Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Feb 2016
Publisher
ISBN-13 9781784391409
Length 326 pages
Edition 1st Edition
Languages
Concepts
Arrow right icon
Author (1):
Arrow left icon
Shilpi Saxena Shilpi Saxena
Author Profile Icon Shilpi Saxena
Shilpi Saxena
Arrow right icon
View More author details
Toc

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...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image