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| [TGx]Downloaded from torrentgalaxy.to .txt |
585б |
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| 1 |
190.41Кб |
| 1.1 advanced_spark_datasets.zip |
736.25Кб |
| 1.1 DataPipeline_v5.zip |
1.48Кб |
| 1.1 FutureXScalaUnitTesting.zip |
15.62Кб |
| 1.1 FutureXSparkScalaProject_readHivewritePG.zip |
353.51Кб |
| 1.1 hello_world_python_spark_hadoop.zip |
746б |
| 1.1 hive-partition.txt |
2.29Кб |
| 1.1 pom.zip |
989б |
| 1.1 pyspark_bank_marketing_project.py |
2.72Кб |
| 1.1 scala-basics.txt |
1.93Кб |
| 1.1 test.zip |
455б |
| 1.2 pyspark_bank_marketing_project.zip |
14.70Кб |
| 1.2 retailstore_large.zip |
5.37Мб |
| 1. Advanced Spark datasets.mp4 |
12.63Мб |
| 1. Big Data concepts.mp4 |
19.74Мб |
| 1. Creating a free Hadoop and Spark cluster using Google Dataproc.mp4 |
79.19Мб |
| 1. Exporting the project to an uber jar.mp4 |
45.90Мб |
| 1. Fast queries with Hive Partitioning.mp4 |
116.67Мб |
| 1. Ingesting data from Hive.mp4 |
43.34Мб |
| 1. Introduction.mp4 |
14.57Мб |
| 1. Introduction to AWS data lake use case.mp4 |
13.58Мб |
| 1. Organizing code further.mp4 |
21.07Мб |
| 1. Project - Bank prospects marketing data transformation using Hadoop and Spark.mp4 |
87.76Мб |
| 1. PySpark Hadoop Hive development environment using PyCharm and Winutils.mp4 |
97.54Мб |
| 1. Python Logging.mp4 |
42.01Мб |
| 1. Python unittest framework.mp4 |
23.37Мб |
| 1. Reading from Hive and Writing to Postgres.mp4 |
104.10Мб |
| 1. Scala basics.mp4 |
54.80Мб |
| 1. Scala Unit Testing using JUnit & ScalaTest.mp4 |
62.38Мб |
| 1. Spark concepts.mp4 |
28.12Мб |
| 1. Spark Scala real world coding introduction.mp4 |
2.46Мб |
| 1. Structured Streaming concepts.mp4 |
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| 10.1 Postgres-course-catalog.sql |
1.20Кб |
| 10. Installing PostgreSQL.mp4 |
32.78Мб |
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| 11.1 Postgres-course-catalog_psql.zip |
619б |
| 11. psql command line interface for PostgreSQL.mp4 |
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| 12.1 FutureXSparkScalaProject_Postgres.zip |
12.28Кб |
| 12. Fetching PostgresSQL data to a Spark DataFrame.mp4 |
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| 13. Importing a project into IntelliJ.mp4 |
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| 14.1 FutureXSparkScalaProject_organize.zip |
108.74Кб |
| 14. Organizing code with Objects and Methods.mp4 |
91.17Мб |
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| 15.1 log4j.zip |
343б |
| 15. Implementing Log4j SLf4j Logging.mp4 |
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| 16. Exception Handling with try, catch, Option, Some and None.mp4 |
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| 2.1 cloudera-gcp.txt |
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| 2.1 Creating a Data Lake using S3, Glue, Athena.zip |
1.40Кб |
| 2.1 DataPipeline_logging_1.zip |
2.61Кб |
| 2.1 DataPipeline_read_config.zip |
917.98Кб |
| 2.1 DataPipeline_v1.zip |
951б |
| 2.1 files.zip |
509б |
| 2.1 FutureXSparkScalaProject_ScalaTest.zip |
980.54Кб |
| 2.1 FutureXSparkScalaProject_typesafe_config_parser.zip |
358.89Кб |
| 2.1 hive-bucketing.txt |
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| 2.1 pyspark_udf_and_join.py |
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| 2.1 retailstore.csv |
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| 2.1 Spark_Installation_on_Colab.zip |
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| 2.1 spark-scala-dataframe.txt |
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| 2.2 FuturexMiscSparkScala.zip |
18.72Кб |
| 2.2 hive-hdfs-commands.txt |
1.51Кб |
| 2.2 PySpark_udf_and_join.zip |
15.99Кб |
| 2.2 retailstore_large.zip |
