Torrent Info
Title [GigaCourse.Com] Udemy - Data Engineering Essentials Hands-on SQL Python and Spark
Category
Size 24.21GB

Files List
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[CourseClub.Me].url 122B
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[GigaCourse.Com].url 49B
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1.1 airport-codes-na.txt 11.14KB
1.1 Basic DDL and DML - Introduction.html 138B
1.1 Basic Transformations.html 146B
1.1 Connecting to Database.html 144B
1.1 Database Operations - Overview.html 159B
1.1 Database Programming using Pandas.html 184B
1.1 DDL – Data Definition Language.html 157B
1.1 DML and Partitioning.html 144B
1.1 Getting help or usage.html 141B
1.1 Getting Started.html 134B
1.1 Installing Python.html 146B
1.1 Introduction to Getting Started for Data copier.html 148B
1.1 Loading Data from files to tables.html 183B
1.1 Overview of Basic Transformations.html 157B
1.1 Overview of main function.html 167B
1.1 Overview of Partitioning.html 161B
1.1 Overview of Pre-Defined Functions.html 158B
1.1 Overview of Spark Metastore.html 145B
1.1 Overview of Views.html 151B
1.1 Predefined Functions.html 144B
1.1 Pre-defined Functions.html 145B
1.1 Reading Data using Pandas - Introduction.html 166B
1.1 Signing up for GCP.html 146B
1.1 Standard Transformations.html 156B
1.1 Starting Spark Context.html 149B
1.1 User Defined Functions.html 146B
1.1 Windowing Functions - Introduction.html 142B
1.2 flightmonth=200801.zip 12.88MB
1.3 Prepare Datasets for Joins.html 149B
1. Basic Programming Constructs using Python - Introduction.mp4 8.67MB
1. Basic Programming Constructs using Python - Introduction.srt 3.43KB
1. Basics of File IO using Python - Introduction.mp4 19.15MB
1. Basics of File IO using Python - Introduction.srt 5.55KB
1. Basic Transformations - Introduction.mp4 16.63MB
1. Basic Transformations - Introduction.srt 4.96KB
1. Connecting to Database.mp4 28.26MB
1. Connecting to Database.srt 6.58KB
1. Database Operations - CRUD Operations - Introduction.mp4 10.13MB
1. Database Operations - CRUD Operations - Introduction.srt 3.17KB
1. Database Operations - Overview.mp4 13.99MB
1. Database Operations - Overview.srt 3.36KB
1. Database Programming - Batch Operations - Introduction.mp4 8.08MB
1. Database Programming - Batch Operations - Introduction.srt 2.75KB
1. Database Programming using Pandas - Introduction.mp4 11.85MB
1. Database Programming using Pandas - Introduction.srt 2.67KB
1. DDL - Data Definition Language.mp4 49.46MB
1. DDL - Data Definition Language.srt 8.14KB
1. Delimited Files and Collections.mp4 9.22MB
1. Delimited Files and Collections.srt 2.87KB
1. Deploy and Validate Application on Remote Server - Introduction.mp4 9.76MB
1. Deploy and Validate Application on Remote Server - Introduction.srt 2.88KB
1. Develop myFilter.mp4 38.67MB
1. Develop myFilter.srt 9.71KB
1. Dockerizing the application - Introduction.mp4 4.85MB
1. Dockerizing the application - Introduction.srt 1.32KB
1. Enable telnet on Windows.mp4 14.00MB
1. Enable telnet on Windows.srt 4.97KB
1. Getting help or usage.mp4 34.51MB
1. Getting help or usage.srt 6.00KB
1. Getting Started - Overview.mp4 9.76MB
1. Getting Started - Overview.srt 2.84KB
1. Getting Started with Cloud9.mp4 23.23MB
1. Getting Started with Cloud9.srt 4.83KB
1. Installing Python on Windows.mp4 48.48MB
1. Installing Python on Windows.srt 15.44KB
1. Introduction.mp4 20.06MB
1. Introduction.srt 4.16KB
1. Introduction about course.mp4 38.10MB
1. Introduction about course.srt 7.76KB
1. Introduction - Managing Tables - DML and Partitioning.mp4 23.51MB
1. Introduction - Managing Tables - DML and Partitioning.srt 5.18KB
1. Introduction - Overview of Spark SQL Functions.mp4 10.52MB
1. Introduction - Overview of Spark SQL Functions.srt 2.69KB
1. Introduction - Perform Database Operations.mp4 9.20MB
1. Introduction - Perform Database Operations.srt 2.82KB
1. Introduction - Setup Postgres Database.mp4 7.28MB
1. Introduction - Setup Postgres Database.srt 2.28KB
1. Introduction to Getting Started for Data copier.mp4 11.61MB
1. Introduction to Getting Started for Data copier.srt 4.64KB
1. Introduction to Pycharm for Python Application Development.mp4 4.28MB
1. Introduction to Pycharm for Python Application Development.srt 2.31KB
1. Introduction to Python Virtual Environments.mp4 1.80MB
1. Introduction to Python Virtual Environments.srt 1.08KB
1. Introduction to Single Node Hadoop Cluster.mp4 16.40MB
1. Introduction to Single Node Hadoop Cluster.srt 4.88KB
1. Introduction - Windowing Functions.mp4 11.81MB
1. Introduction - Windowing Functions.srt 2.97KB
1. Loading Data from files to tables - Introduction.mp4 7.30MB
1. Loading Data from files to tables - Introduction.srt 1.86KB
1. Manipulating Collections using loops - Introduction.mp4 8.86MB
1. Manipulating Collections using loops - Introduction.mp4 14.30MB
1. Manipulating Collections using loops - Introduction.srt 2.99KB
1. Manipulating Collections using loops - Introduction.srt 4.39KB
1. Overview of Basic Transformations.mp4 17.16MB
1. Overview of Basic Transformations.srt 3.56KB
1. Overview of Collections - list and set - Introduction.mp4 10.25MB
1. Overview of Collections - list and set - Introduction.srt 3.65KB
1. Overview of Functions.mp4 41.40MB
1. Overview of Functions.srt 7.65KB
1. Overview of main function.mp4 38.65MB
1. Overview of main function.srt 7.17KB
1. Overview of Pandas Libraries.mp4 12.33MB
1. Overview of Pandas Libraries.srt 3.94KB
1. Overview of Partitioning.mp4 8.91MB
1. Overview of Partitioning.srt 2.24KB
1. Overview of Predefined Functions in Spark.mp4 49.97MB
1. Overview of Predefined Functions in Spark.srt 11.41KB
1. Overview of REST APIs.mp4 26.04MB
1. Overview of REST APIs.srt 5.55KB
1. Overview of Spark Metastore.mp4 42.76MB
1. Overview of Spark Metastore.srt 10.31KB
1. Overview of Views.mp4 46.75MB
1. Overview of Views.srt 10.11KB
1. Predefined Functions - Introduction.mp4 6.84MB
1. Predefined Functions - Introduction.srt 2.82KB
1. Prepare Datasets for Joins.mp4 37.08MB
1. Prepare Datasets for Joins.srt 9.28KB
1. Preparing Data Sets.mp4 18.14MB
1. Preparing Data Sets.srt 4.42KB
1. Processing JSON Data - Introduction.mp4 9.49MB
1. Processing JSON Data - Introduction.srt 3.04KB
1. Reading Data using Pandas - Introduction.mp4 9.82MB
1. Reading Data using Pandas - Introduction.srt 2.91KB
1. Setup Data Sets for Practice.mp4 38.95MB
1. Setup Data Sets for Practice.srt 7.08KB
1. Setup Virtual Environment and Install Pyspark.mp4 37.88MB
1. Setup Virtual Environment and Install Pyspark.srt 7.42KB
1. Signing up for GCP.mp4 23.59MB
1. Signing up for GCP.srt 5.31KB
1. Standard Transformations.mp4 7.51MB
1. Standard Transformations.srt 2.64KB
1. Starting Spark Context - pyspark.mp4 49.13MB
1. Starting Spark Context - pyspark.srt 10.99KB
1. User Defined Functions - Introduction.mp4 7.34MB
1. User Defined Functions - Introduction.srt 2.11KB
1. Using Custom Docker Image - Introduction.mp4 4.99MB
1. Using Custom Docker Image - Introduction.srt 924B
10. [Commands] Setup Jupyter Lab on Cloud9.html 615B
10.1 Creating Temp Views.html 137B
10.1 Cumulative or Moving Aggregations.html 167B
10.1 Date and Time Manipulation Functions.html 161B
10.1 Dropping Tables.html 148B
10.1 Dropping users table.html 171B
10.1 Example - Web Application.html 153B
10.1 Filtering - Window Function Results.html 156B
10.1 Getting HDFS Storage Usage.html 146B
10.1 Jupyter Lab and Postgresql.html 155B
10.1 Lambda Functions.html 140B
10.1 Overview of File Formats.html 145B
10.1 Query Example - Word Count.html 148B
10.1 Querying Data From Table.html 162B
10.1 Role of Spark or Hive Metastore.html 150B
10.1 Setup Project using Pycharm.html 160B
10.1 Solutions - Problem 4.html 139B
10.1 Sorting Data.html 137B
10.1 Sorting Data.html 143B
10.1 Total Aggregations.html 142B
10.1 Usage Scenarios.html 152B
10.1 Using Dynamic Partition Mode.html 152B
10.1 Validating set.html 152B
10.1 Writing Data Frames to Files.html 158B
10. Apply Schema on lists from files.mp4 78.09MB
10. Apply Schema on lists from files.srt 20.38KB
10. Common Use Cases for JSON.mp4 76.28MB
10. Common Use Cases for JSON.srt 13.62KB
10. Creating Temporary Views.mp4 27.14MB
10. Creating Temporary Views.srt 7.15KB
10. Cumulative Operations using itertools.mp4 48.63MB
10. Cumulative Operations using itertools.srt 15.40KB
10. Cumulative or Moving Aggregations.mp4 51.16MB
10. Cumulative or Moving Aggregations.srt 10.84KB
10. Date and Time Manipulation Functions.mp4 26.21MB
10. Date and Time Manipulation Functions.srt 6.64KB
10. Define requirements file for Web Application.mp4 15.24MB
10. Define requirements file for Web Application.srt 5.07KB
10. Dropping Tables.mp4 32.05MB
10. Dropping Tables.srt 5.80KB
10. Drop users table.mp4 15.31MB
10. Drop users table.srt 4.04KB
10. Example - Web Application.mp4 67.32MB
10. Example - Web Application.srt 10.16KB
10. Exercises - Basic Programming Constructs.mp4 35.24MB
10. Exercises - Basic Programming Constructs.srt 12.16KB
10. Filtering Windowing Function Results.mp4 37.13MB
10. Filtering Windowing Function Results.srt 8.00KB
10. Getting Current Date or Timestamp.mp4 22.45MB
