zaterdag 14 mei 2011

[M925.Ebook] Fee Download HDInsight Essentials, by Rajesh Nadipalli

Fee Download HDInsight Essentials, by Rajesh Nadipalli

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HDInsight Essentials, by Rajesh Nadipalli

HDInsight Essentials, by Rajesh Nadipalli



HDInsight Essentials, by Rajesh Nadipalli

Fee Download HDInsight Essentials, by Rajesh Nadipalli

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HDInsight Essentials, by Rajesh Nadipalli

In Detail

We live in an era in which data is generated with every action and a lot of these are unstructured; from Twitter feeds, Facebook updates, photos and digital sensor inputs. Current relational databases cannot handle the volume, velocity and variations of data. HDInsight gives you the ability to gain the full value of Big Data with a modern, cloud-based data platform that manages data of any size and type, whether structured or unstructured.

A hands-on guide that shows you how to seamlessly store and process Big Data of all types through Microsoft’s modern data platform; which provides simplicity, ease of management, and an open enterprise-ready Hadoop service all running in the Cloud. You will then learn how to analyze your Hadoop data with PowerPivot, Power View, Excel, and other Microsoft BI tools; thanks to integration with the Microsoft data platform, this will give you a solid foundation to build your own HDInsight solution, both on premise and on Cloud.

Firstly, we will provide an overview of Hadoop and Microsoft Big Data strategy, where HDinsight plays a key role. We will then show you how to set up your HDInsight cluster and take you through the 4 stages of collecting, processing, analysing and reporting. For each of these stages, you will see a practical example with working code.

You will then learn core Hadoop concepts like HDFS and MapReduce. You will also get a closer look at how Microsoft’s HDInsight leverages Hortonworks Data Platform that uses Apache Hadoop. You will then be guided through Hadoop commands and programming using open source software, such as Hive and Pig with HDInsight. Finally, you will learn to analyze and report using PowerPivot, Power View, Excel, and other Microsoft BI tools.

This guide provides step-by-step instructions on how to build a Big Data solution using HDInsight with open source software, provide useful Excel reports, and open up the full value of HDInsight.

Approach

This book is a fast-paced guide full of step-by-step instructions on how to build a multi-node Hadoop cluster on Windows servers.

Who this book is for

If you are a data architect or developer who wants to understand how to transform your data using open source software, such as MapReduce, Hive, Pig and JavaScript, and also leverage the Windows infrastructure; this book is perfect for you. It is also ideal if you are part of a team who is starting or planning a Hadoop implementation, and you want to understand the key components of Hadoop, and how HDInsight provides added value in administration and reporting.

  • Sales Rank: #1774175 in eBooks
  • Published on: 2013-09-23
  • Released on: 2013-09-23
  • Format: Kindle eBook

About the Author

Rajesh Nadipalli

Rajesh Nadipalli has over 17 years of IT experience and held a technical leadership position at Cisco Systems. His key focus areas have been in Data Management, Enterprise Architecture, Business Intelligence, Data Warehousing and Extract Transform Load (ETL). He has demonstrated success by delivering scalable data management and BI solutions that empower business to make informed decisions.

In his current role as a Senior Solutions Architect at Zaloni; Raj evaluates Big Data goals for his clients, recommends a target state architecture, assists in proof of concepts and prepares them for a production implementation. In addition, Raj is an instructor for Hadoop for Developers, Hive, Pig and Hbase. His clients include Verizon, American Express, Netapp, Cisco, EMC and United Health Group.

Rajesh Nadipalli holds a MBA from NC State University and a BS in EE from University of Mumbai, India.

Most helpful customer reviews

1 of 1 people found the following review helpful.
OK to begin with !!
By Amit Sharma
I did not had time to go through the all the chapters. The initial chapters discuss about general big data need and available Hadoop distributions. Next chapters define how to deploy HDInsight and HDInsight Cluster Adminstration..

Have some examples added and content is followed along those line.

0 of 0 people found the following review helpful.
Quick starter on HDInsight
By shailendra sharma
Book is an excellent resource for any beginner on HDInsight but you need prior experience on Hadoop to better use it. Author begins with high level overview of Hadoop ecosystem, HDInsight overview and installation details. Author very well covers high level integration aspects on Azure Cloud services using very well captured screenshots. Book is full with relevant examples and screenshot to help you familiarize with HDInsight and related areas quickly. Author did not go too deep or shallow to cover required topic, just balanced combination of text , screenshots and references makes experienced person to understand concepts easily. Recommend this book for experienced people looking for quick starters on HDInsight.

Some of the features are outdated and must be updated in this book. I expected few detailed chapters to cover analysis, management and code examples using .net framework to add more value to book.

1 of 1 people found the following review helpful.
Already outdated
By Amazon Customer
PacktPub, in favor of being the first is missing out on being the best. This book does not sever you any purpose. It does not go in depth about:
1. Automated Provisioning
2. HDInsight Emulator
3. Different options to write map reduce jobs and pros/cons of each
4. The management website that this book helps you navigate is no longer available in 2.1 - it has been replaced by powershell

Either update the book or pull it out of the amazon store.

See all 5 customer reviews...

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