Apache Storm

Course Features

Course Details

Course Objectives
After the completion of 'Apache Storm' course at Iteanz, you should be able to:
1. Understand where to use Storm for real time analytics
2. Setup Apache Storm cluster on your system
3. Learn Storm Technology Stack and Groupings
4. Implement Spouts and Bolts
5. Implement Trident Topology on top of Storm
6. Work on multiple Real World Projects using Storm

Who should go for this course? 
This course is designed for professionals aspiring to make a career in Real Time Big Data Analytics using Apache Storm and the Hadoop Framework. Software Professionals, Data Scientists, ETL developers and Project Managers are the key beneficiaries of this course. Other professionals who are looking forward to acquire a solid foundation of Apache Storm Architecture can also opt for this course.

Pre-requisites
Attendees should have prior programming experience and should be familiar with basic concepts of Core Java and Object Oriented Programming Concepts. Knowledge of Hadoop, concepts like messaging queues and pub-sub methods will be an added advantage for this course. We also provide a complimentary course "Java Essentials for Storm" to all the participants who enrol for the Apache Storm training.

Why Learn Apache Storm?
The Google search trend in the past one year evidently indicates Apache Storm as the next big thing in the Real Time Data Analytics ecosystem. Forecasted as the preferred open source platform for Real Time Big Data Analytics, Apache Storm will be a highly valued skill for professionals in the Data Analytics domain. This comprehensive course will enable you to understand Apache Storm from the basic. You will be mentored to work on multiple real world use cases using Apache Storm and its comparison with the Hadoop Ecosystem.

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.
This course does not have any sections.

More Courses by this Instructor