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You're reading from Mastering Apache Storm

Product typeBook

Published inAug 2017

Reading LevelExpert

Publisher

ISBN-139781787125636

Edition1st Edition

Languages

Java

Tools

Storm Hadoop

Concepts

Data Processing

Author (1)

Ankit Jain

Apache Storm

Apache Storm has emerged as the platform of choice for industry leaders to develop distributed, real-time, data processing platforms. It provides a set of primitives that can be used to develop applications that can process a very large amount of data in real time in a highly scalable manner.

Storm is to real-time processing what Hadoop is to batch processing. It is open source software, and managed by Apache Software Foundation. It has been deployed to meet real-time processing needs by companies such as Twitter, Yahoo!, and Flipboard. Storm was first developed by Nathan Marz at BackType, a company that provided social search applications. Later, BackType was acquired by Twitter, and it is a critical part of their infrastructure. Storm can be used for the following use cases:

Stream processing: Storm is used to process a stream of data and update a variety of databases in real time. This processing occurs in real time and the processing speed needs to match the input data speed.
Continuous computation: Storm can do continuous computation on data streams and stream the results to clients in real time. This might require processing each message as it comes in or creating small batches over a short time. An example of continuous computation is streaming trending topics on Twitter into browsers.
Distributed RPC: Storm can parallelize an intense query so that you can compute it in real time.
Real-time analytics: Storm can analyze and respond to data that comes from different data sources as they happen in real time.

In this chapter, we will cover the following topics:

What is a Storm?
Features of Storm
Architecture and components of a Storm cluster
Terminologies of Storm
Programming language
Operation modes

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Mastering Apache Storm

Published in: Aug 2017Publisher: ISBN-13: 9781787125636

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Author (1)

Ankit Jain

Ankit Jain holds a bachelor's degree in computer science and engineering. He has 6 years, experience in designing and architecting solutions for the big data domain and has been involved with several complex engagements. His technical strengths include Hadoop, Storm, S4, HBase, Hive, Sqoop, Flume, Elasticsearch, machine learning, Kafka, Spring, Java, and J2EE. He also shares his thoughts on his personal blog. You can follow him on Twitter at @mynameisanky. He spends most of his time reading books and playing with different technologies. When not at work, he spends time with his family and friends watching movies and playing games.
Read more about Ankit Jain

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