Module31_spark_data_partitioning_Screen_Stream.avi
Content 

Module 31 : SPARK ADVANCED : DATA PARTITIONING ( PDF Download) (Available  Length 26 Minutes) 

  1. What is Partitioning and why?
  2. Data Partitioning example using Join (Hash Partitioning)
  3. Understand Partitioning using Example for get Recommendations for Customer
  4. Understand Partitioning code using Spark-Scala
  5. Operations which create Partitioned RDD
  6. Operation which get benefit of Partitioning
  7. Operation that affect the partitioning

http://www.hadoopexam.com/Cloudera_Certification/CCPDE575/CCP_DE575_Hadoop_Cloudera_Data_Enginer_Questions_Dumps_Practice_Test.htmlhttp://www.hadoopexam.com/cloudera_certification/cca175/cca_175_hadoop_cloudera_spark_certification_questions_dumps_practice_test.html

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