Apache Spark Ver 2.x using Java Training

Objectives

• Apache Spark architecture
• Resilient Distributed Datasets
• Working with Spark in interactive and Java programming mode
• Operations with RDDs, Pair RDD
• Persisting and Caching RDDs
• Spark Master and Worker in distributed mode
• Spark SQL: Dataframe and TempTables
• Spark Streaming
• Analytics and Machine Learning in Spark
• Tips and tricks of improving Spark performance

Highlights

• Module 1: Introduction to Big data eco system
• Module 2: Spark Basics and Architecture
• Module 3: Working with RDDs in Spark
• Module 4: Aggregating data with Pair RDDs
• Module 5: More on Spark
• Module 6: Distributing Apache Spark
• Module 7: Spark Data Processing: Spark SQL
• Module 8: More on Spark SQL
• Module 9: Basics of Spark Streaming
• Module 10: More on Spark Streaming
• Module 11: Analytics and Machine Learning in Spark
• Module 12: Improving performance of Spark

Who Should Attend

Development experience of at least 2 years on Java Platform and good understanding of HDFS & MapReduce/Hadoop platform.

Target Audience

Data Engineer & Data Analyst

Personas

Data Engineer & Data Analyst