Общая информация
Название [LinkedIn Learning] Master Data Engineering - Complete 7 Courses
Тип
Размер 2.83Гб

Файлы в торренте
Обратите внимание, что наш сайт не размещает какие-либо файлы из списка. Вы не можете скачать эти файлы или скачать torrent-файл.
0. Join Our Discord for More Awesome Stuff!.txt 156б
1. Access control.mp4 6.97Мб
1. Access control.srt 7.10Кб
1. Advanced Snowflake.mp4 6.16Мб
1. Advanced Snowflake.srt 6.63Кб
1. Advertising analytics Define the problem.mp4 4.29Мб
1. Advertising analytics Define the problem.srt 3.83Кб
1. Advertising Testing SQL.mp4 6.40Мб
1. Advertising Testing SQL.srt 5.35Кб
1. A Kafka cluster.mp4 3.15Мб
1. A Kafka cluster.srt 3.49Кб
1. Architecting big data applications.mp4 1.94Мб
1. Architecting big data applications.srt 1.01Кб
1. Audit trail Define the problem.mp4 4.64Мб
1. Audit trail Define the problem.srt 3.75Кб
1. Building robust Kafka applications.mp4 3.43Мб
1. Building robust Kafka applications.srt 1.10Кб
1. Caching, clustering, and search optimization.mp4 8.92Мб
1. Caching, clustering, and search optimization.srt 8.72Кб
1. Capstone project Retail sales analysis.mp4 5.06Мб
1. Capstone project Retail sales analysis.srt 4.40Кб
1. Characteristics of batch processing.mp4 2.94Мб
1. Characteristics of batch processing.srt 2.66Кб
1. Collection overview.mp4 3.78Мб
1. Collection overview.srt 2.86Кб
1. Configuration properties for a multi-broker cluster.mp4 22.28Мб
1. Configuration properties for a multi-broker cluster.srt 11.03Кб
1. Configuring alerts.mp4 8.55Мб
1. Configuring alerts.srt 8.04Кб
1. Construction planning Query complexity.mp4 7.43Мб
1. Construction planning Query complexity.srt 4.72Кб
1. Continuing to architect big data applications.mp4 1.83Мб
1. Continuing to architect big data applications.srt 1012б
1. Crypto cost Materializations.mp4 6.77Мб
1. Crypto cost Materializations.srt 4.95Кб
1. Debugging failed brokers, part 1.mp4 12.04Мб
1. Debugging failed brokers, part 1.srt 7.48Кб
1. End-to-end latency with replication.mp4 15.22Мб
1. End-to-end latency with replication.srt 9.96Кб
1. File IO overview.mp4 4.48Мб
1. File IO overview.srt 2.87Кб
1. How consumer works.mp4 3.27Мб
1. How consumer works.srt 3.55Кб
1. How do you extend your Kafka learning journey.mp4 1.05Мб
1. How do you extend your Kafka learning journey.srt 1.13Кб
1. Introduction.mp4 4.67Мб
1. Introduction.srt 1.39Кб
1. Introduction to NumPy.mp4 6.10Мб
1. Introduction to NumPy.srt 4.08Кб
1. Introduction to pandas.mp4 6.00Мб
1. Introduction to pandas.srt 4.12Кб
1. Introduction to Python and data engineering.mp4 5.39Мб
1. Introduction to Python and data engineering.srt 4.09Кб
1. Kafka applications use case Problem definition.mp4 2.11Мб
1. Kafka applications use case Problem definition.srt 2.43Кб
1. Kafka cluster setup.mp4 9.09Мб
1. Kafka cluster setup.srt 7.21Кб
1. Loading and querying parquet data.mp4 12.20Мб
1. Loading and querying parquet data.srt 9.23Кб
1. Looking ahead.mp4 6.84Мб
1. Looking ahead.srt 2.88Кб
1. Making the choice Real-time vs. batch.mp4 6.36Мб
1. Making the choice Real-time vs. batch.srt 5.49Кб
1. Managing partition counts.mp4 3.47Мб
