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An Introduction to Data Science.
Applied Data Science. Big Data Now: Big Data on Real-World Applications.
Building Data Science Teams. Disruptive Possibilities: How Big Data Changes Everything. Foundations of Data Science.
Hadoop and Kerberos: The Madness Beyond the Gate. Hadoop illuminated.
10 Best eBooks on Hadoop
Hadoop with Python. Results of the LOD2 Project. Planning for Big Data: Practical Data Analysis - Transform, model, and visualize your data through hands-on projects, developed in open source tools. R Programming for Data Science.
Toggle navigation FreeTechBooks. Big Data Management of massive volume of both structured and unstructured data that is so large it is difficult to process using traditional database and software techniques.
All categories Follow Books under this sub-category 18 books.
An Introduction to Data Science Post date: Publication date: However, similarly to the cookbooks, the lessons in this book are short and categorized. MapReduce Design Pattern. If you have been asked to maintain large and complex Hadoop clusters, this book is a must. Hadoop Operations.
Programming Hive. Readers will become more familiar with a wide variety of Hadoop-related tools and best practices for implementation. This book will give readers the examples they need to apply the Hadoop technology to their own problems.
Hadoop Real World solutions CookBook. Just drop in your details and our corporate support team will reach out to you as soon as possible.
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Just drop in your details and start downloading material just created for you. Pro Hadoop This book is a concise guide to getting started with Hadoop and getting the most out of your Hadoop clusters.
Pro Hadoop 2. Programming Pig This book is an ideal learning reference for Apache Pig, the open source engine for executing parallel data flows on Hadoop. Programming Pig 3.
ISBN 13: 9789351197577
Professional Hadoop Solutions 4. Apache sqoop cookbook This book is a user guide for using Apache Sqoop.
Apache sqoop cookbook 5. Hadoop MapReduce Cookbook 6. The Definitive Guide, 2nd Edition This comprehensive guide shows you how to build and maintain reliable, scalable, distributed systems with Hadoop framework.
The Definitive Guide, 2nd Edition 7. MapReduce Design Pattern 8.
Hadoop Operations If you have been asked to maintain large and complex Hadoop clusters, this book is a must.
Hadoop Operations 9. Programming Hive Talk to our experts. Related links you will like: Previous MapReduce Programming.
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It is part of the Apache open source project sponsored by the Apache Software Foundation. The Definitive Guide.
It focuses more on the statistics edge, while also teaching readers some basic programming skill. Learn more about site Prime.