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1. Advanced Spark datasets.mp4
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12.6 MB
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1. Big Data concepts.mp4
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MP4
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19.7 MB
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1. Creating a free Hadoop and Spark cluster using Google Dataproc.mp4
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MP4
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79.2 MB
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1. Exporting the project to an uber jar.mp4
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MP4
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45.9 MB
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1. Fast queries with Hive Partitioning.mp4
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MP4
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116.7 MB
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1. Ingesting data from Hive.mp4
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43.3 MB
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1. Introduction to AWS data lake use case.mp4
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MP4
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13.6 MB
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1. Introduction.mp4
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MP4
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14.6 MB
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1. Organizing code further.mp4
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MP4
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21.1 MB
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1. Project - Bank prospects marketing data transformation using Hadoop and Spark.mp4
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MP4
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87.8 MB
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1. PySpark Hadoop Hive development environment using PyCharm and Winutils.mp4
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97.5 MB
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1. Python Logging.mp4
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42 MB
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1. Python unittest framework.mp4
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23.4 MB
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1. Reading from Hive and Writing to Postgres.mp4
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104.1 MB
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1. Scala Unit Testing using JUnit & ScalaTest.mp4
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62.4 MB
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1. Scala basics.mp4
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54.8 MB
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1. Spark Scala real world coding introduction.mp4
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2.5 MB
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1. Spark concepts.mp4
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28.1 MB
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1. Structured Streaming concepts.mp4
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6.1 MB
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1
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190.4 KB
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1.1 DataPipeline_v5.zip
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1.5 KB
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1.1 FutureXScalaUnitTesting.zip
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15.6 KB
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1.1 FutureXSparkScalaProject_readHivewritePG.zip
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353.5 KB
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1.1 advanced_spark_datasets.zip
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ZIP
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736.2 KB
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1.1 hello_world_python_spark_hadoop.zip
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ZIP
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716 B
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1.1 hive-partition.txt
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TXT
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2.3 KB
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1.1 pom.zip
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ZIP
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1 KB
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1.1 pyspark_bank_marketing_project.py
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PY
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2.7 KB
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1.1 scala-basics.txt
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TXT
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1.1 test.zip
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409 B
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1.2 pyspark_bank_marketing_project.zip
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1.2 retailstore_large.zip
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10. Installing PostgreSQL.mp4
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32.8 MB
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10.1 Postgres-course-catalog.sql
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11. psql command line interface for PostgreSQL.mp4
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11 MB
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11.1 Postgres-course-catalog_psql.zip
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614 B
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12. Fetching PostgresSQL data to a Spark DataFrame.mp4
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MP4
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31.8 MB
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12.1 FutureXSparkScalaProject_Postgres.zip
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12.3 KB
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13. Importing a project into IntelliJ.mp4
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34.2 MB
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14. Organizing code with Objects and Methods.mp4
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91.2 MB
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14.1 FutureXSparkScalaProject_organize.zip
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108.7 KB
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15. Implementing Log4j SLf4j Logging.mp4
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43.3 MB
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15.1 log4j.zip
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307 B
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16. Exception Handling with try, catch, Option, Some and None.mp4
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54.8 MB
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2. AWS data lake - S3, Glue and Athena introduction.mp4
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24.5 MB
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2. Cloudera QuickStart VM Installation on GCP.mp4
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66.1 MB
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2. Fast queries with Hive Bucketing.mp4
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21 MB
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2. Hadoop concepts.mp4
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41.2 MB
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2. Installing JDK on a local Machine.mp4
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12.7 MB
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2. Installing Spark on Google Colab.mp4
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35.4 MB
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2. Managing log level through a configuration file.mp4
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76.7 MB
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2. Rapid Revision - Big Data, Hadoop and Spark concepts.mp4
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108.7 MB
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2. Reading Configuration from JSON using Typesafe.mp4
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85.1 MB
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2. Reading configuration from a property file.mp4
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19.4 MB
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2. Spark SQL DataFrame using Scala.mp4
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35 MB
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2. Spark Transformation unit testing using ScalaTest.mp4
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73.3 MB
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2. Storing data in HDFS and querying with Hive.mp4
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82.1 MB
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2. Streaming data from files.mp4
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18.8 MB
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2. Structuring code with classes and methods.mp4
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31.7 MB
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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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2.1 Creating a Data Lake using S3, Glue, Athena.zip
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2.1 DataPipeline_logging_1.zip
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2.1 DataPipeline_read_config.zip
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2.1 DataPipeline_v1.zip
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2.1 FutureXSparkScalaProject_ScalaTest.zip
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980.5 KB
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2.1 FutureXSparkScalaProject_typesafe_config_parser.zip
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358.9 KB
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2.1 Spark_Installation_on_Colab.zip
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2.1 cloudera-gcp.txt
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2.1 files.zip
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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-scala-dataframe.txt
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TXT
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2.2 FuturexMiscSparkScala.zip
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2.2 PySpark_udf_and_join.zip
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2.2 hive-hdfs-commands.txt
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2.2 retailstore_large.zip
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2.2 spark_installation_on_colab.py
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3. Bank prospects marketing project in Scala.mp4
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MP4
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22.5 MB
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3. Batch Vs Streaming code.mp4
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12.6 MB
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3. Create a data lake on AWS S3.mp4
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3. Having custom logger for each Python class.mp4
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MP4
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42 MB
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3. How Spark works.mp4
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MP4
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3. Installing IntelliJ IDEA.mp4
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MP4
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5.2 MB
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3. Installing PostgreSQL.mp4
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MP4
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23.3 MB
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3. Joins - Left, Right, Inner, Outer.mp4
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MP4
