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Real-Time Big Data Analytics

You're reading from   Real-Time Big Data Analytics Design, process, and analyze large sets of complex data in real time

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Product type Paperback
Published in Feb 2016
Publisher
ISBN-13 9781784391409
Length 326 pages
Edition 1st Edition
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Author (1):
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Shilpi Saxena Shilpi Saxena
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Shilpi Saxena
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Table of Contents (17) Chapters Close

Real-Time Big Data Analytics
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
1. Introducing the Big Data Technology Landscape and Analytics Platform FREE CHAPTER 2. Getting Acquainted with Storm 3. Processing Data with Storm 4. Introduction to Trident and Optimizing Storm Performance 5. Getting Acquainted with Kinesis 6. Getting Acquainted with Spark 7. Programming with RDDs 8. SQL Query Engine for Spark – Spark SQL 9. Analysis of Streaming Data Using Spark Streaming 10. Introducing Lambda Architecture Index

Chapter 10. Introducing Lambda Architecture

Enterprises have come a long way where there's a demand for a unified system that meets both batch and real-time data processing needs. To extend it further, the need is for a distributed, scalable, highly-available, and fault-tolerant Big Data enterprise system, which is capable of presenting unified views/insights from the batch as well as real-time data systems. Though architects/developers have been working on discrete systems where batch and real-time use cases were developed and deployed separately, presenting this as a single view to the users was a real challenge. Perceiving the objective of a unified view has its own challenges. In some places where it was realized using leveraged traditional architectural patterns, it made the whole system too complex and, in some cases, made the whole system almost unmanageable.

In order to meet the needs and challenges of enterprises for presenting a unified view, which is combination of batch and real...

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