10. Getting Current Date or Timestamp.srt 5.03KB
10. Getting HDFS Storage Usage.mp4 15.04MB
10. Getting HDFS Storage Usage.srt 3.49KB
10. Jupyter Lab and Postgresql on local systems such as Mac.mp4 38.72MB
10. Jupyter Lab and Postgresql on local systems such as Mac.srt 9.40KB
10. Lambda Functions.mp4 27.17MB
10. Lambda Functions.srt 6.71KB
10. Overview of File Formats.mp4 54.61MB
10. Overview of File Formats.srt 10.75KB
10. Overview of Grouped Aggregations.mp4 13.43MB
10. Overview of Grouped Aggregations.srt 4.02KB
10. Overview of Pycharm Integrated Terminal.mp4 25.38MB
10. Overview of Pycharm Integrated Terminal.srt 8.18KB
10. Process dict values.mp4 19.96MB
10. Process dict values.srt 6.80KB
10. Query Example - Word Count.mp4 41.19MB
10. Query Example - Word Count.srt 9.98KB
10. Querying Data From Table.mp4 70.15MB
10. Querying Data From Table.srt 16.49KB
10. Read csv into list of strings.mp4 58.97MB
10. Read csv into list of strings.srt 11.21KB
10. Role of Spark Metastore or Hive Metastore.mp4 27.82MB
10. Role of Spark Metastore or Hive Metastore.srt 7.07KB
10. Run and Validate Dockerized Application.mp4 73.58MB
10. Run and Validate Dockerized Application.srt 12.61KB
10. Run application using Docker.mp4 60.25MB
10. Run application using Docker.srt 9.29KB
10. Setup Project using Pycharm.mp4 30.68MB
10. Setup Project using Pycharm.srt 7.57KB
10. Setup Sample Data.mp4 18.57MB
10. Setup Sample Data.srt 3.68KB
10. Setup Web Application and access using private ip.mp4 30.23MB
10. Setup Web Application and access using private ip.srt 5.63KB
10. Solution - Get Origins without master data.mp4 26.89MB
10. Solution - Get Origins without master data.srt 7.08KB
10. Sorting Data.mp4 32.16MB
10. Sorting Data.mp4 102.90MB
10. Sorting Data.srt 7.15KB
10. Sorting Data.srt 18.98KB
10. Total Aggregations.mp4 69.51MB
10. Total Aggregations.srt 18.93KB
10. Usage Scenarios.mp4 28.19MB
10. Usage Scenarios.srt 5.09KB
10. Using Dynamic Partition Mode.mp4 35.64MB
10. Using Dynamic Partition Mode.srt 6.67KB
10. Validate Integration logic.mp4 49.50MB
10. Validate Integration logic.srt 8.48KB
10. Validate Jupyter Lab Setup.mp4 67.88MB
10. Validate Jupyter Lab Setup.srt 15.12KB
10. Validate myJoin Function.mp4 46.88MB
10. Validate myJoin Function.srt 14.26KB
10. Validate Network Connectivity between Docker Containers.mp4 22.50MB
10. Validate Network Connectivity between Docker Containers.srt 3.66KB
10. Validating sets.mp4 13.06MB
10. Validating sets.srt 3.26KB
10. Writing Data Frames to Files.mp4 75.74MB
10. Writing Data Frames to Files.srt 17.35KB
11.1 Aggregate data using groupBy.html 152B
11.1 Analytic Functions – Windowing.html 162B
11.1 Conclusion - Final Solution.html 150B
11.1 Date and Time Arithmetic.html 149B
11.1 Dropping Tables and Databases.html 150B
11.1 Exercise - Database Operations.html 158B
11.1 Exercise - Getting Started with Spark SQL.html 143B
11.1 Exercise - Partitioned Tables.html 152B
11.1 Joining Data Frames.html 149B
11.1 Jupyter Lab and Postgresql on Ubuntu VM (AWS Cloud9 and GCP).html 168B
11.1 list and set - Usage.html 156B
11.1 Managing Dependencies for the project.html 154B
11.1 Recap - CRUD Operations.html 159B
11.1 Solution - Daily Product Revenue.html 161B
11.1 Solutions - Problem 5.html 139B
11.1 Sub Partitioning.html 153B
11.1 Usage of Lambda Functions.html 149B
11.1 Using HDFS Stat Commands.html 143B
11.1 Using Spark SQL.html 133B
11. Aggregate data using groupBy.mp4 56.24MB
11. Aggregate data using groupBy.srt 13.96KB
11. Analytic Functions - Windowing.mp4 82.29MB
11. Analytic Functions - Windowing.srt 18.41KB
11. Conclusion - Final Solution.mp4 23.39MB
11. Conclusion - Final Solution.srt 6.19KB
11. Date and Time Arithmetic.mp4 37.84MB
11. Date and Time Arithmetic.srt 8.07KB
11. Date Arithmetic.mp4 37.76MB
11. Date Arithmetic.srt 7.86KB
11. Develop logic for multiple tables.mp4 34.60MB
11. Develop logic for multiple tables.srt 5.56KB
11. Disable Access to Web Application using Public ip.mp4 25.03MB
11. Disable Access to Web Application using Public ip.srt 5.23KB
11. Drop Tables and Databases.mp4 26.40MB
11. Drop Tables and Databases.srt 5.95KB
11. Dynamic Arithmetic Operations using eval and exec.mp4 16.38MB
11. Dynamic Arithmetic Operations using eval and exec.srt 6.19KB
11. Exercise - Database Operations.mp4 18.74MB
11. Exercise - Database Operations.srt 3.67KB
11. Exercise - Getting Started with Spark SQL.mp4 58.18MB
11. Exercise - Getting Started with Spark SQL.srt 12.56KB
11. Exercise - Partitioned Tables.mp4 27.01MB
11. Exercise - Partitioned Tables.srt 5.46KB
11. Exercises - Development of Map Reduce APIs.mp4 41.98MB
11. Exercises - Development of Map Reduce APIs.srt 10.40KB
11. Get Order Count by Status.mp4 50.02MB
11. Get Order Count by Status.srt 15.50KB
11. Install Dependencies using requirements file for Web Application.mp4 43.80MB
11. Install Dependencies using requirements file for Web Application.srt 5.29KB
11. Intergrate Spark 2 with Jupyter Lab.mp4 38.77MB
11. Intergrate Spark 2 with Jupyter Lab.srt 9.50KB
11. Joining Data Frames.mp4 94.61MB
11. Joining Data Frames.srt 18.50KB
11. Jupyter Lab and Postgresql using Ubuntu VM.mp4 70.67MB
11. Jupyter Lab and Postgresql using Ubuntu VM.srt 14.75KB
11. list and set - Usage.mp4 59.80MB
11. list and set - Usage.srt 11.34KB
11. Managing Dependencies for the project.mp4 29.90MB
11. Managing Dependencies for the project.srt 5.30KB
11. Overview of Pycharm Integrated Terminal on Mac.mp4 12.26MB
11. Overview of Pycharm Integrated Terminal on Mac.srt 5.85KB
11. Processing dict items.mp4 36.52MB
11. Processing dict items.srt 10.73KB
11. Read Data from Files.mp4 63.62MB
11. Read Data from Files.srt 12.28KB
11. Recap - CRUD Operations.mp4 9.67MB
11. Recap - CRUD Operations.srt 3.54KB
11. Running Application from the Docker Container.mp4 51.82MB
11. Running Application from the Docker Container.srt 9.60KB
11. Solution - Daily Product Revenue.mp4 32.09MB
11. Solution - Daily Product Revenue.srt 5.79KB
11. Solution - Get Count of Flights without master data.mp4 18.32MB
11. Solution - Get Count of Flights without master data.srt 4.22KB
11. Sub Partitioning.mp4 41.98MB
11. Sub Partitioning.srt 8.98KB
11. Usage of Lambda Functions.mp4 79.27MB
11. Usage of Lambda Functions.srt 11.45KB
11. USing HDFS Stat Commands.mp4 10.79MB
11. USing HDFS Stat Commands.srt 2.29KB
11. Using itertools starmap.mp4 31.09MB
11. Using itertools starmap.srt 8.79KB
11. Using Spark SQL.mp4 57.88MB
11. Using Spark SQL.srt 14.06KB
11. Write to JSON files using json module.mp4 64.99MB
11. Write to JSON files using json module.srt 10.86KB
11. Writing Strings to file in Append Mode.mp4 33.46MB
11. Writing Strings to file in Append Mode.srt 9.46KB
12. [Code and Instructions] - Read data from files.html 1.51KB
12.1 Aggregate data using rollup.html 151B
12.1 Analytic Functions – Ranking.html 160B
12.1 Create GitHub Project.html 157B
12.1 Exercises - Basic SQL Queries.html 158B
12.1 Exercises - Partitioning Tables.html 166B
12.1 Exercise - User Defined Functions.html 155B
12.1 HDFS File Permissions.html 141B
12.1 Solutions - Problem 6.html 139B
12.1 Truncating Tables.html 138B
12.1 Using Date and Time Trunc Functions.html 160B
12. Aggregate data using rollup.mp4 56.61MB
12. Aggregate data using rollup.srt 11.66KB
12. Analytic Functions - Ranking.mp4 72.65MB
12. Analytic Functions - Ranking.srt 19.69KB
12. Beginning Date or Time using date_trunc.mp4 28.04MB
12. Beginning Date or Time using date_trunc.srt 5.88KB
12. Create GitHub Project.mp4 63.97MB
12. Create GitHub Project.srt 11.79KB
12. Create Virtual Environment for Data Engineering Application.mp4 27.02MB
12. Create Virtual Environment for Data Engineering Application.srt 3.93KB
12. Delete Docker Container.mp4 37.58MB
12. Delete Docker Container.srt 7.75KB
12. Download and Install Spark 3.mp4 14.65MB
12. Download and Install Spark 3.srt 2.94KB
12. Exercise - Partitioned Tables.mp4 9.79MB
12. Exercise - Partitioned Tables.srt 2.69KB
12. Exercises - Basic Operations on list and.mp4 15.66MB
12. Exercises - Basic Operations on list and.srt 5.36KB
12. Exercises - Writing Basic SQL Queries.mp4 23.99MB
12. Exercises - Writing Basic SQL Queries.srt 5.38KB
12. Exercise - User Defined Functions.mp4 12.18MB
12. Exercise - User Defined Functions.srt 2.96KB
12. Get Revenue Details per Order.mp4 99.79MB
12. Get Revenue Details per Order.srt 24.31KB
12. HDFS File Permissions.mp4 68.92MB
12. HDFS File Permissions.srt 13.46KB
12. Install sshuttle on Mac using brew.mp4 10.78MB
12. Install sshuttle on Mac using brew.srt 4.63KB
12. Managing Files and Folders using Python.mp4 115.22MB
12. Managing Files and Folders using Python.srt 23.38KB
12. Overview of itertools groupby.mp4 35.56MB
12. Overview of itertools groupby.srt 10.34KB
12. Overview of Run Time Arguments for Python Applications.mp4 21.48MB
12. Overview of Run Time Arguments for Python Applications.srt 6.64KB
12. Solution - Get Count of Flights per Airport without master data.mp4 23.86MB
12. Solution - Get Count of Flights per Airport without master data.srt 5.77KB
12. Sorting dict items.mp4 21.63MB
12. Sorting dict items.srt 6.09KB
12. Truncating Tables.mp4 16.55MB