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50 MB
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3. Python basics.mp4
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MP4
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71.3 MB
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3. Running Spark 2 with Hive on Cloudera QuickStart VM.mp4
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36.6 MB
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3. Unit testing an error.mp4
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3. Writing data to a Hive Table.mp4
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3. Unit testing to catch an Exception.mp4
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17.6 MB
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3.1 DataPipeline_Logger2.zip
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ZIP
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3.1 FutureXSparkScalaProject_writeToHive.zip
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ZIP
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396.9 KB
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3.1 Postgres-course-catalog.zip
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ZIP
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614 B
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3.1 PySpark_udf_and_join.zip
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ZIP
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16 KB
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3.1 python_basics.py
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PY
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3.1 spark-scala-bank-marketing-project.txt
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TXT
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1.3 KB
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3.1 spark2-cloudera.txt
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TXT
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3.1 test_transformer.zip
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ZIP
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3.2 pyspark_udf_and_join.py
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PY
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3.2 python_basics.py
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4. AWS Glue crawler and AWS Athena query tool.mp4
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MP4
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4. Adding Scala Plugin to IntelliJ.mp4
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2.6 MB
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4. Catching Exception using assertThrows.mp4
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23.4 MB
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4. Creating and reusing SparkSession.mp4
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MP4
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53.5 MB
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4. Error Handling with try except and raise.mp4
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53 MB
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4. Managing input parameters using a Scala Case Class.mp4
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34.3 MB
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4. PySpark - spark submit.mp4
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13 MB
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4. PySpark PostgreSQL interaction with Psycopg2 adapter.mp4
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59.5 MB
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4. PySpark RDD.mp4
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78.5 MB
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4. Uber Jar spark-submit on Cloudera QuickStart VM.mp4
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MP4
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25 MB
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4. Writing streaming data to a Hive table.mp4
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MP4
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24.4 MB
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4.1 DataPipeline_psycopg2.zip
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2.4 KB
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4.1 DataPipeline_v2.zip
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1.2 KB
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4.1 FutureXSparkScalaProject.zip
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978.1 KB
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4.1 files (1).zip
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512 B
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4.1 pyspark_rdd.zip
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4.1 spark-submit.txt
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TXT
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204 B
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4.2 FutureXSparkScalaProject-spark-submit.zip
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26.5 KB
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4.2 FuturexMiscSparkScala (1).zip
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4.2 retailstore.csv
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CSV
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307 B
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5. Doing spark-submit locally.mp4
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26.5 MB
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5. ETL transformation using AWS Glue.mp4
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48.5 MB
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5. Hello World Scala.mp4
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35.1 MB
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5. Intellij Maven troubleshooting tips.html
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HTML
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5. PySpark - Spark SQL and DataFrame.mp4
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5. Spark DataFrame.mp4
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5. Spark PostgreSQL interaction with JDBC driver.mp4
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5. Streaming Aggregation.mp4
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5. Throwing Custom Error and Intercepting Error Message.mp4
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60.3 MB
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5.1 DataPipeline_postgres_jdbc.zip
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911.8 KB
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5.1 DataPipeline_v3.zip
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5.1 ScalaHelloWorld.zip
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5.1 SparkTransformerSpec.zip
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716 B
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5.1 StructuredStreamingWindowAggregation.zip
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819 B
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5.1 pyspark_dataframe.py
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5.2 FutureXSparkScalaProject_assetThrowsIntercept.zip
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1 MB
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5.2 PySpark_DataFrame.zip
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5.2 sale.zip
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512 B
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6. Filtering Stream.mp4
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44.8 MB
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6. Persisting transformed data in PostgreSQL.mp4
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18.8 MB
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6. Running PySpark on a Hadoop Cluster.mp4
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45.4 MB
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6. Scala basics using IntelliJ.mp4
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75.5 MB
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6. Separating out Ingestion, Transformation and Persistence code.mp4
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46 MB
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13 MB
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6. Triggering AWS Glue job with a serverless AWS Lambda function.mp4
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57.8 MB
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6.1 DataPipeline_v4.zip
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6.1 FuturexMiscSparkScala_Filter.zip
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6.1 ScalaBasics.zip
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6.1 SparkTransformerSpec.zip
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6.1 Triggering AWS Glue job with a serverless Lambda function.zip
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512 B
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6.1 pg_course.zip
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7. Adding timestamp to streaming data.mp4
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7. Hello World Spark Scala using IntelliJ.mp4
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41.4 MB
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7. Project - Bank prospects data transformation using S3, Glue & Athena services.mp4
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76.2 MB
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7.1 SparkHelloWorld.zip
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7.1 StructuredStreamingDemoTimestamp.zip
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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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8.1 StructuredStreamingWindowAggregation.zip
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8.1 failtests.txt
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9. Sharing fixtures.mp4
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9. Tumbling window and Sliding window.mp4
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9.1 FutureXSparkScalaProject.zip
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9.1 FuturexMiscSparkScala.zip
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9.1 SparkTransformerSpec.zip
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TutsNode.com.txt
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516.3 KB
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59
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549.1 KB
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60
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656.9 KB
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61
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627.3 KB
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62
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648.3 KB
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63
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714.6 KB
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64
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490.1 KB
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948.8 KB
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66
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998.4 KB
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67
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267.5 KB
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68
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588 KB
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69
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225.8 KB
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230 KB
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341.1 KB
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440.6 KB
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416.9 KB
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441.2 KB
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426.9 KB
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50.1 KB
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123.2 KB
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222 KB
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963 KB
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632.3 KB
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