Real-World Hadoop
(Sprache: Englisch)
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...
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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
* Explore real-world stories that reveal how MapR customers combine use cases when putting Hadoop and NoSQL to work, including in production
Autoren-Porträt von Ted Dunning, Ellen Friedman
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.
Bibliographische Angaben
- Autoren: Ted Dunning , Ellen Friedman
- 104 Seiten, Maße: 15,1 x 22,8 cm, Kartoniert (TB), Englisch
- Verlag: O'Reilly Media
- ISBN-10: 1491922664
- ISBN-13: 9781491922668
- Erscheinungsdatum: 21.04.2015
Sprache:
Englisch
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