12. Truncating Tables.srt 3.08KB
12. Using Date and Time Trunc Functions.mp4 42.15MB
12. Using Date and Time Trunc Functions.srt 8.84KB
12. Validate logic for table list as run time argument.mp4 68.92MB
12. Validate logic for table list as run time argument.srt 11.70KB
12. Write to JSON files using pandas.mp4 49.45MB
12. Write to JSON files using pandas.srt 8.29KB
13.1 Aggregate data using cube.html 149B
13.1 Analytic Functions - Filtering.html 161B
13.1 Date and Time Extract Functions.html 156B
13.1 Managed Tables - Exercise.html 146B
13.1 Overriding Properties.html 141B
13.1 Solutions - Problem 7.html 139B
13. Access Web Application using Private IP using SSH as proxy.mp4 42.94MB
13. Access Web Application using Private IP using SSH as proxy.srt 9.15KB
13. Aggregate data using cube.cmproj.mp4 55.85MB
13. Aggregate data using cube.cmproj.srt 10.70KB
13. Analytic Functions - Filtering.mp4 58.87MB
13. Analytic Functions - Filtering.srt 16.05KB
13. Configure Spark 3.mp4 58.91MB
13. Configure Spark 3.srt 10.16KB
13. Date and Time Extract Functions.mp4 25.04MB
13. Date and Time Extract Functions.srt 6.79KB
13. Exercise - Managed Tables.mp4 51.29MB
13. Exercise - Managed Tables.srt 10.08KB
13. Exercises - Overview of Collections - dict and set.mp4 15.75MB
13. Exercises - Overview of Collections - dict and set.srt 4.96KB
13. Get Order Count by Month.mp4 27.67MB
13. Get Order Count by Month.srt 8.27KB
13. Get order count by status using itertools groupby.mp4 25.53MB
13. Get order count by status using itertools groupby.srt 6.80KB
13. Install Dependencies for Data Engineering Application.mp4 52.53MB
13. Install Dependencies for Data Engineering Application.srt 6.88KB
13. List of Delimited Strings.mp4 26.73MB
13. List of Delimited Strings.srt 7.76KB
13. Overriding Properties.mp4 42.70MB
13. Overriding Properties.srt 9.30KB
13. Passing Run Time Arguments using Pycharm.mp4 20.45MB
13. Passing Run Time Arguments using Pycharm.srt 6.13KB
13. Process Data using Spark APIs.mp4 43.62MB
13. Process Data using Spark APIs.srt 9.17KB
13. Push changes to remote git repository.mp4 30.96MB
13. Push changes to remote git repository.srt 5.94KB
13. Solution - Get Daily Revenue.mp4 23.36MB
13. Solution - Get Daily Revenue.srt 5.80KB
13. Using to_char and to_date.mp4 74.11MB
13. Using to_char and to_date.srt 14.97KB
14. [Code and Instructions] - Process data using Spark APIs.html 1.42KB
14.1 Joining Data Sets.html 155B
14.1 Overview of Sorting Data Frames.html 155B
14.1 Ranking and Filtering - Recap.html 161B
14.1 Solutions - Problem 8.html 139B
14.1 Using to_date and to_timestamp.html 155B
14. Extracting Information using extract.mp4 21.79MB
14. Extracting Information using extract.srt 4.81KB
14. Get revenue per order using itertools groupby.mp4 66.67MB
14. Get revenue per order using itertools groupby.srt 15.42KB
14. Install Dependencies for Data Engineering Application using Python 3.6.mp4 21.56MB
14. Install Dependencies for Data Engineering Application using Python 3.6.srt 4.27KB
14. Joining Data Sets.mp4 102.56MB
14. Joining Data Sets.srt 19.42KB
14. Overview of Sorting Data Frames.mp4 81.52MB
14. Overview of Sorting Data Frames.srt 17.88KB
14. Ranking and Filtering - Recap.mp4 19.18MB
14. Ranking and Filtering - Recap.srt 4.85KB
14. Solution - Get Daily Revenue rolled up till Yearly.mp4 31.18MB
14. Solution - Get Daily Revenue rolled up till Yearly.srt 7.31KB
14. Sorting data in lists and tuples.mp4 36.66MB
14. Sorting data in lists and tuples.srt 11.82KB
14. Using to_date and to_timestamp.mp4 50.75MB
14. Using to_date and to_timestamp.srt 13.31KB
14. Validate Spark 3 using CLIs.mp4 62.49MB
14. Validate Spark 3 using CLIs.srt 12.22KB
15.1 Solutions - Problem 1.html 142B
15.1 Using date_format Function.html 151B
15. Dealing with Unix Timestamp or epoch.mp4 17.31MB
15. Dealing with Unix Timestamp or epoch.srt 4.31KB
15. Intergrate Spark 3 with Jupyter Lab.mp4 25.31MB
15. Intergrate Spark 3 with Jupyter Lab.srt 6.58KB
15. Limitations of Map Reduce Libraries.mp4 12.92MB
15. Limitations of Map Reduce Libraries.srt 3.84KB
15. Manipulate Collections using Comprehensions.mp4 6.25MB
15. Manipulate Collections using Comprehensions.srt 1.89KB
15. Solution - Problem 1 - Get Total Aggregations.mp4 55.30MB
15. Solution - Problem 1 - Get Total Aggregations.srt 11.53KB
15. Sorting list of Delimited Strings.mp4 47.41MB
15. Sorting list of Delimited Strings.srt 14.18KB
15. Using date_format Function.mp4 40.32MB
15. Using date_format Function.srt 9.27KB
15. Validate Python and Package Compatibility and Install Python 3.6.mp4 58.77MB
15. Validate Python and Package Compatibility and Install Python 3.6.srt 8.78KB
15. Write Data to Files.mp4 44.69MB
15. Write Data to Files.srt 10.78KB
16. [Code and Instructions] - Write data to files.html 1.95KB
16.1 Dealing with Unix Timestamp.html 152B
16.1 Overview of Numeric Functions.html 155B
16.1 Solutions - Problem 2.html 142B
16. Conclusion about understanding Python Virtual Environments.mp4 17.59MB
16. Conclusion about understanding Python Virtual Environments.srt 3.81KB
16. Dealing with Unix Timestamp.mp4 39.05MB
16. Dealing with Unix Timestamp.srt 9.54KB
16. Exercises - Sorting lists and sets.mp4 34.01MB
16. Exercises - Sorting lists and sets.srt 7.52KB
16. Exercises - Understanding Map Reduce Libraries.mp4 11.57MB
16. Exercises - Understanding Map Reduce Libraries.srt 3.04KB
16. List Comprehensions using Python.mp4 44.71MB
16. List Comprehensions using Python.srt 11.36KB
16. Overview of Numeric Functions.mp4 40.38MB
16. Overview of Numeric Functions.srt 10.23KB
16. Solution - Problem 2 - Get Total Aggregations By FlightDate.mp4 35.31MB
16. Solution - Problem 2 - Get Total Aggregations By FlightDate.srt 6.49KB
17.1 Data Type Conversion.html 146B
17.1 Dealing with Nulls.html 143B
17. Data Type Conversion.mp4 23.29MB
17. Data Type Conversion.srt 5.35KB
17. Dealing with Nulls.mp4 40.83MB
17. Dealing with Nulls.srt 9.53KB
17. Set Comprehensions using Python.mp4 19.00MB
17. Set Comprehensions using Python.srt 5.66KB
17. Validating Writing Data to Files.mp4 50.55MB
17. Validating Writing Data to Files.srt 10.34KB
18.1 Handling NULL Values.html 146B
18.1 Using CASE and WHEN.html 144B
18. Dict Comprehensions in Python.mp4 30.66MB
18. Dict Comprehensions in Python.srt 8.70KB
18. Handling NULL Values.mp4 26.74MB
18. Handling NULL Values.srt 6.10KB
18. Productionizing the Code.mp4 25.50MB
18. Productionizing the Code.srt 7.10KB
18. Using CASE and WHEN.mp4 47.93MB
18. Using CASE and WHEN.srt 11.15KB
19. [Code and Instructions] - Productionizing the code.html 3.37KB
19.1 Limitations of using Loops.html 164B
19.1 Using CASE and WHEN.html 145B
19. Limitations of using loops.mp4 36.33MB
19. Limitations of using loops.srt 7.76KB
19. Using CASE and WHEN.mp4 45.58MB
19. Using CASE and WHEN.srt 9.11KB
2. [Commands] - Setup Virtual Environment and Install Pyspark.html 201B
2.1 Analyze Datasets for Joins.html 147B
2.1 Create Dummy Data Frame.html 148B
2.1 Create Spark Metastore Tables.html 150B
2.1 CRUD Operations.html 143B
2.1 Data Frame for basic transformations.html 160B
2.1 Defining Functions.html 142B
2.1 Exploring Spark Catalog.html 141B
2.1 Getting Help.html 142B
2.1 GitHub repository for HR Database.html 95B
2.1 Introduction to Partitioning.html 152B
2.1 Listing HDFS Files.html 138B
2.1 List Partitioning.html 154B
2.1 Named Queries - Using WITH Clause.html 165B
2.1 Overview of Anaconda.html 149B
2.1 Overview of Database Programming.html 170B
2.1 Overview of Data Model.html 153B
2.1 Overview of Data Types.html 155B
2.1 Overview of dict and tuple.html 166B
2.1 Overview of Environment Variables.html 175B
2.1 Overview of Functions.html 145B
2.1 Overview of list and set.html 162B
2.1 Overview of Pre-defined Functions.html 156B
2.1 Overview of Retail Data.html 177B
2.1 Overview of Spark Documentation.html 150B
2.1 Overview of Spark read APIs.html 154B
2.1 Overview of SQL.html 145B
2.1 Pandas Data Structures – Overview.html 161B
2.1 Populating departments table.html 178B
2.1 Problem Statement - Data Copier.html 164B
2.1 Reading files into collections.html 168B
2.1 Recap of Insert.html 154B
2.1 Setup Postgres using Docker.html 156B
2.1 Spark SQL – Overview.html 143B
2.1 String Manipulation Functions.html 155B
2.1 Understanding GCP Web Console.html 157B
2.1 Using psql.html 131B
2.1 Validate Postgres Setup using Docker.html 187B
2.2 Prepare HR Database.html 139B
2. Analyze Datasets for Joins.mp4 54.74MB
2. Analyze Datasets for Joins.srt 12.87KB
2. Create Dummy Data Frame.mp4 27.30MB
2. Create Dummy Data Frame.srt 8.03KB
2. Create Spark Metastore Tables.mp4 67.06MB
2. Create Spark Metastore Tables.srt 14.85KB
2. Creating Cloud9 Environment.mp4 33.91MB
2. Creating Cloud9 Environment.srt 7.66KB
2. CRUD Operations.mp4 12.95MB
2. CRUD Operations.srt 3.63KB
2. Data Frames for basic transformations.mp4 27.26MB
2. Data Frames for basic transformations.srt 6.58KB
2. Defining Functions.mp4 20.29MB
2. Defining Functions.srt 4.41KB
2. Desired Audience.mp4 20.51MB
2. Desired Audience.srt 4.70KB
2. Different IP Address Types.mp4 21.70MB
2. Different IP Address Types.srt 4.87KB
2. Download and Install Hive.mp4 13.22MB
