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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
Author Profile Icon Shilpi Saxena
Shilpi Saxena
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Table of Contents (12) Chapters Close

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

The technology matrix for Lambda Architecture

In this section, we will discuss various technology options available for developing the various layers of Lambda Architecture.

Lambda Architecture talks about four different layers, and each layer has its own function and purpose. Let's look at the variety of technologies available that can be leveraged for developing these layers of Lambda Architecture:

The data consumption layer is the first layer in the overall architecture. Going by the name, it seems to be the simplest layer, but, in reality, it needs to deal with a lot of complexities. Here are a few challenges that we need to keep in mind before developing or choosing any technology for the data consumption layer:

  • Highly available: It should be highly available and it should be ensured that it works either in master, slave, or peer architecture. There should be no single point of failure that can stop the consumption of messages.
  • Fault tolerant: It is extremely important that it is...
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