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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

Big Data – a phenomenon

The phrase Big Data is not just a new buzzword, it's something that arrived slowly and captured the entire arena. The arrival of Hadoop and its alliance marked the end of the age for the long undefeated reign of traditional databases and warehouses.

Today, we have a humongous amount of data all around us, in each and every sector of society and the economy; talk about any industry, it's sitting and generating loads of data—for instance, manufacturing, automobiles, finance, the energy sector, consumers, transportation, security, IT, and networks. The advent of Big Data as a field/domain/concept/theory/idea has made it possible to store, process, and analyze these large pools of data to get intelligent insight, and perform informed and calculated decisions. These decisions are driving the recommendations, growth, planning, and projections in all segments of the economy and that's why Big Data has taken the world by storm.

If we look at the trends in the IT industry, there was an era when people were moving from manual computation to automated, computerized applications, then we ran into an era of enterprise level applications. This era gave birth to architectural flavors such as SAAS and PaaS. Now, we are into an era where we have a huge amount of data, which can be processed and analyzed in cost-effective ways. The world is moving towards open source to get the benefits of reduced license fees, data storage, and computation costs. It has really made it lucrative and affordable for all sectors and segments to harness the power of data. This is making Big Data synonymous with low cost, scalable, highly available, and reliable solutions that can churn huge amounts of data at incredible speed and generate intelligent insights.

You have been reading a chapter from
Real-Time Big Data Analytics
Published in: Feb 2016
Publisher:
ISBN-13: 9781784391409
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