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| 2.2 spark_installation_on_colab.py |
1.33Кб |
| 2. AWS data lake - S3, Glue and Athena introduction.mp4 |
24.46Мб |
| 2. Cloudera QuickStart VM Installation on GCP.mp4 |
66.11Мб |
| 2. Fast queries with Hive Bucketing.mp4 |
21.02Мб |
| 2. Hadoop concepts.mp4 |
41.23Мб |
| 2. Installing JDK on a local Machine.mp4 |
12.70Мб |
| 2. Installing Spark on Google Colab.mp4 |
35.45Мб |
| 2. Managing log level through a configuration file.mp4 |
76.71Мб |
| 2. Rapid Revision - Big Data, Hadoop and Spark concepts.mp4 |
108.67Мб |
| 2. Reading configuration from a property file.mp4 |
19.43Мб |
| 2. Reading Configuration from JSON using Typesafe.mp4 |
85.05Мб |
| 2. Spark SQL DataFrame using Scala.mp4 |
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| 2. Spark Transformation unit testing using ScalaTest.mp4 |
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| 2. Storing data in HDFS and querying with Hive.mp4 |
82.07Мб |
| 2. Streaming data from files.mp4 |
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| 2. Structuring code with classes and methods.mp4 |
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| 2. Transforming ingested data.mp4 |
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| 2. Unit testing PySpark transformation logic.mp4 |
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| 2. User Defined Function (UDF).mp4 |
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| 3.1 DataPipeline_Logger2.zip |
2.75Кб |
| 3.1 FutureXSparkScalaProject_writeToHive.zip |
396.86Кб |
| 3.1 Postgres-course-catalog.zip |
579б |
| 3.1 PySpark_udf_and_join.zip |
15.99Кб |
| 3.1 python_basics.py |
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| 3.1 spark2-cloudera.txt |
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| 3.1 spark-scala-bank-marketing-project.txt |
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| 3.1 test_transformer.zip |
826б |
| 3.2 pyspark_udf_and_join.py |
3.67Кб |
| 3.2 python_basics.py |
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| 3. Bank prospects marketing project in Scala.mp4 |
22.52Мб |
| 3. Batch Vs Streaming code.mp4 |
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| 3. Create a data lake on AWS S3.mp4 |
15.59Мб |
| 3. Having custom logger for each Python class.mp4 |
41.98Мб |
| 3. How Spark works.mp4 |
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| 3. Installing IntelliJ IDEA.mp4 |
5.22Мб |
| 3. Installing PostgreSQL.mp4 |
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| 3. Joins - Left, Right, Inner, Outer.mp4 |
50.01Мб |
| 3. Python basics.mp4 |
71.27Мб |
| 3. Running Spark 2 with Hive on Cloudera QuickStart VM.mp4 |
36.58Мб |
| 3. Unit testing an error.mp4 |
12.88Мб |
| 3. Unit testing to catch an Exception.mp4 |
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| 3. Writing data to a Hive Table.mp4 |
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| 4 |
109.85Кб |
| 4.1 DataPipeline_psycopg2.zip |
2.40Кб |
| 4.1 DataPipeline_v2.zip |
1.19Кб |
| 4.1 files (1).zip |
509б |
| 4.1 FutureXSparkScalaProject.zip |
978.10Кб |
| 4.1 pyspark_rdd.zip |
15.72Кб |
| 4.1 spark-submit.txt |
222б |
| 4.2 FuturexMiscSparkScala (1).zip |
18.72Кб |
| 4.2 FutureXSparkScalaProject-spark-submit.zip |
26.51Кб |
| 4.2 retailstore.csv |
279б |
| 4. Adding Scala Plugin to IntelliJ.mp4 |
2.59Мб |
| 4. AWS Glue crawler and AWS Athena query tool.mp4 |
41.93Мб |
| 4. Catching Exception using assertThrows.mp4 |
23.39Мб |
| 4. Creating and reusing SparkSession.mp4 |
53.55Мб |
| 4. Error Handling with try except and raise.mp4 |
53.04Мб |
| 4. Managing input parameters using a Scala Case Class.mp4 |
34.28Мб |
| 4. PySpark PostgreSQL interaction with Psycopg2 adapter.mp4 |
59.54Мб |
| 4. PySpark RDD.mp4 |
78.49Мб |
| 4. PySpark - spark submit.mp4 |