1. Managing partition counts.srt 4.31Кб
1. Micropartitioning and clustering.mp4 7.25Мб
1. Micropartitioning and clustering.srt 8.61Кб
1. Next steps.mp4 1.27Мб
1. Next steps.srt 1.28Кб
1. Non-materialized, materialized, and secure views.mp4 5.50Мб
1. Non-materialized, materialized, and secure views.srt 6.42Кб
1. Observing message production and consumption.mp4 8.23Мб
1. Observing message production and consumption.srt 8.49Кб
1. Overview of troubleshooting and debugging Kafka.mp4 6.28Мб
1. Overview of troubleshooting and debugging Kafka.srt 6.55Кб
1. Prerequisites.mp4 1.33Мб
1. Prerequisites.mp4 1.51Мб
1. Prerequisites.srt 1.53Кб
1. Prerequisites.srt 1.89Кб
1. Producer internals.mp4 3.35Мб
1. Producer internals.srt 4.11Кб
1. Producer performance testing using Python.mp4 8.78Мб
1. Producer performance testing using Python.srt 8.29Кб
1. Product recommendations Define the problem.mp4 3.32Мб
1. Product recommendations Define the problem.srt 3.23Кб
1. Programmatically produce messages using Python.mp4 15.11Мб
1. Programmatically produce messages using Python.srt 11.32Кб
1. Running a basic consumer performance test.mp4 11.42Мб
1. Running a basic consumer performance test.srt 7.73Кб
1. Running a Kafka cluster with three brokers.mp4 16.59Мб
1. Running a Kafka cluster with three brokers.srt 9.60Кб
1. Schedule selection.mp4 4.43Мб
1. Schedule selection.srt 4.04Кб
1. SQL as a data engineer.mp4 4.95Мб
1. SQL as a data engineer.srt 4.20Кб
1. Summary and next steps.mp4 3.35Мб
1. Summary and next steps.mp4 1.31Мб
1. Summary and next steps.mp4 2.29Мб
1. Summary and next steps.srt 3.70Кб
1. Summary and next steps.srt 1.64Кб
1. Summary and next steps.srt 2.83Кб
1. Supply chain outage SQL spaghetti.mp4 8.22Мб
1. Supply chain outage SQL spaghetti.srt 5.19Кб
1. Tips to write efficient Python code.mp4 4.82Мб
1. Tips to write efficient Python code.srt 5.04Кб
1. Tuning Kafka.mp4 5.18Мб
1. Tuning Kafka.srt 6.40Кб
1. Understanding classes and objects.mp4 3.25Мб
1. Understanding classes and objects.srt 2.45Кб
1. Understanding ksqlDB.mp4 3.85Мб
1. Understanding ksqlDB.srt 3.72Кб
1. Welcome to the course.mp4 1.18Мб
1. Welcome to the course.srt 921б
1. What is Kafka.mp4 2.60Мб
1. What is Kafka.srt 2.91Кб
10. Error handling.mp4 9.39Мб
10. Error handling.srt 6.65Кб
11. Solution String Manipulation.mp4 2.33Мб
11. Solution String Manipulation.srt 1.83Кб
2. Advertising analytics Study requirements.mp4 4.81Мб
2. Advertising analytics Study requirements.srt 4.53Кб
2. An overview of Apache Kafka.mp4 3.56Мб
2. An overview of Apache Kafka.srt 3.56Кб
2. An overview of Kafka.mp4 9.35Мб
2. An overview of Kafka.srt 9.68Кб
2. Array creation and attributes.mp4 11.00Мб
2. Array creation and attributes.srt 7.39Кб
2. Audit trail Study requirements.mp4 4.93Мб
2. Audit trail Study requirements.srt 5.29Кб
2. Batching message consumption.mp4 3.72Мб
2. Batching message consumption.srt 3.99Кб
2. Challenges building batch applications.mp4 1.81Мб
2. Challenges building batch applications.srt 1.95Кб
2. Common table expressions (CTEs) vs. subqueries.mp4 5.64Мб
