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Apache Sqoop Cookbook
Apache Sqoop Cookbook
It’s been four years since, via a post to the Apache JIRA, the first version of Sqoop was released to the world as an addition to Hadoop. Since then, the project has taken several turns, most recently landing as a top-level Apache project. I’ve been amazed at how many people use this small tool for a...
NoSQL For Dummies
NoSQL For Dummies

Get up to speed on the nuances of NoSQL databases and what they mean for your organization

This easy to read guide to NoSQL databases provides the type of no-nonsense overview and analysis that you need to learn, including what NoSQL is and which database is right for you. Featuring specific evaluation criteria for NoSQL databases,...

Enterprise Data Workflows with Cascading
Enterprise Data Workflows with Cascading

There is an easier way to build Hadoop applications. With this hands-on book, you’ll learn how to use Cascading, the open source abstraction framework for Hadoop that lets you easily create and manage powerful enterprise-grade data processing applications—without having to learn the intricacies of MapReduce.

...
Pig Design Patterns
Pig Design Patterns

Simplify Hadoop programming to create complex end-to-end Enterprise Big Data solutions with Pig

Overview

  • Quickly understand how to use Pig to design end-to-end Big Data systems
  • Implement a hands-on programming approach using design patterns to solve commonly occurring enterprise Big Data...
Pro Microsoft HDInsight: Hadoop on Windows
Pro Microsoft HDInsight: Hadoop on Windows

Pro Microsoft HDInsight is a complete guide to deploying and using Apache Hadoop on the Microsoft Windows Azure Platforms. The information in this book enables you to process enormous volumes of structured as well as non-structured data easily using HDInsight, which is Microsoft’s own distribution of Apache Hadoop....

Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples
Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples
Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as...
PySpark Recipes: A Problem-Solution Approach with PySpark2
PySpark Recipes: A Problem-Solution Approach with PySpark2
Quickly find solutions to common programming problems encountered while processing big data. Content is presented in the popular problem-solution format. Look up the programming problem that you want to solve. Read the solution. Apply the solution directly in your own code. Problem solved!

Pro Couchbase Development: A NoSQL Platform for the Enterprise
Pro Couchbase Development: A NoSQL Platform for the Enterprise

Pro Couchbase Development: A NoSQL Platform for the Enterprise discusses programming for Couchbase using Java and scripting languages, querying and searching, handling migration, and integrating Couchbase with Hadoop, HDFS, and JSON. It also discusses migration from other NoSQL databases like MongoDB.

This book is for big...

Apache Mahout Cookbook
Apache Mahout Cookbook

A fast, fresh, developer-oriented dive into the world of Mahout

Overview

  • Learn how to set up a Mahout development environment
  • Start testing Mahout in a standalone Hadoop cluster
  • Learn to find stock market direction using logistic regression
  • Over 35 recipes with...
Hadoop: The Definitive Guide
Hadoop: The Definitive Guide
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...
Beginning Apache Spark 2: With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library
Beginning Apache Spark 2: With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library
Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it.

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Data Just Right: Introduction to Large-Scale Data & Analytics (Addison-Wesley Data & Analytics Series)
Data Just Right: Introduction to Large-Scale Data & Analytics (Addison-Wesley Data & Analytics Series)

Making Big Data Work: Real-World Use Cases and Examples, Practical Code, Detailed Solutions

 

Large-scale data analysis is now vitally important to virtually every business. Mobile and social technologies are generating massive datasets;...

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