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Dunning, Ted : Apache Drill

Apache Drill is a significant new tool in the Hadoop ecosystem that enables users to execute queries in a Hadoop cluster and get results quickly. This practical book provides a first touch introduction to Drill and its ability to handle large files containing data in flexible formats with nested data structures and tables.

Developers and analysts with moderate technical skills will learn the basics of installing and running Drill, and advanced users will understand how incorporate the framework into complex programs, such as using Drill queries to replace some of the MapReduce operations in a large-scale program.

  • Gain a basic understanding of how Apache Drill works and what it helps you do
  • Get a complete language reference to Drill
  • Learn the use cases that make the most sense for Drill
  • Use a detailed technical reference for extending the framework


Autor Dunning, Ted / Friedman, Ellen / Shiran, Tomer
Verlag Oreilly Media
Einband Kartonierter Einband (Kt)
Erscheinungsjahr 2017
Seitenangabe 200 S.
Meldetext Fremdlagertitel. Lieferzeit unbestimmt
Ausgabekennzeichen Englisch

Apache Drill is a significant new tool in the Hadoop ecosystem that enables users to execute queries in a Hadoop cluster and get results quickly. This practical book provides a first touch introduction to Drill and its ability to handle large files containing data in flexible formats with nested data structures and tables.

Developers and analysts with moderate technical skills will learn the basics of installing and running Drill, and advanced users will understand how incorporate the framework into complex programs, such as using Drill queries to replace some of the MapReduce operations in a large-scale program.

  • Gain a basic understanding of how Apache Drill works and what it helps you do
  • Get a complete language reference to Drill
  • Learn the use cases that make the most sense for Drill
  • Use a detailed technical reference for extending the framework


Fr. 40.90
Verfügbarkeit: Am Lager
ISBN: 978-1-4493-6204-1
Verfügbarkeit: Fremdlagertitel. Lieferzeit unbestimmt

Über den Autor Dunning, Ted

Ted Dunning is Chief Application Architect at MapR Technologies and committer and PMC member for the Apache Mahout project. He contributing to the Mahout clustering, classification and matrix decomposition algorithms. He was the chief architect behind the MusicMatch (now Yahoo Music) and Veoh recommendation systems, and built fraud detection systems for ID Analytics.

Ellen Friedman is an experienced writer with a doctorate in biochemistry. In addition to a research career, she has written on a wide range of scientific and technical topics including molecular biology, medicine and earth science.

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