2. Common table expressions (CTEs) vs. subqueries.srt 5.71Кб
2. Configuring email settings for alerts.mp4 14.58Мб
2. Configuring email settings for alerts.srt 9.22Кб
2. Consumer perf testing using Python.mp4 6.49Мб
2. Consumer perf testing using Python.srt 5.30Кб
2. Creating and populating tables.mp4 5.83Мб
2. Creating and populating tables.srt 5.99Кб
2. Creating streams and tables using ksqlDB.mp4 13.14Мб
2. Creating streams and tables using ksqlDB.srt 12.64Кб
2. Creating users and viewing grants.mp4 9.46Мб
2. Creating users and viewing grants.srt 8.71Кб
2. Data build tool (dbt).mp4 4.20Мб
2. Data build tool (dbt).srt 4.81Кб
2. Debugging failed brokers, part 2.mp4 10.40Мб
2. Debugging failed brokers, part 2.srt 5.48Кб
2. Horizontal scaling.mp4 6.60Мб
2. Horizontal scaling.srt 6.24Кб
2. Implementation Classes and objects in Python.mp4 7.21Мб
2. Implementation Classes and objects in Python.srt 4.71Кб
2. Kafka controllers.mp4 2.68Мб
2. Kafka controllers.srt 2.79Кб
2. Loading data using COPY INTO.mp4 8.66Мб
2. Loading data using COPY INTO.srt 7.13Кб
2. Loading JSON data.mp4 16.22Мб
2. Loading JSON data.srt 5.51Кб
2. Managing messages.mp4 1.80Мб
2. Managing messages.srt 2.07Кб
2. Materialization terminology.mp4 8.34Мб
2. Materialization terminology.srt 6.15Кб
2. Minimizing data volumes.mp4 4.42Мб
2. Minimizing data volumes.srt 4.27Кб
2. Next steps.mp4 8.32Мб
2. Next steps.srt 3.46Кб
2. Prerequisites for the course.mp4 1.76Мб
2. Prerequisites for the course.srt 2.10Кб
2. Produce messages using the control center.mp4 7.96Мб
2. Produce messages using the control center.srt 6.87Кб
2. Producer publishing options.mp4 4.57Мб
2. Producer publishing options.srt 5.11Кб
2. Product recommendations Study requirements.mp4 4.64Мб
2. Product recommendations Study requirements.srt 4.36Кб
2. Python collections Tuples.mp4 10.00Мб
2. Python collections Tuples.srt 7.31Кб
2. Read files as DataFrames.mp4 13.38Мб
2. Read files as DataFrames.srt 7.66Кб
2. Running a multi-broker cluster on the Confluent platform.mp4 12.56Мб
2. Running a multi-broker cluster on the Confluent platform.srt 5.51Кб
2. Running basic producer performance tests.mp4 15.57Мб
2. Running basic producer performance tests.srt 11.30Кб
2. Running the cluster.mp4 4.31Мб
2. Running the cluster.srt 3.43Кб
2. Setting up topics.mp4 1.02Мб
2. Setting up topics.srt 774б
2. Setting up your Python environment.mp4 5.10Мб
2. Setting up your Python environment.srt 3.72Кб
2. Snowflake architecture.mp4 7.82Мб
2. Snowflake architecture.srt 8.85Кб
2. Solution Capstone project.mp4 38.69Мб
2. Solution Capstone project.srt 21.63Кб
2. The modern data stack and SQL.mp4 5.79Мб
2. The modern data stack and SQL.srt 6.18Кб
2. Troubleshooting partition usage.mp4 11.82Мб
2. Troubleshooting partition usage.srt 6.93Кб
2. Tuning fetch bytes and wait time for consumers.mp4 14.53Мб
2. Tuning fetch bytes and wait time for consumers.srt 11.30Кб
2. Tuning throughput.mp4 15.68Мб
2. Tuning throughput.srt 9.21Кб
2. Types of tables in Snowflake.mp4 6.55Мб
2. Types of tables in Snowflake.srt 8.45Кб
2. Unit testing using dbt.mp4 10.40Мб
2. Unit testing using dbt.srt 7.27Кб
