Apache Storm

1. Introduction of Big Data and Storm

Learning Objectives - In this module you'll get the understanding of Big Data world, Batch Analytics, Real Time Analytics, Storm for Real Time Analytics, Basics of Storm, its origin, architecture and its comparison with Hadoop.

Topics - What is Big Data, Big Data Analytics: Batch Vs Real Time, Hadoop for Batch Analytics, Shortcomings of Hadoop, Storm for Real Time Analytics, What is Storm, Use Cases of Storm, Components of Storm, Properties of Storm, Storm Vs Hadoop.

2. Storm Technology Stack and Groupings

Learning Objectives - In this module you'll learn Storm Installation, different run modes of Storm, creating a simple Storm program and different topologies available in Storm.

Topics - Storm Installation, Storm Running Modes, Creating First Storm Topology, Topologies in Storm.

3. Spouts and Bolts

Learning Objectives - In this module you'll learn about Spouts and Bolts, two basic building blocks of any Storm topology.

Topics - Reliable Vs Unreliable Messages, Getting Data, Bolt Lifecycle , Bolt Structure, Reliable Vs Unreliable Bolts.

4. Trident Topologies

Learning Objectives - In this module you'll learn about Trident Topologies, a new feature included in Storm to handle failures.

Topics - Design, Trident in Storm, Spout, RQ Class, Co-ordinator, Emitter, Bolt, Committer Bolts, Partitioned Transactional Spouts.

5. Real Life Storm Project-1

Learning Objectives - In this module we'll discuss first real life project, its set up, code and execution.

6. Real Life Storm Project-2

Learning Objectives - In this module we'll discuss second real life project, its set up, code and execution.