Learn IT - Books tags hbase

Pro Spark Streaming: The Zen of Real-Time Analytics Using Apache Spark

Apress, 2016

Learn the right cutting-edge skills and knowledge to leverage Spark Streaming to implement a wide array of real-time, streaming applications. This book walks you through end-to-end real-time application development using real-world applications, data, and code. Taking an application-first approach, each chapter introduces use cases from...

Next-Generation Big Data: A Practical Guide to Apache Kudu, Impala, and Spark

Apress, 2018

Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments with next-generation big data technologies.

Next-Generation Big Data takes a holistic approach, covering the most important aspects of modern enterprise big data. The book...

Pro Docker

Apress, 2015

In this fast-paced book on the Docker open standards platform for developing, packaging and running portable distributed applications, Deepak Vorha

discusses how to build, ship and run applications on any platform such as a PC, the cloud, data center or a virtual machine. He describes how to install and...

Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement

Pragmatic Bookshelf, 2012

It has been said that data is the new oil. If this is so, then databases are the fields, the refineries, the drills, and the pumps. Data is stored in databases, and if you’re interested in tapping into it, then coming to grips with the modern equipment is a great start.

Databases are...

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...

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....

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...

Real-World Hadoop

O'Reilly, 2015

If you’re a business team leader, CIO, business analyst, or developer interested in how Apache Hadoop and Apache HBase-related technologies can address problems involving large-scale data in cost-effective ways, this book is for you. Using real-world stories and situations, authors Ted Dunning and Ellen Friedman show Hadoop...

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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