Learn IT - Books tags hive

Data Warehousing in the Age of Big Data (The Morgan Kaufmann Series on Business Intelligence)

Morgan Kaufmann, 2013

Web 2.0 has changed the way we conduct business, interact with customers, share information with friends and family, measure success in terms of business revenue and customer wallet share, and define brand management, and, most importantly, it has created a revenue channel like none other. Whether you plan your vacation, buy the newest...

Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset

Apress, 2014

Many corporations are finding that the size of their data sets are outgrowing the capability of their systems to store and process them. The data is becoming too big to manage and use with traditional tools. The solution: implementing a big data system.

As Big Data Made Easy: A Working...

HDInsight Essentials

Packt Publishing, 2013

Tap your unstructured Big Data and empower your business using the Hadoop distribution from Windows

Overview

Architect a Hadoop solution with a modular design for data collection, distributed processing, analysis, and reporting

Build a multi-node Hadoop cluster on Windows servers

...

Hadoop Real World Solutions Cookbook

Packt Publishing, 2013

Ever felt you could use some no-nonsense, practical help when developing applications with Hadoop? Well, you've just found it. This real-world solutions cookbook is packed with handy recipes you can apply to your own everyday issues.

Overview

Solutions to common problems when working in the Hadoop...

Field Guide to Hadoop: An Introduction to Hadoop, Its Ecosystem, and Aligned Technologies

O'Reilly, 2015

If your organization is about to enter the world of big data, you not only need to decide whether Apache Hadoop is the right platform to use, but also which of its many components are best suited to your task. This field guide makes the exercise manageable by breaking down the Hadoop ecosystem into short, digestible sections....

Apache Hive Essentials: Essential techniques to help you process, and get unique insights from, big data, 2nd Edition

Packt Publishing, 2018

This book takes you on a fantastic journey to discover the attributes of big data using Apache Hive.

Key Features

Grasp the skills needed to write efficient Hive queries to analyze the Big Data

Discover how Hive can coexist and work with other tools within the Hadoop...

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...

Learning Cloudera Impala

Packt Publishing, 2013

Perform interactive, real-time in-memory analytics on large amounts of data using the massive parallel processing engine Cloudera Impala

Overview

Step-by-step guidance to get you started with Impala on your Hadoop cluster

Manipulate your data rapidly by writing proper SQL statements

...

Hadoop: The Definitive Guide

Yahoo Press, 2010

Discover how Apache Hadoop can unleash the power of your data. This comprehensive resource shows you how to build and maintain reliable, scalable, distributed systems with the Hadoop framework -- an open source implementation of MapReduce, the algorithm on which Google built its empire. Programmers will find details for analyzing...

Microsoft SQL Server 2012 with Hadoop

Packt Publishing, 2013

With the explosion of data, the open source Apache Hadoop ecosystem is gaining traction, thanks to its huge ecosystem that has arisen around the core functionalities of its distributed file system (HDFS) and Map Reduce. As of today, being able to have SQL Server talking to Hadoop has become increasingly important because the two are indeed...

Processing Big Data with Azure HDInsight: Building Real-World Big Data Systems on Azure HDInsight Using the Hadoop Ecosystem

Apress, 2017

Get a jump start on using Azure HDInsight and Hadoop Ecosystem components. As most Hadoop and Big Data projects are written in either Java, Scala, or Python, this book minimizes the effort to learn another language and is written from the perspective of a .NET developer. Hadoop components are covered, including Hive, Pig, HBase, Storm,...

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...

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