2. What is ETL in the data engineering world.mp4 5.02Мб
2. What is ETL in the data engineering world.srt 4.66Кб
2. What you should know.mp4 1.75Мб
2. What you should know.mp4 2.53Мб
2. What you should know.srt 1.99Кб
2. What you should know.srt 2.35Кб
2. Working with CSV files.mp4 14.62Мб
2. Working with CSV files.srt 7.12Кб
3. Acknowledgments in Kafka.mp4 3.37Мб
3. Acknowledgments in Kafka.srt 3.93Кб
3. Advertising analytics Create a workflow.mp4 2.86Мб
3. Advertising analytics Create a workflow.srt 2.86Кб
3. Array operations.mp4 11.69Мб
3. Array operations.srt 8.85Кб
3. Audit trail Create a workflow.mp4 2.75Мб
3. Audit trail Create a workflow.srt 2.86Кб
3. CoderPad tour.mp4 3.59Мб
3. CoderPad tour.srt 2.75Кб
3. Codespaces introduction.mp4 5.03Мб
3. Codespaces introduction.srt 4.80Кб
3. Committing messages.mp4 3.73Мб
3. Committing messages.srt 4.67Кб
3. Consumer groups.mp4 3.42Мб
3. Consumer groups.srt 3.62Кб
3. Creating and querying views.mp4 6.04Мб
3. Creating and querying views.srt 5.45Кб
3. Creating permanent tables.mp4 7.79Мб
3. Creating permanent tables.srt 7.89Кб
3. Creating topics with replication.mp4 4.76Мб
3. Creating topics with replication.srt 3.72Кб
3. CTEs in dbt.mp4 4.80Мб
3. CTEs in dbt.srt 4.68Кб
3. Custom tests in dbt.mp4 9.88Мб
3. Custom tests in dbt.srt 5.89Кб
3. Data cleaning and preprocessing.mp4 17.84Мб
3. Data cleaning and preprocessing.srt 8.09Кб
3. Debugging slow consumers.mp4 7.15Мб
3. Debugging slow consumers.srt 5.38Кб
3. Distributed processing.mp4 3.48Мб
3. Distributed processing.srt 3.10Кб
3. Effects of partitioning on producers.mp4 13.50Мб
3. Effects of partitioning on producers.srt 11.37Кб
3. Explore a Google Colab worksheet.mp4 7.49Мб
3. Explore a Google Colab worksheet.srt 6.04Кб
3. Getting set up with Snowflake.mp4 3.93Мб
3. Getting set up with Snowflake.srt 3.88Кб
3. Granting privileges to roles.mp4 9.58Мб
3. Granting privileges to roles.srt 7.68Кб
3. Incremental materializations.mp4 4.54Мб
3. Incremental materializations.srt 4.44Кб
3. Kafka scaling and resiliency.mp4 2.52Мб
3. Kafka scaling and resiliency.srt 3.11Кб
3. Managing consumer settings.mp4 1.80Мб
3. Managing consumer settings.srt 2.11Кб
3. Modeling in dbt.mp4 14.43Мб
3. Modeling in dbt.srt 8.34Кб
3. Monitoring brokers.mp4 3.73Мб
3. Monitoring brokers.srt 3.62Кб
3. Performing join and windowing operations.mp4 9.43Мб
3. Performing join and windowing operations.srt 7.55Кб
3. Producers and consumers.mp4 6.03Мб
3. Producers and consumers.srt 6.13Кб
3. Producing data in Java.mp4 3.99Мб
3. Producing data in Java.srt 1.79Кб
3. Product recommendations Create a workflow.mp4 2.13Мб
3. Product recommendations Create a workflow.srt 2.18Кб
3. Python collections Lists.mp4 10.07Мб
3. Python collections Lists.srt 6.45Кб
3. Querying JSON data.mp4 10.19Мб
3. Querying JSON data.srt 7.84Кб
3. Replication.mp4 4.34Мб
3. Replication.srt 4.75Кб
3. Retrieval optimization using cached results.mp4 8.67Мб
3. Retrieval optimization using cached results.srt 7.15Кб
3. Schema design.mp4 5.93Мб
3. Schema design.srt 5.32Кб
3. Technologies for batch big data engineering.mp4 3.42Мб
