HDInsight Essentials - Second Edition Rajesh Nadipalli

ISBN:

Published: January 14th 2015

Paperback

150 pages


Description

HDInsight Essentials - Second Edition  by  Rajesh Nadipalli

HDInsight Essentials - Second Edition by Rajesh Nadipalli
January 14th 2015 | Paperback | PDF, EPUB, FB2, DjVu, AUDIO, mp3, ZIP | 150 pages | ISBN: | 5.76 Mb

Learn how to build and deploy a modern big data architecture to empower your business About This Book Learn how to quickly provision a Hadoop cluster using Windows Azure Cloud Services Build an end-to-end application for a big data problem using openMoreLearn how to build and deploy a modern big data architecture to empower your business About This Book Learn how to quickly provision a Hadoop cluster using Windows Azure Cloud ServicesBuild an end-to-end application for a big data problem using open source softwareDiscover more about modern data architecture with this guide, to help you understand the transition from legacy relational Enterprise Data WarehouseWho This Book Is For If you want to discover one of the latest tools designed to produce stunning Big Data insights, this book features everything you need to get to grips with your data.

Whether you are a data architect, developer, or a business strategist, HDInsight adds value in everything from development, administration, and reporting.What You Will Learn Explore core features of Hadoop, including the HDFS2 and YARN, the new resource manager for HadoopBuild your HDInsight cluster in minutes and learn how to administer it using Azure PowerShellDiscover whats new in Hadoop 2.X and the reference architecture for a modern data lake based on HadoopFind out more about a data lake vision and its core capabilitiesIngest and organize your data into HDInsightUtilize open source software to transform data including Hive, Pig, and MapReduce, and make it available for decision makersGet to grips with architectural considerations for scalability, maintainability, and securityIn Detail Traditional relational databases are today ineffective with dealing with the challenges presented by Big Data.

A Hadoop-based architecture offers a radical solution, as it is designed specifically to handle huge sets of unstructured data.This book takes you through the journey of building a modern data lake architecture using HDInsight, a Hadoop-based service that allows you to successfully manage high volume and velocity data in the Microsoft Azure Cloud.

Featuring a wealth of practical examples, youll find tips and techniques to provision your own HDInsight cluster to ingest, organize, transform, and analyze data.While guided through HDInsight, youll explore the wider Hadoop ecosystem with plenty of working examples on Hadoop technologies including Hive, Pig, MapReduce, HBase, Storm, and analytics solutions including using Excel PowerQuery, PowerMap, and PowerBI.



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