2. Download and Install Hive.srt 3.45KB
2. Exploring Spark Catalog.mp4 21.02MB
2. Exploring Spark Catalog.srt 4.17KB
2. Filtering Data using filter.mp4 43.77MB
2. Filtering Data using filter.srt 10.62KB
2. Getting Help.mp4 22.02MB
2. Getting Help.srt 6.21KB
2. Getting started with docker custom image.mp4 37.18MB
2. Getting started with docker custom image.srt 8.00KB
2. Installation of Pycharm on Windows.mp4 18.36MB
2. Installation of Pycharm on Windows.srt 4.51KB
2. Introduction to Partitioning.mp4 8.28MB
2. Introduction to Partitioning.srt 1.91KB
2. Listing HDFS Files.mp4 41.48MB
2. Listing HDFS Files.srt 5.75KB
2. List Partitioning.mp4 27.93MB
2. List Partitioning.srt 5.64KB
2. Overview of Anaconda.mp4 66.29MB
2. Overview of Anaconda.srt 22.25KB
2. Overview of Database Programming.mp4 27.84MB
2. Overview of Database Programming.srt 5.70KB
2. Overview of Data Model.mp4 25.33MB
2. Overview of Data Model.srt 5.02KB
2. Overview of Data Types.mp4 58.28MB
2. Overview of Data Types.srt 10.84KB
2. Overview of Delimited Text Files.mp4 59.24MB
2. Overview of Delimited Text Files.srt 14.38KB
2. Overview of dict and tuple.mp4 33.32MB
2. Overview of dict and tuple.srt 7.74KB
2. Overview of Environment Variables.mp4 25.39MB
2. Overview of Environment Variables.srt 5.01KB
2. Overview of File IO.mp4 18.67MB
2. Overview of File IO.srt 4.90KB
2. Overview of Functions.mp4 18.73MB
2. Overview of Functions.srt 4.11KB
2. Overview of GCP Web Console.mp4 14.24MB
2. Overview of GCP Web Console.srt 3.41KB
2. Overview of JSON.mp4 19.77MB
2. Overview of JSON.srt 5.31KB
2. Overview of list and set.mp4 28.60MB
2. Overview of list and set.srt 6.50KB
2. Overview of Named Queries.mp4 27.40MB
2. Overview of Named Queries.srt 5.97KB
2. Overview of Predefined Functions.mp4 25.84MB
2. Overview of Predefined Functions.srt 5.49KB
2. Overview of Retail Data.mp4 36.07MB
2. Overview of Retail Data.srt 5.83KB
2. Overview of Spark Documentation.mp4 20.83MB
2. Overview of Spark Documentation.srt 3.96KB
2. Overview of Spark Read APIs.mp4 79.99MB
2. Overview of Spark Read APIs.srt 15.94KB
2. Overview of SQL.mp4 14.55MB
2. Overview of SQL.srt 3.91KB
2. Pandas Data Structures.mp4 41.64MB
2. Pandas Data Structures.srt 10.16KB
2. Populating Departments data into table.mp4 75.06MB
2. Populating Departments data into table.srt 14.89KB
2. Prepare Database for validation.mp4 14.99MB
2. Prepare Database for validation.srt 3.44KB
2. Prepare HR Database.mp4 21.60MB
2. Prepare HR Database.srt 5.30KB
2. Problem Statement - Data Copier.mp4 25.09MB
2. Problem Statement - Data Copier.srt 5.65KB
2. Push Application Changes to GitHub Repository.mp4 19.28MB
2. Push Application Changes to GitHub Repository.srt 4.16KB
2. Reading Files into Collections.mp4 26.75MB
2. Reading Files into Collections.srt 6.76KB
2. Recap of Insert.mp4 18.91MB
2. Recap of Insert.srt 3.61KB
2. Setup Postgres using Docker.mp4 48.89MB
2. Setup Postgres using Docker.srt 10.67KB
2. Setup Prerequisties.mp4 31.43MB
2. Setup Prerequisties.srt 8.18KB
2. Spark SQL - Overview.mp4 42.50MB
2. Spark SQL - Overview.srt 9.86KB
2. String Manipulation Functions.mp4 7.81MB
2. String Manipulation Functions.srt 2.07KB
2. Using curl command.mp4 44.63MB
2. Using curl command.srt 7.74KB
2. Using psql.mp4 95.16MB
2. Using psql.srt 17.74KB
2. Validate myFilter.mp4 45.69MB
2. Validate myFilter.srt 10.20KB
2. Validate Postgres Setup using Docker.mp4 25.61MB
2. Validate Postgres Setup using Docker.srt 4.91KB
2. Validating Python Versions.mp4 18.71MB
2. Validating Python Versions.srt 4.39KB
20. Exercises - Manipulating Collections using loops.mp4 49.95MB
20. Exercises - Manipulating Collections using loops.srt 12.57KB
20. Setting up Data for Production Validation.mp4 41.25MB
20. Setting up Data for Production Validation.srt 6.37KB
21. Running Application using YARN.mp4 79.90MB
21. Running Application using YARN.srt 13.09KB
22. Detailed Validation of the Application.mp4 70.90MB
22. Detailed Validation of the Application.srt 13.24KB
3.1 Adding or Modifying Columns.html 160B
3.1 Adding Pandas to the project.html 182B
3.1 Add required dependencies.html 176B
3.1 Basic Filtering of Data.html 147B
3.1 Categories of Functions.html 148B
3.1 Common Operations.html 155B
3.1 Common Operations.html 157B
3.1 Create Database and Users Table.html 161B
3.1 Creating Metastore Tables using catalog.html 157B
3.1 Creating Table.html 142B
3.1 Creating Tables using Parquet.html 153B
3.1 Define Problem Statement.html 149B
3.1 Define Problem Statement.html 155B
3.1 Docker Cheat Sheet.html 147B
3.1 Doc Strings.html 135B
3.1 flightmonth=200801.zip 12.87MB
3.1 Managing HDFS Directories.html 145B
3.1 Managing Partitions - List.html 161B
3.1 Numeric Functions.html 140B
3.1 Overview of Data Types.html 143B
3.1 Overview of GCP Pricing.html 151B
3.1 Overview of Series.html 148B
3.1 Overview of Spark SQL CLI.html 144B
3.1 Overview of Standard Transformations.html 174B
3.1 Overview of Sub Queries.html 157B
3.1 Overview of Windowing Functions.html 154B
3.1 Preparing Database.html 157B
3.1 Problem Statements for Joins.html 148B
3.1 Python CLI and Jupyter Notebook.html 160B
3.1 Recap of RDBMS Concepts.html 161B
3.1 Setup Postgres using Docker.html 148B
3.1 Using os module for Environment Variables.html 183B
3.1 Validate departments table.html 176B
3.1 Validating Functions.html 144B
3.1 Variables and Objects.html 151B
3.2 Understand airlines data.html 151B
3. Adding or Modifying Columns.mp4 72.03MB
3. Adding or Modifying Columns.srt 12.51KB
3. Adding Pandas to the project.mp4 31.76MB
3. Adding Pandas to the project.srt 7.08KB
3. Add required dependencies for database programming using pandas.mp4 15.57MB
3. Add required dependencies for database programming using pandas.srt 3.75KB
3. Basic Filtering of Data.mp4 45.24MB
3. Basic Filtering of Data.srt 12.22KB
3. Case Conversion and Length.mp4 26.60MB
3. Case Conversion and Length.srt 5.55KB
3. Categories of Functions.mp4 17.82MB
3. Categories of Functions.srt 5.17KB
3. Common Operations.mp4 13.37MB
3. Common Operations.srt 3.90KB
3. Common Operations - dict and tuple.mp4 25.86MB
3. Common Operations - dict and tuple.srt 7.53KB
3. Create Database and Users Table.mp4 53.25MB
3. Create Database and Users Table.srt 11.25KB
3. Create Virtual Environment for Web Application.mp4 49.78MB
3. Create Virtual Environment for Web Application.srt 10.14KB
3. Create Working Directory for the Project.mp4 8.73MB
3. Create Working Directory for the Project.srt 2.65KB
3. Creating Metastore Tables using catalog.mp4 65.80MB
3. Creating Metastore Tables using catalog.srt 16.98KB
3. Creating Table.mp4 37.04MB
3. Creating Table.srt 8.00KB
3. Creating Tables using Parquet.mp4 34.62MB
3. Creating Tables using Parquet.srt 6.54KB
3. Define Problem Statement.mp4 19.57MB
3. Define Problem Statement.mp4 25.36MB
3. Define Problem Statement.srt 5.37KB
3. Define Problem Statement.srt 5.88KB
3. Develop myMap Function.mp4 30.72MB
3. Develop myMap Function.srt 9.46KB
3. Docker Cheat Sheet.mp4 92.15MB
3. Docker Cheat Sheet.srt 19.13KB
3. Doc Strings.mp4 19.86MB
3. Doc Strings.srt 3.46KB
3. Folders and Files.mp4 84.58MB
3. Folders and Files.srt 19.50KB
3. Getting Started with Pycharm.mp4 29.74MB
3. Getting Started with Pycharm.srt 7.52KB
3. Installation of Pycharm on Mac.mp4 20.65MB
3. Installation of Pycharm on Mac.srt 5.84KB
3. Install OS Modules in custom docker image.mp4 38.02MB
3. Install OS Modules in custom docker image.srt 7.45KB
3. JSON Data Types.mp4 14.72MB
3. JSON Data Types.srt 3.20KB
3. Launching and using Spark SQL CLI.mp4 29.40MB
3. Launching and using Spark SQL CLI.srt 6.03KB
3. Managing HDFS Directories.mp4 93.79MB
3. Managing HDFS Directories.srt 17.71KB
3. Managing Partitions - List.mp4 52.59MB
3. Managing Partitions - List.srt 9.58KB
3. Numeric Functions.mp4 30.23MB
3. Numeric Functions.srt 9.32KB
3. Overview of Data Types.mp4 66.41MB
3. Overview of Data Types.srt 13.30KB
3. Overview of GCP Pricing.mp4 44.07MB
3. Overview of GCP Pricing.srt 9.24KB
3. Overview of Postman.mp4 47.32MB
3. Overview of Postman.srt 11.79KB
3. Overview of series.mp4 25.52MB
3. Overview of series.srt 7.06KB
3. Overview of Standard Transformations.mp4 26.39MB
3. Overview of Standard Transformations.srt 6.19KB
3. Overview of Sub Queries.mp4 41.45MB
3. Overview of Sub Queries.srt 10.42KB
3. Overview of Windowing Functions.mp4 22.39MB
3. Overview of Windowing Functions.srt 4.90KB
3. Port Numbers associated with Applications or Services.mp4 50.95MB
3. Port Numbers associated with Applications or Services.srt 12.11KB
3. Preparing Database.mp4 27.57MB
3. Preparing Database.srt 7.14KB
3. Pre-requisites.mp4 32.13MB
3. Pre-requisites.srt 6.59KB
3. Problem Statements for Joins.mp4 8.48MB
3. Problem Statements for Joins.srt 2.65KB
3. Projecting data using map.mp4 36.87MB
3. Projecting data using map.srt 9.38KB
3. Pull and validate appropriate python image.mp4 49.57MB
3. Pull and validate appropriate python image.srt 8.36KB
3. Python CLI and Jupyter Notebook.mp4 55.59MB
3. Python CLI and Jupyter Notebook.srt 10.94KB
3. Recap of basic file IO.mp4 58.53MB
3. Recap of basic file IO.srt 14.73KB
3. Recap of RDBMS Concepts.mp4 47.81MB
