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 open source software
Discover more about modern data architecture with this guide, to help you understand the transition from legacy relational Enterprise Data Warehouse

Who 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 Hadoop
Build your HDInsight cluster in minutes and learn how to administer it using Azure PowerShell
Discover what's new in Hadoop 2.X and the reference architecture for a modern data lake based on Hadoop
Find out more about a data lake vision and its core capabilities
Ingest and organize your data into HDInsight
Utilize open source software to transform data including Hive, Pig, and MapReduce, and make it available for decision makers
Get to grips with architectural considerations for scalability, maintainability, and security

In 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, you'll find tips and techniques to provision your own HDInsight cluster to ingest, organize, transform, and analyze data.

While guided through HDInsight, you'll 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.

Rese�a del editor

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.

Anbieterinformationen

Zur Homepage des Verk�ufers

Unternehmensdaten des Verk�ufers

WRAP Ltd
Unit 4, 119 Loverock Rd, Reading, RG30 1DZ, United Kingdom

Gesch�ftsbedingungen und Versandinformationen

Verkaufsbedingungen

TBA

Versandbedingungen

Shipping costs are based on books weighing 2.2 LB, or 1 KG. If your book order is heavy or oversized, we may contact you to let you know extra shipping is required.