Real-World Hadoop

Real-World Hadoop

Real-World Hadoop

Real-World Hadoop

Paperback

$24.99 
  • SHIP THIS ITEM
    Qualifies for Free Shipping
  • PICK UP IN STORE
    Check Availability at Nearby Stores

Related collections and offers


Overview

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
  • Explore real-world stories that reveal how MapR customers combine use cases when putting Hadoop and NoSQL to work, including in production

Product Details

ISBN-13: 9781491922668
Publisher: O'Reilly Media, Incorporated
Publication date: 04/12/2015
Pages: 104
Product dimensions: 5.90(w) x 8.80(h) x 0.40(d)

About the Author

Ted Dunning is Chief Applications Architect at MapR Technologies and active in the open source community, being a committer and PMC member of the Apache Mahout, Apache ZooKeeper, and Apache Drill projects, and serving as a mentor for the Storm, Flink, Optiq, and Datafu Apache incubator projects. He has contributed to Mahout clustering, classification, matrix decomposition algorithms, and the new Mahout Math library, and recently designed the t-digest algorithm used in several open source projects.



Ted was the chief architect behind the MusicMatch (now Yahoo Music) and Veoh recommendation systems, built fraud-detection systems for ID Analytics (LifeLock), and has 24 issued patents to date. Ted has a PhD in computing science from Universityof Sheffield. When he’s not doing data science, he plays guitar and mandolin. Ted is on Twitter at @ted_dunning.

Ellen Friedman is a solutions consultant and well-known speaker and author, currently writing mainly about big data topics. She is a committer for the Apache Mahout project and a contributor to the Apache
Drill project. With a PhD in Biochemistry from Rice University, she has years of experience as a research scientist and has written about a variety of technical topics including molecular biology, nontraditional inheritance, oceanography, and large-scale computing. Ellen is also co-author of a book of magic-themed cartoons, A Rabbit Under the
Hat. Ellen is on Twitter at @Ellen_Friedman.
From the B&N Reads Blog

Customer Reviews