3. Recap of RDBMS Concepts.srt 8.64KB
3. Requirements to deploy application on Virtual Machine.mp4 28.67MB
3. Requirements to deploy application on Virtual Machine.srt 5.76KB
3. Setup Database for Hive Metastore.mp4 53.29MB
3. Setup Database for Hive Metastore.srt 11.16KB
3. Setup Password less login.mp4 17.24MB
3. Setup Password less login.srt 5.97KB
3. Setup Postgres using Docker.mp4 112.60MB
3. Setup Postgres using Docker.srt 21.47KB
3. Understanding airlines data.mp4 27.09MB
3. Understanding airlines data.srt 6.37KB
3. Using os module for Environment Variables.mp4 50.37MB
3. Using os module for Environment Variables.srt 7.58KB
3. Validate departments table.mp4 22.19MB
3. Validate departments table.srt 5.90KB
3. Validating Functions.mp4 30.48MB
3. Validating Functions.srt 6.73KB
3. Variables and Objects.mp4 10.44MB
3. Variables and Objects.srt 2.89KB
3. Warming up with Cloud9 IDE.mp4 20.99MB
3. Warming up with Cloud9 IDE.srt 5.58KB
4. [Code and Instructions] - Getting Started with Pycharm.html 878B
4. [Must Watch] 30 Day Money Back Guarantee - Feedback and Rating.mp4 6.04MB
4. [Must Watch] 30 Day Money Back Guarantee - Feedback and Rating.srt 4.08KB
4.1 Accessing Elements from list.html 166B
4.1 Accessing Elements - tuples.html 165B
4.1 Accessing Postgres using Docker CLI.html 164B
4.1 Adding Comments.html 136B
4.1 Aggregations using Windowing Functions.html 161B
4.1 Copying files from local to HDFS.html 152B
4.1 Create users table in retail_db Database.html 191B
4.1 Creating Data Frames from lists.html 161B
4.1 CTAS - Create Table as Select.html 156B
4.1 Data Types - Commonly used.html 154B
4.1 DDL - Data Definition Language.html 158B
4.1 Different Types of Constraints.html 163B
4.1 Filtering example using dates.html 153B
4.1 Inferring Schema.html 143B
4.1 Inferring Schema for Tables.html 145B
4.1 Inserting Data.html 142B
4.1 LOAD vs. INSERT.html 138B
4.1 Manipulating Data.html 154B
4.1 Overview of Joins.html 137B
4.1 Overview of Jupyter Lab.html 152B
4.1 Overview of Spark SQL Properties.html 151B
4.1 Overview of Strings.html 142B
4.1 Passing Environment Variables using Pycharm.html 185B
4.1 Populating orders table.html 173B
4.1 Preparing Tables.html 141B
4.1 Preparing Tables.html 147B
4.1 Provision Ubuntu 18.04 Virtual Machine.html 153B
4.1 Reading Data from File.html 161B
4.1 Reading JSON Data using Pandas.html 179B
4.1 Returning Values.html 140B
4.1 Row level transformations.html 163B
4.1 Setup Database Client Libraries.html 169B
4.1 Setup Docker.html 145B
4.1 Setup SQL Workbench.html 140B
4.1 Special Functions - col and lit.html 154B
4.1 String Manipulation Functions.html 153B
4. Accessing elements from list.mp4 24.82MB
4. Accessing elements from list.srt 5.56KB
4. Accessing Elements - tuples.mp4 25.50MB
4. Accessing Elements - tuples.srt 5.07KB
4. Accessing Postgres using Docker CLI.mp4 31.26MB
4. Accessing Postgres using Docker CLI.srt 7.21KB
4. Adding Comments.mp4 17.69MB
4. Adding Comments.srt 3.29KB
4. Aggregations using Windowing Functions.mp4 79.53MB
4. Aggregations using Windowing Functions.srt 15.46KB
4. Clone Application on remote machine.mp4 23.48MB
4. Clone Application on remote machine.srt 3.53KB
4. Configure and Setup Hive Metastore.mp4 53.46MB
4. Configure and Setup Hive Metastore.srt 11.37KB
4. Copying files from local to HDFS.mp4 102.57MB
4. Copying files from local to HDFS.srt 18.68KB
4. Copying Source Code to Docker Custom Image.mp4 80.98MB
4. Copying Source Code to Docker Custom Image.srt 14.00KB
4. Create and attach network to database container.mp4 51.74MB
4. Create and attach network to database container.srt 10.08KB
4. Create JSON String.mp4 61.10MB
4. Create JSON String.srt 9.04KB
4. Create users table in retail_db Database.mp4 11.43MB
4. Create users table in retail_db Database.srt 2.62KB
4. Creating Data Frames from lists.mp4 23.85MB
4. Creating Data Frames from lists.srt 7.78KB
4. CTAS - Create Table As Select.mp4 52.14MB
4. CTAS - Create Table As Select.srt 11.63KB
4. Data Type - Commonly Used.mp4 8.49MB
4. Data Type - Commonly Used.srt 3.21KB
4. DDL - Data Definition Language.mp4 40.96MB
4. DDL - Data Definition Language.srt 7.38KB
4. Details about material to setup postgres database using docker.mp4 9.92MB
4. Details about material to setup postgres database using docker.srt 2.80KB
4. Different Type of Constraints.mp4 71.09MB
4. Different Type of Constraints.srt 11.70KB
4. Download and Install Hadoop.mp4 30.56MB
4. Download and Install Hadoop.srt 7.00KB
4. Extracting Data - Using substr and split_part.mp4 101.89MB
4. Extracting Data - Using substr and split_part.srt 20.63KB
4. File Paths and Names.mp4 28.31MB
4. File Paths and Names.srt 6.39KB
4. Filtering Example using dates.mp4 53.22MB
4. Filtering Example using dates.srt 13.63KB
4. Getting Started with requests.mp4 63.04MB
4. Getting Started with requests.srt 12.61KB
4. Inferring Schema.mp4 52.95MB
4. Inferring Schema.srt 9.61KB
4. Inferring Schema for Tables.mp4 46.56MB
4. Inferring Schema for Tables.srt 10.87KB
4. Inserting Data.mp4 45.98MB
4. Inserting Data.srt 8.42KB
4. Load vs Insert.mp4 25.45MB
4. Load vs Insert.srt 5.87KB
4. Manipulating Data.mp4 30.79MB
4. Manipulating Data.srt 6.32KB
4. Overview of Joins.mp4 6.40MB
4. Overview of Joins.srt 2.02KB
4. Overview of Jupyter Lab.mp4 38.25MB
4. Overview of Jupyter Lab.srt 16.27KB
4. Overview of Spark SQL Properties.mp4 70.11MB
4. Overview of Spark SQL Properties.srt 12.86KB
4. Overview of Strings.mp4 23.81MB
4. Overview of Strings.srt 7.20KB
4. Passing Environment Variables using Pycharm.mp4 26.53MB
4. Passing Environment Variables using Pycharm.srt 5.44KB
4. Populating orders table in chunks.mp4 73.78MB
4. Populating orders table in chunks.srt 13.91KB
4. Prepare Tables.mp4 34.15MB
4. Prepare Tables.srt 7.44KB
4. Preparing Tables.mp4 41.14MB
4. Preparing Tables.srt 7.90KB
4. Provision Ubuntu VM from GCP.mp4 53.55MB
4. Provision Ubuntu VM from GCP.srt 12.58KB
4. Read Delimited files into list of tuples.mp4 83.11MB
4. Read Delimited files into list of tuples.srt 19.45KB
4. Reading Data From File.mp4 34.25MB
4. Reading Data From File.srt 8.26KB
4. Reading JSON Data using Pandas.mp4 51.06MB
4. Reading JSON Data using Pandas.srt 9.63KB
4. Returning Variables.mp4 21.86MB
4. Returning Variables.srt 4.76KB
4. Reverting port for SSH to default port number.mp4 21.16MB
4. Reverting port for SSH to default port number.srt 4.01KB
4. Reviewing dependencies installed in Virtual Environment.mp4 16.12MB
4. Reviewing dependencies installed in Virtual Environment.srt 4.02KB
4. Row Level Transformations.mp4 85.19MB
4. Row Level Transformations.srt 21.26KB
4. Row Level Transformations using map.mp4 70.09MB
4. Row Level Transformations using map.srt 16.61KB
4. Setup Database Client Libraries.mp4 58.59MB
4. Setup Database Client Libraries.srt 14.32KB
4. Setup Docker on Windows 10 Pro.mp4 46.13MB
4. Setup Docker on Windows 10 Pro.srt 10.75KB
4. Setup Getting Started Project using Pycharm.mp4 30.22MB
4. Setup Getting Started Project using Pycharm.srt 9.08KB
4. Setup SQL Workbench.mp4 32.63MB
4. Setup SQL Workbench.srt 6.08KB
4. Special Functions - col and lit.mp4 44.94MB
4. Special Functions - col and lit.srt 9.71KB
4. String Manipulation Functions.mp4 72.99MB
4. String Manipulation Functions.srt 16.44KB
4. Validate myMap Function.mp4 63.52MB
4. Validate myMap Function.srt 15.58KB
5.1 Accessing Elements - dict.html 163B
5.1 Adding Elements to list.html 161B
5.1 Advanced DML Operations.html 157B
5.1 Boolean Operators.html 141B
5.1 Common String Manipulation Functions.html 161B
5.1 Copying files from HDFS local.html 152B
5.1 Create Database and User.html 153B
5.1 Data Frames - Basic Operations.html 158B
5.1 Date Manipulation Functions.html 151B
5.1 Define Schema for Tables using StructType.html 159B
5.1 DML - Data Manipulation Language.html 160B
5.1 Function - Get Database Connection.html 170B
5.1 Function Parameters and Arguments.html 157B
5.1 Getting unique elements.html 161B
5.1 Inserting Data using Stage Table.html 156B
5.1 Loading Data into Tables - Local.html 151B
5.1 Managing Constraints.html 153B
5.1 Operators in Python.html 149B
5.1 Populating Sample Data into users table.html 190B
5.1 Previewing airlines data.html 151B
5.1 Previewing Data using Pandas.html 182B
5.1 Projecting Data.html 140B
5.1 Quick Overview of Docker.html 157B
5.1 Range Partitioning.html 155B
5.1 Read logic using Pandas.html 165B
5.1 Running OS Commands.html 138B
5.1 Selecting or Projecting Data.html 159B
5.1 Setup Docker.html 140B
5.1 SQL Workbench and Postgres.html 147B
5.1 String Manipulation Functions.html 152B
5.1 Updating Data.html 141B
5.1 Using IDEs – Pycharm.html 147B
5.1 Using Inner Join.html 137B
5.1 Using LEAD or LAG.html 140B
5.1 Validate orders table in database.html 183B
5. Accessing Elements - dict.mp4 35.94MB
5. Accessing Elements - dict.srt 8.08KB
5. Adding dependencies to the custom image.mp4 28.83MB
5. Adding dependencies to the custom image.srt 5.04KB
5. Adding elements to list.mp4 16.92MB
5. Adding elements to list.srt 4.08KB
5. Advanced DML Operations.mp4 87.46MB
5. Advanced DML Operations.srt 18.57KB
5. Aggregations using reduce.mp4 43.16MB
5. Aggregations using reduce.srt 9.79KB
