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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

Product type Paperback

Published in Feb 2016

Publisher

ISBN-13 9781784391409

Length 326 pages

Edition 1st Edition

Languages

Java

Tools

Apache Spark

Concepts

Big Data

Author (1):

Shilpi Saxena

View More author details

Table of Contents (12) Chapters

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

Who this book is for

If you are a Big Data architect, developer, or a programmer who wants to develop applications or frameworks to implement real-time analytics using open source technologies, then this book is for you. This book is aimed at competent developers who have basic knowledge and understanding of Java or Scala to allow efficient programming of core elements and applications.

If you are reading this book, then you probably are familiar with the nuisances and challenges of large data or Big Data. This book will cover the various tools and technologies available for processing and analyzing streaming data or data arriving at high frequency in real or near real-time. It will cover the paradigm of in-memory distributed computing offered by various tools and technologies such as Apache Storm, Spark, Kinesis, and so on.

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Authors (1)

Shilpi Saxena

Shilpi Saxena

Shilpi Saxena is an IT professional and also a technology evangelist. She is an engineer who has had exposure to various domains (machine to machine space, healthcare, telecom, hiring, and manufacturing). She has experience in all the aspects of conception and execution of enterprise solutions. She has been architecting, managing, and delivering solutions in the Big Data space for the last 3 years; she also handles a high-performance and geographically-distributed team of elite engineers. Shilpi has more than 12 years (3 years in the Big Data space) of experience in the development and execution of various facets of enterprise solutions both in the products and services dimensions of the software industry. An engineer by degree and profession, she has worn varied hats, such as developer, technical leader, product owner, tech manager, and so on, and she has seen all the flavors that the industry has to offer. She has architected and worked through some of the pioneers' production implementations in Big Data on Storm and Impala with autoscaling in AWS. Shilpi has also authored Real-time Analytics with Storm and Cassandra (https://www.packtpub.com/big-data-and-business-intelligence/learning-real-time-analytics-storm-and-cassandra) with Packt Publishing.

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