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Item Details
Title: REAL-WORLD HADOOP
By: Ted Dunning, Ellen Friedman
Format: Paperback

List price: £19.99
Our price: £18.99
Discount:
5% off
You save: £1.00
ISBN 10: 1491922664
ISBN 13: 9781491922668
Availability: Usually dispatched within 1-3 weeks.
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Stock: Currently 0 available
Publisher: O'REILLY MEDIA, INC, USA
Pub. date: 8 May, 2015
Pages: 104
Description: Using real-world stories and situations, the authors show how NoSQL databases and Hadoop can solve a variety of business and research issues. They help you to learn about early decisions and pre-planning that can make the process easier and more productive.
Synopsis: 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 newcomers and seasoned users alike how NoSQL databases and Hadoop can solve a variety of business and research issues. You'll learn about early decisions and pre-planning that can make the process easier and more productive. If you're already using these technologies, you'll discover ways to gain the full range of benefits possible with Hadoop. While you don't need a deep technical background to get started, this book does provide expert guidance to help managers, architects, and practitioners succeed with their Hadoop projects.Examine a day in the life of big data: India's ambitious Aadhaar project; review tools in the Hadoop ecosystem such as Apache's Spark, Storm, and Drill to learn how they can help you; pick up a collection of technical and strategic tips that have helped others succeed with Hadoop; learn from several prototypical Hadoop use cases, based on how organizations have actually applied the technology.You can explore real-world stories that reveal how MapR customers combine use cases when putting Hadoop and NoSQL to work, including in production.
Illustrations: colour illustrations
Publication: US
Imprint: O'Reilly Media, Inc, USA
Returns: Returnable
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PRACTICAL MACHINE LEARNING
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PRACTICAL MACHINE LEARNING: A NEW LOOK AT ANOMALY DETECTION
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PRACTICAL MACHINE LEARNING: A NEW LOOK AT ANOMALY DETECTION
PRACTICAL MACHINE LEARNING: A NEW LOOK AT ANOMALY DETECTION (PB)
REAL-WORLD HADOOP
REAL-WORLD HADOOP
REAL-WORLD HADOOP
SHARING BIG DATA SAFELY
SHARING BIG DATA SAFELY
SHARING BIG DATA SAFELY
SHARING BIG DATA SAFELY (PB)
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