5. Batch Loading of Data.mp4 64.83MB
5. Batch Loading of Data.srt 15.11KB
5. Boolean Operators.mp4 65.07MB
5. Boolean Operators.srt 16.40KB
5. Common String Manipulation Functions.mp4 26.97MB
5. Common String Manipulation Functions.srt 6.38KB
5. Configure Hadoop HDFS.mp4 47.35MB
5. Configure Hadoop HDFS.srt 10.79KB
5. Connecting to Postgres using SQL Workbench.mp4 39.23MB
5. Connecting to Postgres using SQL Workbench.srt 8.70KB
5. Convert REST Payload to Python Objects.mp4 53.70MB
5. Convert REST Payload to Python Objects.srt 7.98KB
5. Copying files from HDFS to local.mp4 40.85MB
5. Copying files from HDFS to local.srt 8.56KB
5. Create Database and User.mp4 40.32MB
5. Create Database and User.srt 8.03KB
5. Data Frames - Basic Operations.mp4 91.93MB
5. Data Frames - Basic Operations.srt 26.20KB
5. Date Manipulation Functions.mp4 107.77MB
5. Date Manipulation Functions.srt 23.00KB
5. Define Schema for Tables using StructType.mp4 48.24MB
5. Define Schema for Tables using StructType.srt 10.45KB
5. Develop myReduce Function.mp4 21.10MB
5. Develop myReduce Function.srt 6.91KB
5. DML - Data Manipulation Language.mp4 41.93MB
5. DML - Data Manipulation Language.srt 7.35KB
5. Function Get Database Connection.mp4 20.97MB
5. Function Get Database Connection.srt 5.26KB
5. Function Parameters and Arguments.mp4 56.47MB
5. Function Parameters and Arguments.srt 9.27KB
5. Getting Unique Elements.mp4 64.73MB
5. Getting Unique Elements.srt 16.69KB
5. Inserting Data using Stage Table.mp4 36.36MB
5. Inserting Data using Stage Table.srt 6.49KB
5. Installing Dependencies for Web Application using pip.mp4 45.57MB
5. Installing Dependencies for Web Application using pip.srt 10.08KB
5. Launch and Validate Hive.mp4 36.08MB
5. Launch and Validate Hive.srt 7.82KB
5. Loading Data Into Tables - Local.mp4 27.56MB
5. Loading Data Into Tables - Local.srt 6.61KB
5. Managing Constraints.mp4 88.88MB
5. Managing Constraints.srt 15.79KB
5. Operators in Python.mp4 13.19MB
5. Operators in Python.srt 4.42KB
5. Overview of EC2 related to Cloud9.mp4 10.37MB
5. Overview of EC2 related to Cloud9.srt 2.53KB
5. Overview of Retail Data.mp4 35.72MB
5. Overview of Retail Data.srt 8.11KB
5. Passing Run Time Arguments.mp4 29.92MB
5. Passing Run Time Arguments.srt 8.48KB
5. Populating Sample Data into users table.mp4 15.38MB
5. Populating Sample Data into users table.srt 3.76KB
5. Previewing Airlines Data.mp4 44.04MB
5. Previewing Airlines Data.srt 9.78KB
5. Previewing Data using Pandas.mp4 48.66MB
5. Previewing Data using Pandas.srt 14.49KB
5. Process JSON String.mp4 104.42MB
5. Process JSON String.srt 21.10KB
5. Projecting Data.mp4 30.08MB
5. Projecting Data.srt 5.70KB
5. Quick Overview of Docker.mp4 115.68MB
5. Quick Overview of Docker.srt 19.80KB
5. Quick recap about Docker containers.mp4 27.74MB
5. Quick recap about Docker containers.srt 7.39KB
5. Range Partitioning.mp4 18.90MB
5. Range Partitioning.srt 3.78KB
5. Read logic using Pandas.mp4 65.73MB
5. Read logic using Pandas.srt 12.00KB
5. Running OS Commands using Spark SQL.mp4 24.13MB
5. Running OS Commands using Spark SQL.srt 4.88KB
5. Selecting or Projecting Data.mp4 33.33MB
5. Selecting or Projecting Data.srt 6.20KB
5. Setup Apache2 on Ubuntu.mp4 41.46MB
5. Setup Apache2 on Ubuntu.srt 10.06KB
5. Setup Data Set for Validation.mp4 24.48MB
5. Setup Data Set for Validation.srt 3.36KB
5. Setup Docker.mp4 74.50MB
5. Setup Docker.srt 12.21KB
5. Setup Getting Started Project using Pycharm on Mac.mp4 12.80MB
5. Setup Getting Started Project using Pycharm on Mac.srt 5.88KB
5. String Manipulation Functions.mp4 47.86MB
5. String Manipulation Functions.srt 11.71KB
5. Training Approach.mp4 36.72MB
5. Training Approach.srt 7.69KB
5. Updating Data.mp4 43.48MB
5. Updating Data.srt 7.83KB
5. Using IDEs - Pycharm.mp4 42.97MB
5. Using IDEs - Pycharm.srt 14.77KB
5. Using Inner Joins.mp4 52.81MB
5. Using Inner Joins.srt 12.43KB
5. Using LEAD or LAG.mp4 89.47MB
5. Using LEAD or LAG.srt 14.83KB
5. Using position or strpos.mp4 33.59MB
5. Using position or strpos.srt 6.74KB
5. Validate orders table in database.mp4 26.08MB
5. Validate orders table in database.srt 5.92KB
5. Write Delimited Strings into files.mp4 72.05MB
5. Write Delimited Strings into files.srt 15.76KB
6.1 Creating Database Table.html 161B
6.1 Creating Partitioned Tables.html 151B
6.1 CSV to Pandas Data Frame.html 154B
6.1 Deleting Data.html 141B
6.1 DQL - Data Query Language.html 153B
6.1 Execute SQL Scripts.html 149B
6.1 Extracting Strings using substring.html 159B
6.1 Filtering Data.html 152B
6.1 Filtering Data.html 139B
6.1 Filtering Data.html 145B
6.1 Formatting Strings.html 141B
6.1 Getting Files Metadata.html 141B
6.1 Getting first and last values.html 152B
6.1 Indexes on Tables.html 150B
6.1 Inserting into Existing Tables.html 148B
6.1 Left or Right Outer Join.html 144B
6.1 Loading Data into Tables - HDFS.html 150B
6.1 Managing Partitions - Range.html 162B
6.1 Manipulating dict.html 157B
6.1 Merging or Upserting Data.html 159B
6.1 Overview of Data Frame APIs.html 153B
6.1 Overview of Numeric Functions.html 153B
6.1 Overview of Visual Studio Code.html 159B
6.1 Prepare Dataset.html 148B
6.1 Reading data from table using Pandas.html 187B
6.1 Reading Data in Chunks using Pandas.html 189B
6.1 SQL Workbench Features.html 143B
6.1 Understanding Warehouse Directory.html 152B
6.1 Using IN Operator or isin Function.html 158B
6.1 Validate orders table using Pandas.html 184B
6.1 Validating Python.html 145B
6.1 Varying Arguments.html 141B
6. Accessing OS Environment Variables.mp4 23.90MB
6. Accessing OS Environment Variables.srt 6.54KB
6. Best Practices Batch Loading.mp4 10.41MB
6. Best Practices Batch Loading.srt 3.71KB
6. Create Database Table.mp4 44.60MB
6. Create Database Table.srt 10.78KB
6. Creating Partitioned Tables.mp4 21.08MB
6. Creating Partitioned Tables.srt 4.76KB
6. CSV to Pandas Data Frames.mp4 49.00MB
6. CSV to Pandas Data Frames.srt 9.95KB
6. Deleting Data.mp4 19.24MB
6. Deleting Data.srt 4.29KB
6. Deploying application and installing dependencies in the docker container.mp4 62.48MB
6. Deploying application and installing dependencies in the docker container.srt 9.29KB
6. DQL - Data Query Language.mp4 31.35MB
6. DQL - Data Query Language.srt 6.35KB
6. Execute SQL Scripts.mp4 49.67MB
6. Execute SQL Scripts.srt 9.07KB
6. Extracting Strings using substring.mp4 54.54MB
6. Extracting Strings using substring.srt 13.34KB
6. Filtering Data.mp4 85.42MB
6. Filtering Data.mp4 69.94MB
6. Filtering Data.mp4 117.92MB
6. Filtering Data.srt 17.11KB
6. Filtering Data.srt 15.36KB
6. Filtering Data.srt 19.72KB
6. Formatting Strings.mp4 28.20MB
6. Formatting Strings.srt 6.77KB
6. Get Revenue for a given product id.mp4 46.66MB
6. Get Revenue for a given product id.srt 14.03KB
6. Getting Details about installed packages using pip.mp4 17.10MB
6. Getting Details about installed packages using pip.srt 4.04KB
6. Getting Files Metadata.mp4 66.85MB
6. Getting Files Metadata.srt 11.75KB
6. Getting first and last values.mp4 63.77MB
6. Getting first and last values.srt 10.39KB
6. Indexes on Tables.mp4 74.10MB
6. Indexes on Tables.srt 13.71KB
6. Inserting into Existing Tables.mp4 48.93MB
6. Inserting into Existing Tables.srt 9.94KB
6. Left or Right Outer Join.mp4 72.37MB
6. Left or Right Outer Join.srt 16.05KB
6. Loading Data Into Tables - HDFS.mp4 43.57MB
6. Loading Data Into Tables - HDFS.srt 8.30KB
6. Managing Partitions - Range.mp4 46.12MB
6. Managing Partitions - Range.srt 8.09KB
6. Manipulating dict.mp4 65.54MB
6. Manipulating dict.srt 15.90KB
6. Merging or Upserting Data.mp4 55.67MB
6. Merging or Upserting Data.srt 12.24KB
6. Opening ports for Cloud9 Instance.mp4 22.70MB
6. Opening ports for Cloud9 Instance.srt 5.05KB
6. Overview of CSV Module.mp4 51.34MB
6. Overview of CSV Module.srt 13.05KB
6. Overview of Data Frame APIs.mp4 51.84MB
6. Overview of Data Frame APIs.srt 10.62KB
6. Overview of Environments for Hands on Practice (Must Watch).mp4 21.23MB
6. Overview of Environments for Hands on Practice (Must Watch).srt 4.76KB
6. Overview of localhost.mp4 15.94MB
6. Overview of localhost.srt 4.73KB
6. Overview of Numeric Functions.mp4 54.75MB
6. Overview of Numeric Functions.srt 12.83KB
6. Prepare Dataset.mp4 14.28MB
6. Prepare Dataset.srt 3.12KB
6. Process REST Payload using Collection Operations.mp4 131.13MB
6. Process REST Payload using Collection Operations.srt 24.75KB
6. Reading data from table using Pandas.mp4 38.96MB
6. Reading data from table using Pandas.srt 8.21KB
6. Reading Data in Chunks using Pandas.mp4 37.62MB
6. Reading Data in Chunks using Pandas.srt 11.58KB
6. Read text file into string.mp4 33.53MB
6. Read text file into string.srt 7.34KB
6. Scripts to Manage Single Node Cluster.mp4 22.37MB
6. Scripts to Manage Single Node Cluster.srt 7.57KB
6. Setup de-demo project using Pycharm.mp4 15.40MB
6. Setup de-demo project using Pycharm.srt 5.52KB
6. Setup Network and Database Folder for Database using Docker.mp4 30.84MB
6. Setup Network and Database Folder for Database using Docker.srt 5.96KB
6. Single JSON Document in Files.mp4 91.04MB
6. Single JSON Document in Files.srt 16.63KB
6. SQL Workbench Features.mp4 50.59MB
