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Detailed Product Description:The self-paced online Apache Storm course is designed to provide knowledge and skills for real time analytics of wide variety of streamed data. Apache Storm is powerful, distributed, real time computation system. Storm is a well-developed, stable and fun to use framework for enterprise grade real time big data analysis.
Course Objectives:
After the completion of Apache Storm course at Edureka, 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
For whom?
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.
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.
Course Curriculum (Structure):
1. Introduction of Big Data and Storm
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
Topics - Storm Installation, Storm Running Modes, Creating First Storm Topology, Topologies in Storm.
3. Spouts and Bolts
Topics - Reliable Vs Unreliable Messages, Getting Data, Bolt Lifecycle , Bolt Structure, Reliable Vs Unreliable Bolts.
4. Trident Topologies
Topics - Design, Trident in Storm, Spout, RQ Class, Co-ordinator, Emitter, Bolt, Committer Bolts, Partitioned Transactional Spouts.
5. Real Life Storm Project-1
6. Real Life Storm Project-2
Content Outline (No. of Chapters/Modules):
18 Hours Self Paced Learning Videos Classes + 15 Hours Assignment
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.
USP of the product:
• Learn Anytime, Anywhere
• Interesting and easy to understand tutorials
• 24*7 Support
• Best in industry instructors
• Lifetime course material availability
How to use? (Steps to use Study Material):
1. Purchase course on Snapdeal
2. Receive User ID and Password of LMS account from Edureka
3. Schedule lectures from the given slots of batches
4. Start learning
FAQs:
Here you can have a look at our frequently asked questions. We have put together some simple answers you may have, Click here to take a look!
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