3. Technologies for batch big data engineering.srt 2.99Кб
3. The Confluent platform.mp4 8.69Мб
3. The Confluent platform.srt 8.15Кб
3. Tuning log retention.mp4 10.51Мб
3. Tuning log retention.srt 5.77Кб
3. Tuning session timeout and heartbeat interval.mp4 7.79Мб
3. Tuning session timeout and heartbeat interval.srt 5.12Кб
3. Understand OOP features Abstraction, inheritance, and more.mp4 4.51Мб
3. Understand OOP features Abstraction, inheritance, and more.srt 3.87Кб
3. Uniform load distribution.mp4 6.13Мб
3. Uniform load distribution.srt 5.66Кб
3. Using datagen to generate synthetic data.mp4 6.22Мб
3. Using datagen to generate synthetic data.srt 6.21Кб
3. What is Hadoop.mp4 3.69Мб
3. What is Hadoop.srt 3.79Кб
3. Working with JSON files.mp4 9.71Мб
3. Working with JSON files.srt 6.59Кб
4. Additional producer parameters.mp4 2.70Мб
4. Additional producer parameters.srt 2.85Кб
4. Advertising analytics Scale the workflow.mp4 4.55Мб
4. Advertising analytics Scale the workflow.srt 4.29Кб
4. Audit trail Scale the workflow.mp4 3.73Мб
4. Audit trail Scale the workflow.srt 3.69Кб
4. Challenge Implementing CTEs.mp4 4.58Мб
4. Challenge Implementing CTEs.srt 3.01Кб
4. Challenge Materializations.mp4 3.98Мб
4. Challenge Materializations.srt 2.55Кб
4. Challenge Schema design.mp4 3.24Мб
4. Challenge Schema design.srt 3.16Кб
4. Challenge Testing SQL.mp4 5.35Мб
4. Challenge Testing SQL.srt 3.34Кб
4. Consuming data in Java.mp4 4.35Мб
4. Consuming data in Java.srt 2.02Кб
4. Creating temporary tables.mp4 9.96Мб
4. Creating temporary tables.srt 9.79Кб
4. Data manipulation and aggregation.mp4 12.65Мб
4. Data manipulation and aggregation.srt 7.11Кб
4. Downloading the Confluent platform binaries.mp4 10.01Мб
4. Downloading the Confluent platform binaries.srt 6.18Кб
4. Effects of replication on producers.mp4 8.87Мб
4. Effects of replication on producers.srt 6.55Кб
4. Enabling clustering on tables.mp4 9.12Мб
4. Enabling clustering on tables.srt 7.86Кб
4. Indexing and slicing.mp4 13.73Мб
4. Indexing and slicing.srt 10.60Кб
4. Java consumer example.mp4 7.38Мб
4. Java consumer example.srt 4.84Кб
4. Kafka clusters in action.mp4 8.99Мб
4. Kafka clusters in action.srt 5.66Кб
4. Kafka optimization theorem.mp4 9.92Мб
4. Kafka optimization theorem.srt 10.67Кб
4. Managing resiliency.mp4 1.94Мб
4. Managing resiliency.srt 2.31Кб
4. Monitoring consumption in a consumer group.mp4 11.01Мб
4. Monitoring consumption in a consumer group.srt 8.98Кб
4. Observing consumers.mp4 12.93Мб
4. Observing consumers.srt 9.05Кб
4. Observing partitions and replication.mp4 4.64Мб
4. Observing partitions and replication.srt 4.28Кб
4. Partition leaders.mp4 5.03Мб
4. Partition leaders.srt 5.83Кб
4. Product recommendations Scale the workflow.mp4 4.70Мб
4. Product recommendations Scale the workflow.srt 4.28Кб
4. Python collections Sets.mp4 8.32Мб
4. Python collections Sets.srt 5.21Кб
4. Recreating views.mp4 3.33Мб
4. Recreating views.srt 3.41Кб
4. Running dbt.mp4 11.06Мб
4. Running dbt.srt 5.64Кб
4. Setting up the exercise files.mp4 3.26Мб
4. Setting up the exercise files.srt 2.64Кб
4. Solution Accessing Object attributes.mp4 4.83Мб