6. SQL Workbench Features.srt 12.29KB
6. Start and Validate HDFS.mp4 46.12MB
6. Start and Validate HDFS.srt 9.80KB
6. Tasks - Data Types and Operators.mp4 37.95MB
6. Tasks - Data Types and Operators.srt 10.71KB
6. Trimming and Padding Functions.mp4 36.00MB
6. Trimming and Padding Functions.srt 7.61KB
6. Understanding docker custom image build process.mp4 28.21MB
6. Understanding docker custom image build process.srt 4.54KB
6. Understanding Warehouse Directory.mp4 30.41MB
6. Understanding Warehouse Directory.srt 5.47KB
6. Updating and Deleting elements -list.mp4 13.88MB
6. Updating and Deleting elements -list.srt 3.44KB
6. Using IN Operator or isin Function.mp4 35.27MB
6. Using IN Operator or isin Function.srt 9.14KB
6. Using Visual Studio Code.mp4 30.52MB
6. Using Visual Studio Code.srt 10.00KB
6. Validate myReduce Function.mp4 30.23MB
6. Validate myReduce Function.srt 8.41KB
6. Validate orders table using pandas.mp4 33.35MB
6. Validate orders table using pandas.srt 7.88KB
6. Validate read logic.mp4 53.43MB
6. Validate read logic.srt 9.17KB
6. Validating Python.mp4 34.31MB
6. Validating Python.srt 5.83KB
6. Varying Arguments.mp4 41.40MB
6. Varying Arguments.srt 6.55KB
7.1 Adding Partitions to Tables.html 151B
7.1 Common Examples - dict.html 160B
7.1 Conditionals.html 142B
7.1 CRUD Operations - DML and DQL.html 157B
7.1 data-engineering-essentials.zip 5.62MB
7.1 Data Loading Utilities.html 143B
7.1 Data Type Conversion.html 144B
7.1 Dynamically read files using os.html 176B
7.1 Extracting Strings using split.html 155B
7.1 Indexes for Constraints.html 156B
7.1 Inserting Data into Table.html 163B
7.1 Joining Tables - Inner.html 145B
7.1 Joining Tables – Inner.html 151B
7.1 Keyword Arguments.html 141B
7.1 Loading Data - Append and Overwrite.html 154B
7.1 Managing Spark Metastore Databases.html 153B
7.1 Other list operations.html 159B
7.1 Overview of Functions.html 148B
7.1 Overview of Transactions.html 152B
7.1 Pivoting Rows into Columns.html 160B
7.1 Preparing Data Sets.html 157B
7.1 Previewing Data in HDFS Files.html 149B
7.1 Print and Input Functions.html 148B
7.1 Projecting and Filtering.html 154B
7.1 Ranking using Windowing Functions.html 156B
7.1 Read and Process data from Metastore Tables.html 161B
7.1 Repartitioning - Range.html 157B
7.1 Setup Jupyter Lab.html 145B
7.1 Setup Postgres Database.html 156B
7.1 Solutions - Problem 1.html 139B
7.1 Truncate users table.html 171B
7.1 Using ITVersity Labs.html 149B
7.1 Using LIKE Operator or like Function.html 155B
7. Accessing Setting in Pycharm and Changing Font Size.mp4 9.01MB
7. Accessing Setting in Pycharm and Changing Font Size.srt 2.94KB
7. Adding Partitions to Tables.mp4 27.34MB
7. Adding Partitions to Tables.srt 5.69KB
7. Associating Elastic IPs to Cloud9 Instance.mp4 36.23MB
7. Associating Elastic IPs to Cloud9 Instance.srt 6.61KB
7. Common Examples - dict.mp4 36.48MB
7. Common Examples - dict.srt 6.46KB
7. Conditionals.mp4 58.46MB
7. Conditionals.srt 19.00KB
7. Configure Hadoop YARN.mp4 7.72MB
7. Configure Hadoop YARN.srt 1.91KB
7. Copy source data files into container.mp4 22.47MB
7. Copy source data files into container.srt 3.32KB
7. Create Postgres Container.mp4 68.61MB
7. Create Postgres Container.srt 16.48KB
7. CRUD Operations - DML and DQL.mp4 13.58MB
7. CRUD Operations - DML and DQL.srt 3.28KB
7. Data Loading Utilities.mp4 53.08MB
7. Data Loading Utilities.srt 11.26KB
7. Data Type Conversion.mp4 24.63MB
7. Data Type Conversion.srt 6.11KB
7. Develop myReduceByKey Function.mp4 25.71MB
7. Develop myReduceByKey Function.srt 9.59KB
7. Download and Install Spark 2.mp4 25.36MB
7. Download and Install Spark 2.srt 5.44KB
7. Dynamically read files using os.mp4 28.43MB
7. Dynamically read files using os.srt 8.92KB
7. Extracting Strings using split.mp4 49.68MB
7. Extracting Strings using split.srt 11.53KB
7. Free Download - Course Material.html 2.16KB
7. Getting Started with Spark.mp4 18.75MB
7. Getting Started with Spark.srt 3.86KB
7. Get total items sold and revenue for a product.mp4 32.05MB
7. Get total items sold and revenue for a product.srt 10.21KB
7. Indexes for Constraints.mp4 44.04MB
7. Indexes for Constraints.srt 8.29KB
7. Inserting Data into Table.mp4 85.14MB
7. Inserting Data into Table.srt 18.98KB
7. Joining Tables - Inner.mp4 52.84MB
7. Joining Tables - Inner.mp4 53.73MB
7. Joining Tables - Inner.srt 10.89KB
7. Joining Tables - Inner.srt 10.43KB
7. Keyword Arguments.mp4 17.28MB
7. Keyword Arguments.srt 2.90KB
7. Loading Data - Append and Overwrite.mp4 17.95MB
7. Loading Data - Append and Overwrite.srt 3.82KB
7. Managing Spark Metastore Databases.mp4 65.63MB
7. Managing Spark Metastore Databases.srt 14.00KB
7. Mounting Data Folders on to Docker Container.mp4 34.69MB
7. Mounting Data Folders on to Docker Container.srt 6.65KB
7. Multiple JSON Documents in files.mp4 55.67MB
7. Multiple JSON Documents in files.srt 10.73KB
7. Other list operations.mp4 15.19MB
7. Other list operations.srt 3.50KB
7. Overview of Functions.mp4 36.10MB
7. Overview of Functions.srt 7.43KB
7. Overview of Private IP Address associated with a server.mp4 30.25MB
7. Overview of Private IP Address associated with a server.srt 5.63KB
7. Overview of Transactions.mp4 14.33MB
7. Overview of Transactions.srt 3.20KB
7. Pivoting Rows into Columns.mp4 8.07MB
7. Pivoting Rows into Columns.srt 1.86KB
7. Preparing Data Sets.mp4 37.58MB
7. Preparing Data Sets.srt 7.39KB
7. Previewing Data in HDFS Files.mp4 36.65MB
7. Previewing Data in HDFS Files.srt 9.48KB
7. Print and Input Functions.mp4 34.00MB
7. Print and Input Functions.srt 7.33KB
7. Process REST Payload using Pandas.mp4 69.91MB
7. Process REST Payload using Pandas.srt 16.43KB
7. Projecting and Filtering.mp4 76.41MB
7. Projecting and Filtering.srt 15.78KB
7. Ranking using Windowing Functions.mp4 78.13MB
7. Ranking using Windowing Functions.srt 16.34KB
7. Read and Process data from Metastore Tables.mp4 37.85MB
7. Read and Process data from Metastore Tables.srt 9.01KB
7. Read Delimited data using CSV.mp4 82.96MB
7. Read Delimited data using CSV.srt 17.85KB
7. Repartitioning - Range.mp4 73.35MB
7. Repartitioning - Range.srt 12.66KB
7. Reverse and Concatenate Multiple Strings.mp4 19.88MB
7. Reverse and Concatenate Multiple Strings.srt 4.43KB
7. Setup Docker Container for the Database.mp4 66.10MB
7. Setup Docker Container for the Database.srt 9.86KB
7. Setup Jupyter Lab.mp4 78.91MB
7. Setup Jupyter Lab.srt 16.14KB
7. Setup SQL Workbench.mp4 32.63MB
7. Setup SQL Workbench.srt 6.08KB
7. Solution - Get Flight Count Per US Airport.mp4 27.19MB
7. Solution - Get Flight Count Per US Airport.srt 6.83KB
7. Truncate users table.mp4 16.10MB
7. Truncate users table.srt 4.15KB
7. Uninstall Packages using pip.mp4 27.07MB
7. Uninstall Packages using pip.srt 4.96KB
7. Using ITVersity Labs.mp4 41.07MB
7. Using ITVersity Labs.srt 12.00KB
7. Using LIKE Operator or like Function.mp4 32.65MB
7. Using LIKE Operator or like Function.srt 8.44KB
7. Write logic using Pandas.mp4 54.73MB
7. Write logic using Pandas.srt 10.38KB
7. Write string to text file.mp4 37.38MB
7. Write string to text file.srt 7.97KB
8. [Must Watch] Setting up Course Material.mp4 58.35MB
8. [Must Watch] Setting up Course Material.srt 11.97KB
8.1 Adding and Deleting elements - set.html 170B
8.1 All about for Loops.html 149B
8.1 Creating External Tables.html 145B
8.1 Creating Partitioned Tables.html 145B
8.1 Date Manipulation Functions.html 150B
8.1 Exercises - Database Operations.html 157B
8.1 Handling NULL Values.html 144B
8.1 Hash Partitioning.html 154B
8.1 HDFS Block Size.html 134B
8.1 Joining Tables - Outer.html 145B
8.1 Joining Tables - Outer.html 151B
8.1 Leveraging Google’s Colab.html 153B
8.1 List of tuples.html 154B
8.1 Loading Data - Docker.html 152B
8.1 Loading into Partitions.html 152B
8.1 Managing Spark Metastore Tables.html 150B
8.1 Order of execution of SQL.html 148B
8.1 Overview of Analytic Functions.html 164B
8.1 Overview of Sequences.html 154B
8.1 Overview of Spark Write APIs.html 155B
8.1 Padding Characters around Strings.html 158B
8.1 Performing Total Aggregations.html 159B
8.1 Quick Recap of Dict Operations.html 168B
8.1 Recap of User Defined Functions.html 155B
8.1 Setup Postgres Database.html 156B
8.1 Solutions - Problem 2.html 139B
8.1 TCL - Transaction Control Language.html 162B
8.1 Update Existing Table Data.html 166B
8.1 Using BETWEEN Operator.html 146B
8.1 Writing Pandas Dataframe to table.html 184B
8. Accessing Setting in Pycharm and Changing Font Size on Mac.mp4 13.89MB
8. Accessing Setting in Pycharm and Changing Font Size on Mac.srt 4.02KB
8. Add Data Copier container to custom network.mp4 26.94MB
8. Add Data Copier container to custom network.srt 4.68KB
8. Adding and Deleting elements - set.mp4 27.01MB
8. Adding and Deleting elements - set.srt 6.28KB
8. All about for loops.mp4 81.98MB
8. All about for loops.srt 25.33KB
8. Cleanup Python Virtual Environment.mp4 14.50MB
8. Cleanup Python Virtual Environment.srt 2.44KB
8. Configure Spark 2.mp4 66.77MB
8. Configure Spark 2.srt 13.36KB
8. Create Function for Spark Session.mp4 41.27MB
8. Create Function for Spark Session.srt 7.92KB
8. Create Partitioned Tables.mp4 63.03MB
