Module-31

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

Spark Specialization Components

1. Oreilly Apache Spark Certification

2. Apache Spark Training

3. Cloudera CCA175 Hadoop and Spark Certification

4. Apache Hadoop Professional Training

ApacheSpark Interview Questions

·         Apache Spark InterviewQuestions-1

·         Apache Spark Interview Questions-2

·         Apache Spark Interview Questions-3

·         Apache Spark Interview Questions-4

·         Apache Spark Interview Questions-5

·         Apache Spark Interview Questions-6 

          Apache Spark Interview Questions-7

Java MultiThreading Interview Questions

·         Java Multi-Threading Intrview Questions-1

·         Java Multi-Threading Interview Questions-2

·         Java Multi-Threading Interview Questions-3

·         Java Multi-Threading Interview Questions-4

·         Java Multi-Threading Interview Questions-5

·         Java Multi-Threading Interview Questions-6