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| 4. Uber Jar spark-submit on Cloudera QuickStart VM.mp4 |
25.01Мб |
| 4. Writing streaming data to a Hive table.mp4 |
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| 5 |
248.49Кб |
| 5.1 DataPipeline_postgres_jdbc.zip |
911.76Кб |
| 5.1 DataPipeline_v3.zip |
1.55Кб |
| 5.1 pyspark_dataframe.py |
4.50Кб |
| 5.1 ScalaHelloWorld.zip |
7.96Кб |
| 5.1 SparkTransformerSpec.zip |
703б |
| 5.1 StructuredStreamingWindowAggregation.zip |
823б |
| 5.2 FutureXSparkScalaProject_assetThrowsIntercept.zip |
1.02Мб |
| 5.2 PySpark_DataFrame.zip |
17.67Кб |
| 5.2 sale.zip |
530б |
| 5. Doing spark-submit locally.mp4 |
26.50Мб |
| 5. ETL transformation using AWS Glue.mp4 |
48.45Мб |
| 5. Hello World Scala.mp4 |
35.10Мб |
| 5. Intellij Maven troubleshooting tips.html |
590б |
| 5. PySpark - Spark SQL and DataFrame.mp4 |
69.44Мб |
| 5. Spark DataFrame.mp4 |
44.50Мб |
| 5. Spark PostgreSQL interaction with JDBC driver.mp4 |
34.64Мб |
| 5. Streaming Aggregation.mp4 |
38.70Мб |
| 5. Throwing Custom Error and Intercepting Error Message.mp4 |
60.33Мб |
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| 6.1 DataPipeline_v4.zip |
1.69Кб |
| 6.1 FuturexMiscSparkScala_Filter.zip |
33.72Кб |
| 6.1 pg_course.zip |
315б |
| 6.1 ScalaBasics.zip |
12.22Кб |
| 6.1 spark-hadoop-commands.txt |
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| 6.1 SparkTransformerSpec.zip |
770б |
| 6.1 Triggering AWS Glue job with a serverless Lambda function.zip |
526б |
| 6.2 persist_transformed_df.zip |
867б |
| 6. Filtering Stream.mp4 |
44.84Мб |
| 6. Persisting transformed data in PostgreSQL.mp4 |
18.78Мб |
| 6. Running PySpark on a Hadoop Cluster.mp4 |
45.45Мб |
| 6. Scala basics using IntelliJ.mp4 |
75.53Мб |
| 6. Separating out Ingestion, Transformation and Persistence code.mp4 |
46.01Мб |
| 6. Testing with assertResult.mp4 |
12.95Мб |
| 6. Triggering AWS Glue job with a serverless AWS Lambda function.mp4 |
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| 7.1 common.zip |
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| 7.1 glue_pyspark_bank_marketing_project.zip |
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| 7.1 SparkHelloWorld.zip |
9.65Кб |
| 7.1 StructuredStreamingDemoTimestamp.zip |
721б |
| 7. Adding timestamp to streaming data.mp4 |
30.67Мб |
| 7. Hello World Spark Scala using IntelliJ.mp4 |
41.39Мб |
| 7. Project - Bank prospects data transformation using S3, Glue & Athena services.mp4 |
76.16Мб |
| 7. Testing with Matchers.mp4 |
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| 8.1 failtests.txt |
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| 8.1 githuhb-link.txt |
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| 8.1 StructuredStreamingWindowAggregation.zip |
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| 8.2 winutils.zip |
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| 8. Aggregation in a time window.mp4 |
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| 8. Configuring HADOOP HOME on Windows using Winutils.mp4 |
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| 8. Failing tests intentionally.mp4 |
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| 9.1 FuturexMiscSparkScala.zip |
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| 9.1 FutureXSparkScalaProject.zip |
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| 9.1 SparkTransformerSpec.zip |
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| 9. Enabling Hive Support in Spark Session.mp4 |
46.33Мб |
| 9. Sharing fixtures.mp4 |
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| 9. Tumbling window and Sliding window.mp4 |
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| TutsNode.com.txt |
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