4. Solution Accessing Object attributes.srt 4.03Кб
4. Solution ReadWrite text to file.mp4 4.50Мб
4. Solution ReadWrite text to file.srt 3.46Кб
4. Technology selection.mp4 6.45Мб
4. Technology selection.srt 6.62Кб
4. Tuning max poll interval and max poll records.mp4 9.71Мб
4. Tuning max poll interval and max poll records.srt 5.58Кб
4. Understand PySpark for data engineering.mp4 5.18Мб
4. Understand PySpark for data engineering.srt 4.75Кб
4. Use cases for batch big data.mp4 3.34Мб
4. Use cases for batch big data.srt 3.30Кб
4. Using caches.mp4 3.06Мб
4. Using caches.srt 3.03Кб
4. Variables and data types.mp4 8.29Мб
4. Variables and data types.srt 7.82Кб
4. Viewing streams and tables.mp4 3.01Мб
4. Viewing streams and tables.srt 2.58Кб
5. Advertising analytics Select technologies.mp4 7.33Мб
5. Advertising analytics Select technologies.srt 6.94Кб
5. Architecture process for data engineering.mp4 4.04Мб
5. Architecture process for data engineering.srt 3.31Кб
5. Audit trail Select technologies.mp4 6.91Мб
5. Audit trail Select technologies.srt 6.52Кб
5. Challenge Modeling taxi data.mp4 3.12Мб
5. Challenge Modeling taxi data.srt 2.54Кб
5. Creating transient tables.mp4 9.48Мб
5. Creating transient tables.srt 7.77Кб
5. Data visualization.mp4 11.67Мб
5. Data visualization.srt 6.42Кб
5. Debugging consumption lag.mp4 8.01Мб
5. Debugging consumption lag.srt 5.02Кб
5. End-to-end latency in Kafka.mp4 3.80Мб
5. End-to-end latency in Kafka.srt 4.23Кб
5. Importance of visualization tools in DE.mp4 6.83Мб
5. Importance of visualization tools in DE.srt 4.85Кб
5. Java producer options example.mp4 9.84Мб
5. Java producer options example.srt 5.45Кб
5. Kafka resiliency in action.mp4 9.49Мб
5. Kafka resiliency in action.srt 7.39Кб
5. Linear algebra and statistics.mp4 9.52Мб
5. Linear algebra and statistics.srt 7.48Кб
5. Monitoring broker throughput and latency.mp4 13.30Мб
5. Monitoring broker throughput and latency.srt 10.75Кб
5. Multi-threaded consumers.mp4 9.15Мб
5. Multi-threaded consumers.srt 6.34Кб
5. Operators and expressions.mp4 11.49Мб
5. Operators and expressions.srt 8.49Кб
5. Product recommendations Select technologies.mp4 6.26Мб
5. Product recommendations Select technologies.srt 5.95Кб
5. Python collections Dictionaries.mp4 14.10Мб
5. Python collections Dictionaries.srt 8.63Кб
5. Querying clustered tables.mp4 8.63Мб
5. Querying clustered tables.srt 6.72Кб
5. Querying regular views and secure views.mp4 8.28Мб
5. Querying regular views and secure views.srt 8.19Кб
5. Reprocessing.mp4 3.61Мб
5. Reprocessing.srt 3.33Кб
5. Running the Confluent platform locally.mp4 6.64Мб
5. Running the Confluent platform locally.srt 7.06Кб
5. Security.mp4 2.13Мб
5. Security.srt 2.26Кб
5. Solution Implementing CTEs.mp4 5.73Мб
5. Solution Implementing CTEs.srt 3.82Кб
5. Solution Materializations.mp4 8.24Мб
5. Solution Materializations.srt 5.71Кб
5. Solution Schema design.mp4 4.69Мб
5. Solution Schema design.srt 5.73Кб
5. Solution Testing SQL.mp4 10.81Мб
5. Solution Testing SQL.srt 5.37Кб
5. Technology integrations.mp4 3.64Мб
5. Technology integrations.srt 3.12Кб
