A01=Brock Noland
A01=Jean-Marc Spaggiari
A01=Mladen Kovacevic
A01=Ryan Bosshart
A01=Ryan Bossheart
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Author_Brock Noland
Author_Jean-Marc Spaggiari
Author_Mladen Kovacevic
Author_Ryan Bosshart
Author_Ryan Bossheart
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Category1=Non-Fiction
Category=UNF
COP=United States
Delivery_Delivery within 10-20 working days
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Kudu Apache Kudu Hadoop fast data streaming data analytics SQL Impala queries reads Hadoop architecture inserts real-time analytics HDFS HBase columnar scans
Language_English
PA=Available
Price_€20 to €50
PS=Active
softlaunch
Product details
- ISBN 9781491980255
- Dimensions: 178 x 233mm
- Publication Date: 28 Feb 2018
- Publisher: O'Reilly Media
- Publication City/Country: US
- Product Form: Paperback
- Language: English
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Get up to speed with Apache Kudu, the column-oriented data store for Hadoop that not only provides an architectural simplification of several existing use cases, but also allows use cases not possible before. With this practical guide, enterprise architects working on big data implemetations will learn how Kudu’s architecture and features solve a unique problem in the Hadoop ecosystem. For example, Kudu makes Hadoop viable for real-time IoT use cases in addition to making a transition from a massively parallel processing (MPP) SQL database engine plausible.
If you’re familiar with other storage layer projects such HDFS, HBase, Spanner, and Cassandra, you’ll quickly learn—and appreciate—the unique contribution Kudu makes to this ecosystem.
Explore how Kudu is compatible with data processing frameworks in the Hadoop environment
Understand Kudu's architecture, internals, installation, and deployment
Learn how to fully administer a Kudu cluster
Become acquainted with low-level client APIs, how to integrate with SQL engines like Impala, and frameworks for integration
Learn about table and schema design
Get use cases, examples, best practices, and sample code
