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  • 01 Flume Introduction
  • 01 Sqoop common issues
  • 01 Sqoop Export
  • 01 Sqoop Import
  • 02 Sqoop Export - Merge_Upsert
  • 02 Sqoop export delimiters
  • 02 Sqoop Import
  • 02 Sqoop Import - Add on
  • 03 Sqoop File Formats
  • 03 Sqoop Import
  • 04 Sqoop Import
  • 05 Sqoop Import Incremental
  • Avro Schema Evolution in Hive and Impala
  • Cloudera Quickstart 5.5 Preview
  • Cloudera Quickstart 5.5 preview - CCA certification
  • Combiner in reduceByKey and aggregateByKey
  • Common Issues - Connection Refused
  • Conclusion and Best of luck
  • Copying data from HDFS
  • Create a table in the Hive metastore using Avro
  • Data Analysis introduction
  • Data Warehouse using Hadoop eco system - 05 Create Databases Hive DDL Theory
  • Data Warehouse using Hadoop eco system - 06 Create Databases Hive DDL Demo
  • Data Warehouse using Hadoop eco system - 07 Extract and Load Sqoop Theory
  • Data Warehouse using Hadoop eco system - 08 02 Extract and Load Sqoop Demo
  • Data Warehouse using Hadoop eco system - 09 02 Extract and Load - Hive Load demo
  • Data Warehouse using Hadoop eco system - 09 03 Transformation and Load
  • Data Warehouse using Hadoop eco system - 09 04 Transformation and Load
  • Data Warehouse using Hadoop eco system 09 01 Extract and Load Hive Theory
  • Extracting Avro schema from Avro
  • Flume - Ingest real time data into HDFS
  • Flume - Running first job (telnet to logger)
  • Flume - Setup Telnet
  • Flume - Using HDFS Sink
  • Hadoop Ceritfication - 01 Sqoop import delimiters
  • Hive Metastore
  • How Combiner Works
  • Introduction
  • Introduction of pyspark (python on spark)
  • Partitioning in Hive with Avro file format
  • Pyspark - 01 Aggregating Data (totals)
  • Pyspark - 01 Joining Data Sets using Python
  • Pyspark - 02 Aggregating data (totals continued)
  • Pyspark - 02 Joining Data Sets using Python
  • Pyspark - 03 Aggregating Data by key - Introduction
  • Pyspark - 03 Joining Data Sets using SQL
  • Pyspark - 04 Average by key
  • Pyspark - 05 Max By Key (includes SQL)
  • Pyspark - Developing Word Count program - flatMap
  • Pyspark - Filtering data
  • Pyspark - Global sorting and ranking
  • Pyspark - Reading and Saving Hive and JSON data
  • Pyspark - Reading and Saving Sequence Files
  • Pyspark - Reading and Saving Text Files
  • Pyspark - Recap of python list operations
  • Pyspark - Sorting and Ranking
  • Pyspark - Sorting and Ranking using SQL
  • Scala - 01 Joining Data Sets
  • Scala - 02 Aggregating Data by key - Introduction
  • Scala - 02 Joining Data Sets using Hive
  • Scala - 03 Average by key
  • Scala - 04 Max By Key (includes SQL)
  • Scala - Developing Word Count program - flatMap
  • Scala - Filtering data (includes sql)
  • Scala - Global sorting and ranking
  • Scala - Ranking by key using groupByKey
  • Scala - Reading and Saving Hive and JSON data
  • Scala - Reading and Saving Sequence Files
  • Scala - Reading and Saving Text Files
  • Scala - Recap of scala list operations
  • Scala - Sorting and Ranking by key using groupByKey
  • Setup Spark 1.2.1 on Quickstart VM
  • Spark Introduction
  • Sqoop commands - list and eval
  • Sqoop Job and Sqoop Merge
  • Submitting pyspark applications
  • Submitting scala applications
  • Using Cloudera Quickstart VM
  • Using Cloudera Quickstart VM (Add on)
  • Word Count Explained
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