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Architecting HBase Applications (Paperback): Jean-Marc Spaggiari, Kevin O'Dell Architecting HBase Applications (Paperback)
Jean-Marc Spaggiari, Kevin O'Dell
R954 R732 Discovery Miles 7 320 Save R222 (23%) Ships in 12 - 19 working days

Lots of HBase books, online HBase guides, and HBase mailing lists/forums are available if you need to know how HBase works. But if you want to take a deep dive into use cases, features, and troubleshooting, Architecting HBase Applications is the right source for you. With this book, you'll learn a controlled set of APIs that coincide with use-case examples and easily deployed use-case models, as well as sizing/best practices to help jump start your enterprise application development and deployment. Learn design patterns-and not just components-necessary for a successful HBase deployment Go in depth into all the HBase shell operations and API calls required to implement documented use cases Become familiar with the most common issues faced by HBase users, identify the causes, and understand the consequences Learn document-specific API calls that are tricky or very important for users Get use-case examples for every topic presented

Getting Started with Kudu - Perform Fast Analytics on Fast Data (Paperback): Jean-Marc Spaggiari, Mladen Kovacevic, Brock... Getting Started with Kudu - Perform Fast Analytics on Fast Data (Paperback)
Jean-Marc Spaggiari, Mladen Kovacevic, Brock Noland, Ryan Bossheart
R1,173 R875 Discovery Miles 8 750 Save R298 (25%) Ships in 12 - 19 working days

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

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