A01=Ellen Friedman
A01=Ted Dunning
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Author_Ellen Friedman
Author_Ted Dunning
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Category1=Non-Fiction
Category=UNC
Category=UNF
Category=UY
COP=United States
data big data hadoop nosql hbase
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eq_nobargain
eq_non-fiction
Language_English
PA=Available
Price_€20 to €50
PS=Active
softlaunch
Product details
- ISBN 9781491922668
- Weight: 166g
- Dimensions: 157 x 229mm
- Publication Date: 12 May 2015
- Publisher: O'Reilly Media
- Publication City/Country: US
- Product Form: Paperback
- Language: English
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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.
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 University of Sheffield. When he's not doing data science, he plays guitar and mandolin. Ted is on Twitter at @ted_dunning.
