Course Content
1. Introduction
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1.1 Big Data Introduction
1.2 Scala Basics
1.3 Scala Programming
1.4 Programming with RDDs
1.5 Transforming Data with RDDs
 1.6 Introduction to Pair RDDs
1.7 Spark SQL:DataFrames and Schemas
1.8 Querying tables using Spark SQL
1.9 Working with Datasets in Scala
1.10 Writing, Configuring, and Running Apache Spark Applications
1.11 Apache Spark Streaming: Introduction to D Streams
1.12 Apache Spark Streaming: Processing Multiple Batches
1.13  Apache Spark Streaming: Data Sources
1.14 Message Processing with Apache Kafka
1.15 Capturing Data with Apache Flume
1.16 Integrating Apache Flume and Apache Kafka
Big Data with Spark and Scala
About Lesson
  • Getting Started with Datasets and DataFrames
  • DataFrames Operations
  • Activity: Exploring DataFrames Using the Apache Spark Shell
  • Creating DataFrames from Data Sources
  • Saving DataFrames to Data Sources
  • Data Frame Schemas
  • Eager and Lazy Execution
  • Querying DataFrames Using Column Expressions
  • Grouping and Aggregation Queries
  • Joining DataFrames
  • Activity: Analyzing Data with DataFrame Queries
  • Activity: Working with DataFrames and Schemas
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