5. Tuning producer acks.mp4 13.14Мб
5. Tuning producer acks.srt 11.33Кб
6. Advertising analytics Review final architecture.mp4 2.24Мб
6. Advertising analytics Review final architecture.srt 1.98Кб
6. Audit trail Review final architecture.mp4 3.07Мб
6. Audit trail Review final architecture.srt 2.73Кб
6. Configuring data retention time.mp4 4.49Мб
6. Configuring data retention time.srt 4.62Кб
6. Control structures.mp4 9.79Мб
6. Control structures.srt 8.84Кб
6. Creating and querying materialized views.mp4 8.28Мб
6. Creating and querying materialized views.srt 7.41Кб
6. Install and set up Apache Kafka.mp4 8.04Мб
6. Install and set up Apache Kafka.srt 6.08Кб
6. Monitoring consumer group rebalancing.mp4 13.23Мб
6. Monitoring consumer group rebalancing.srt 8.37Кб
6. On-prem vs. cloud data engineering.mp4 4.42Мб
6. On-prem vs. cloud data engineering.srt 4.85Кб
6. Overview of the control center.mp4 13.05Мб
6. Overview of the control center.srt 11.70Кб
6. Product recommendations Review the final architecture.mp4 2.46Мб
6. Product recommendations Review the final architecture.srt 2.22Кб
6. Querying clustering information.mp4 5.53Мб
6. Querying clustering information.srt 4.46Кб
6. Solution Analyze list.mp4 1.77Мб
6. Solution Analyze list.srt 1.50Кб
6. Solution Modeling taxi data.mp4 6.17Мб
6. Solution Modeling taxi data.srt 4.26Кб
6. Tuning producer compression.mp4 14.55Мб
6. Tuning producer compression.srt 11.16Кб
6. Write DataFrames as files.mp4 8.99Мб
6. Write DataFrames as files.mp4 8.35Мб
6. Write DataFrames as files.srt 4.37Кб
6. Write DataFrames as files.srt 5.84Кб
7. Functions.mp4 10.58Мб
7. Functions.srt 8.57Кб
7. Publish and consume messages using console scripts.mp4 3.77Мб
7. Publish and consume messages using console scripts.srt 5.19Кб
7. Querying historical data.mp4 6.77Мб
7. Querying historical data.srt 6.37Кб
7. Running point lookup queries on search-optimized tables.mp4 11.21Мб
7. Running point lookup queries on search-optimized tables.srt 9.25Кб
7. Solution NumPy Array Operation.mp4 2.74Мб
7. Solution NumPy Array Operation.srt 2.14Кб
7. Solution Play with pandas.mp4 2.81Мб
7. Solution Play with pandas.srt 2.23Кб
7. Tuning batch size and linger time.mp4 9.66Мб
7. Tuning batch size and linger time.srt 8.59Кб
8. Clustering vs. search optimization.mp4 12.61Мб
8. Clustering vs. search optimization.srt 10.47Кб
8. Dropping and restoring tables.mp4 3.81Мб
8. Dropping and restoring tables.srt 3.59Кб
8. Effect of message size and record count.mp4 15.31Мб
8. Effect of message size and record count.srt 9.72Кб
8. Modules and packages.mp4 9.03Мб
8. Modules and packages.srt 6.74Кб
9. String manipulation.mp4 13.84Мб
9. String manipulation.srt 10.09Кб
description.html 960б
description.html 1.26Кб
description.html 1.19Кб
description.html 1.09Кб
description.html 1.17Кб
description.html 924б
description.html 1.13Кб
Ex_Files_Advanced_Snowflake.zip 1.17Гб
Ex_Files_Apache_Kafka_EssT.zip 26.10Кб
Ex_Files_Python_Data_Eng_Beginner_to_Advanced.zip 442.55Кб
Ex_Files_Troubleshooting_Debugging_Kafka.zip 59.24Кб
Ex_Files_Tuning_Kafka.zip 71.11Кб
Exercises_Link.txt 119б