8. Create Partitioned Tables.srt 14.22KB
8. Creating External Tables.mp4 25.06MB
8. Creating External Tables.srt 4.69KB
8. Date Manipulation Functions.mp4 76.62MB
8. Date Manipulation Functions.srt 16.82KB
8. Dealing with Nulls.mp4 48.64MB
8. Dealing with Nulls.srt 11.50KB
8. Download Postgres Driver.mp4 39.28MB
8. Download Postgres Driver.srt 8.70KB
8. Exercise - Database Operations.mp4 46.08MB
8. Exercise - Database Operations.srt 6.99KB
8. Get total commission amount.mp4 37.68MB
8. Get total commission amount.srt 11.42KB
8. Hash Partitioning.mp4 26.63MB
8. Hash Partitioning.srt 6.08KB
8. HDFS Block Size.mp4 40.64MB
8. HDFS Block Size.srt 7.45KB
8. Increase EBS Volume Size of Cloud9 Instance.mp4 21.15MB
8. Increase EBS Volume Size of Cloud9 Instance.srt 5.51KB
8. Joining Tables - Outer.mp4 56.20MB
8. Joining Tables - Outer.mp4 56.18MB
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8. Joining Tables - Outer.srt 10.78KB
8. Leveraging Google Colab.mp4 85.66MB
8. Leveraging Google Colab.srt 23.04KB
8. List of Tuples.mp4 77.99MB
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8. Loading Data - Docker.mp4 66.17MB
8. Loading Data - Docker.srt 12.48KB
8. Loading Data into Partitioned Tables.mp4 64.81MB
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8. Managing Spark Metastore Tables.mp4 17.51MB
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8. Order of execution of SQL.cmproj.mp4 47.38MB
8. Order of execution of SQL.cmproj.srt 9.46KB
8. Overview of Analytic Functions.mp4 38.17MB
8. Overview of Analytic Functions.srt 7.34KB
8. Overview of modes to write into files.mp4 49.72MB
8. Overview of modes to write into files.srt 13.11KB
8. Overview of Public IP Address associated with a server.mp4 38.06MB
8. Overview of Public IP Address associated with a server.srt 7.43KB
8. Overview of Sequences.mp4 107.76MB
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8. Overview of Spark Write APIs.mp4 79.91MB
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8. Padding Characters around Strings.mp4 36.95MB
8. Padding Characters around Strings.srt 8.36KB
8. Passing Environment Variables to Docker Container.mp4 68.38MB
8. Passing Environment Variables to Docker Container.srt 9.94KB
8. Performing Total Aggregations.mp4 80.10MB
8. Performing Total Aggregations.srt 20.05KB
8. Process JSON using Pandas.mp4 58.30MB
8. Process JSON using Pandas.srt 9.14KB
8. Quick recap of dict operations.mp4 39.07MB
8. Quick recap of dict operations.srt 8.09KB
8. Recap of User Defined Functions.mp4 91.95MB
8. Recap of User Defined Functions.srt 15.96KB
8. Setup Database and Tables as part of Docker based Database Server.mp4 37.38MB
8. Setup Database and Tables as part of Docker based Database Server.srt 6.29KB
8. Setup Postgres Database for development.mp4 52.40MB
8. Setup Postgres Database for development.srt 9.38KB
8. Solution - Get Flight Count Per US State.mp4 16.98MB
8. Solution - Get Flight Count Per US State.srt 4.35KB
8. Start and Validate YARN.mp4 14.29MB
8. Start and Validate YARN.srt 3.09KB
8. String Replacement.mp4 45.57MB
8. String Replacement.srt 10.01KB
8. TCL - Transaction Control Language.mp4 8.55MB
8. TCL - Transaction Control Language.srt 1.90KB
8. Updating Existing Table Data.mp4 20.03MB
8. Updating Existing Table Data.srt 5.97KB
8. Using BETWEEN Operator.mp4 31.58MB
8. Using BETWEEN Operator.srt 8.47KB
8. Validate myReduceByKey Function.mp4 60.70MB
8. Validate myReduceByKey Function.srt 20.12KB
8. Validate write logic.mp4 60.64MB
8. Validate write logic.srt 11.49KB
8. Writing iterables to files using csv.mp4 58.08MB
8. Writing iterables to files using csv.srt 14.05KB
8. Writing Pandas Dataframe to table.mp4 67.06MB
8. Writing Pandas Dataframe to table.srt 12.83KB
9. [Code and Instructions] - Create Function for Spark Session.html 1.18KB
9.1 Aggregating Data.html 141B
9.1 airtrafficdata.zip 29.36MB
9.1 Analytic Functions – Aggregations.html 165B
9.1 Date Manipulation Functions.html 153B
9.1 Dealing with Nulls while Filtering.html 158B
9.1 Deleting Data from Table.html 162B
9.1 Example - Data Engineering.html 154B
9.1 HDFS Replication Factor.html 143B
9.1 Inserting Data into Partitions.html 154B
9.1 List of dicts.html 153B
9.1 Managed Tables vs. External Tables.html 147B
9.1 Managing Partitions - Hash.html 161B
9.1 Overview of Postgres Commands.html 153B
9.1 Overview of Sub Queries.html 146B
9.1 Passing Functions as Arguments.html 154B
9.1 Performing Aggregations.html 154B
9.1 Performing Grouped Aggregations.html 161B
9.1 Performing Total Aggregations.html 167B
9.1 Retrieve Metadata of Tables.html 146B
9.1 Running OS Commands.html 149B
9.1 Saving as Partitioned Tables.html 146B
9.1 Solutions - Problem 3.html 139B
9.1 SQL Workbench and Postgres.html 155B
9.1 Trimming Characters from Strings.html 157B
9.1 Truncating Tables.html 150B
9.1 Typical set operations.html 160B
9.1 Using CASE and WHEN.html 143B
9.1 Validating users data.html 172B
9. Add Data Copier Container to custom network.mp4 42.45MB
9. Add Data Copier Container to custom network.srt 6.52KB
9. Advantages of using csv module.mp4 10.12MB
9. Advantages of using csv module.srt 2.41KB
9. Aggregation Data.mp4 81.30MB
9. Aggregation Data.srt 15.97KB
9. Analytic Functions - Aggregations.mp4 66.35MB
9. Analytic Functions - Aggregations.srt 13.26KB
9. Building Custom Docker Image for application.mp4 34.42MB
9. Building Custom Docker Image for application.srt 5.30KB
9. Connecting to Postgres using SQL Workbench.mp4 78.35MB
9. Connecting to Postgres using SQL Workbench.srt 17.10KB
9. Date Manipulation Functions.mp4 12.15MB
9. Date Manipulation Functions.srt 2.96KB
9. Dealing with Nulls while Filtering.mp4 41.15MB
9. Dealing with Nulls while Filtering.srt 8.65KB
9. Deleting Data From Table.mp4 14.74MB
9. Deleting Data From Table.srt 4.37KB
9. Develop myJoin Function.mp4 29.12MB
9. Develop myJoin Function.srt 10.50KB
9. Different JSON Formats supported by Pandas.mp4 79.88MB
9. Different JSON Formats supported by Pandas.srt 11.54KB
9. Example - Data Engineering.mp4 49.26MB
9. Example - Data Engineering.srt 8.91KB
9. Exercises - Predefined Functions in Python.mp4 11.40MB
9. Exercises - Predefined Functions in Python.srt 3.69KB
9. HDFS Replication Factor.mp4 57.52MB
9. HDFS Replication Factor.srt 11.39KB
9. How to access data sets used in this course.html 812B
9. Inserting Data into Partitions.mp4 23.21MB
9. Inserting Data into Partitions.srt 4.70KB
9. Installing OS libraries as part of Docker container.mp4 15.34MB
9. Installing OS libraries as part of Docker container.srt 4.27KB
9. Install Python Packages using Pycharm.mp4 13.58MB
9. Install Python Packages using Pycharm.srt 5.16KB
9. Integrate read and write logic.mp4 36.37MB
9. Integrate read and write logic.srt 6.42KB
9. List of dicts.mp4 59.82MB
9. List of dicts.srt 11.58KB
9. Managed Tables vs External Tables.mp4 39.08MB
9. Managed Tables vs External Tables.srt 6.47KB
9. Managing Partitions - Hash.mp4 46.43MB
9. Managing Partitions - Hash.srt 9.30KB
9. Managing Single Node Hadoop.mp4 20.23MB
9. Managing Single Node Hadoop.srt 6.68KB
9. Overview of Delimited Strings.mp4 27.13MB
9. Overview of Delimited Strings.srt 6.90KB
9. Overview of itertools.mp4 30.78MB
9. Overview of itertools.srt 7.68KB
9. Overview of Postgres Database Commands.mp4 62.02MB
9. Overview of Postgres Database Commands.srt 16.07KB
9. Overview of Subqueries.mp4 23.66MB
9. Overview of Subqueries.srt 6.02KB
9. Passing Functions as Arguments.mp4 35.79MB
9. Passing Functions as Arguments.srt 9.34KB
9. Performing Aggregations.mp4 94.99MB
9. Performing Aggregations.srt 17.02KB
9. Performing Grouped Aggregations.mp4 76.57MB
9. Performing Grouped Aggregations.srt 17.74KB
9. Performing Total Aggregations.mp4 96.86MB
9. Performing Total Aggregations.srt 23.29KB
9. Recreate and Activate Virtual Environment for Web Application.mp4 6.60MB
9. Recreate and Activate Virtual Environment for Web Application.srt 3.79KB
9. Retrieve Metadata of Tables.mp4 15.25MB
9. Retrieve Metadata of Tables.srt 3.27KB
9. Running os commands.mp4 75.11MB
9. Running os commands.srt 15.18KB
9. Saving as Partitioned Table.mp4 36.01MB
9. Saving as Partitioned Table.srt 7.89KB
9. Setup Jupyter Lab on Cloud9.mp4 47.58MB
9. Setup Jupyter Lab on Cloud9.srt 11.07KB
9. Setup Web Application and access using local ip.mp4 42.18MB
9. Setup Web Application and access using local ip.srt 7.62KB
9. Solution - Get Dormant US Airports.mp4 23.31MB
9. Solution - Get Dormant US Airports.srt 5.55KB
9. Trimming Characters from Strings.mp4 33.26MB
9. Trimming Characters from Strings.srt 8.03KB
9. Truncating Tables.mp4 54.82MB
9. Truncating Tables.srt 9.74KB
9. Typical set operations.mp4 11.00MB
9. Typical set operations.srt 2.92KB
9. Using CASE and WHEN.mp4 61.39MB
9. Using CASE and WHEN.srt 10.39KB
9. Validate Spark 2 using CLIs.mp4 66.22MB
9. Validate Spark 2 using CLIs.srt 12.52KB
9. Validating users data.mp4 15.22MB
9. Validating users data.srt 3.45KB
Distribution statistics by country
India (IN) 3
France (FR) 1
Ethiopia (ET) 1
Indonesia (ID) 1
Pakistan (PK) 1
Russia (RU) 1
China (CN) 1
South Africa (ZA) 1
Total 10
IP List List of IP addresses which were distributed this torrent