Learn IT - Books tags hdfs

Big Data Analytics with R and Hadoop

Packt Publishing, 2013

If you're an R developer looking to harness the power of big data analytics with Hadoop, then this book tells you everything you need to integrate the two. You'll end up capable of building a data analytics engine with huge potential.

Overview

Write Hadoop MapReduce within R

Learn...

Pro Apache Hadoop

Apress, 2014

Pro Apache Hadoop, Second Edition brings you up to speed on Hadoop – the framework of big data. Revised to cover Hadoop 2.0, the book covers the very latest developments such as YARN (aka MapReduce 2.0), new HDFS high-availability features, and increased scalability in the form of HDFS Federations. All the old content has been...

Hadoop: The Definitive Guide

O'Reilly, 2015

Get ready to unlock the power of your data. With the fourth edition of this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop...

Hadoop Backup and Recovery solutions

Packt Publishing, 2015

Learn the best strategies for data recovery from Hadoop backup clusters and troubleshoot problems

About This Book

Learn the fundamentals of Hadoop's backup needs, recovery strategy, and troubleshooting

Determine common failure points, intimate HBase, and explore different backup...

Hadoop MapReduce v2 Cookbook Second Edition

Packt Publishing, 2015

Explore the Hadoop MapReduce v2 ecosystem to gain insights from very large datasets

About This Book

Process large and complex datasets using next generation Hadoop

Install, configure, and administer MapReduce programs and learn what's new in MapReduce v2

More than 90...

Practical Hadoop Migration: How to Integrate Your RDBMS with the Hadoop Ecosystem and Re-Architect Relational Applications to NoSQL

Apress, 2016

Re-architect relational applications to NoSQL, integrate relational database management systems with the Hadoop ecosystem, and transform and migrate relational data to and from Hadoop components. This book covers the best-practice design approaches to re-architecting your relational applications and transforming your relational data to...

Talend for Big Data

Packt Publishing, 2014

If you want to start working on big data projects fast, this is the guide you've been looking for. Delve deep into Talend and discover how just how easily you can revolutionize your data handling and presentation.

Overview

Write complex processing job codes easily with the help of clear and step by...

Big Data Analytics with Microsoft HDInsight in 24 Hours, Sams Teach Yourself

Sams Publishing, 2015

With Microsoft HDInsight, business professionals and data analysts can rapidly leverage the power of Hadoop on a flexible, scalable cloud-based platform, using Microsoft's accessible business intelligence, visualization, and productivity tools. Now, in just 24 lessons of one hour or less, you can learn all the skills and...

Big Data Analytics with Hadoop 3: Build highly effective analytics solutions to gain valuable insight into your big data

Packt Publishing, 2018

Explore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3

Key Features

Learn Hadoop 3 to build effective big data analytics solutions on-premise and on cloud

Integrate Hadoop with other big data tools such as R, Python, Apache...

Hadoop: The Definitive Guide

O'Reilly, 2009

Hadoop: The Definitive Guide helps you harness the power of your data. Ideal for processing large datasets, the Apache Hadoop framework is an open source implementation of the MapReduce algorithm on which Google built its empire. This comprehensive resource demonstrates how to use Hadoop to build reliable, scalable, distributed systems: programmers...

Programming Hive

O'Reilly, 2012

Programming Hive introduces Hive, an essential tool in the Hadoop ecosystem that provides an SQL (Structured Query Language) dialect for querying data stored in the Hadoop Distributed Filesystem (HDFS), other filesystems that integrate with Hadoop, such as MapR-FS and Amazon’s S3 and databases like HBase (the...

Hadoop Operations

O'Reilly, 2012

Over the past few years, there has been a fundamental shift in data storage, management, and processing. Companies are storing more data from more sources in more formats than ever before. This isn’t just about being a “data packrat” but rather building products, features, and intelligence predicated on knowing more about...

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