Asia Pacific University Library catalogue


Practical Hive : a guide to Hadoop's data warehouse system / Scott Shaw, Andreas François Vermeulen, Ankur Gupta, David Kjerrumgaard.

By: Shaw, ScottContributor(s): Vermeulen, Andreas François | Gupta, Ankur | Kjerrumgaard, DavidMaterial type: TextTextPublication details: [Berkeley, CA] : Apress [2016]Description: xxi, 265 p. : ill. ; 26 cmISBN: 9781484202722 (pbk.); 1484202724 (pbk.)Subject(s): Apache Hadoop | Data warehousingDDC classification: 005.74/5 LOC classification: QA76.9.D37 | S53 2016
Contents:
Setting the stage for Hive: Hadoop -- Introducing Hive -- Hive architecture -- Hive tables DDL -- Data manipulation language (DML) -- Loading data into Hive -- Querying semi-structured data -- Hive analytics -- Performance tuning : Hive -- Hive security -- The future of Hive.
Summary: "Authors take you through learning HiveQL, the SQL-like language specific to Hive, to analyze, export, and massage the data stored across your Hadoop environment. From deploying Hive on your hardware or virtual machine and setting up its initial configuration to learning how Hive interacts with Hadoop, MapReduce, and other big data technologies, Practical Hive gives you a detailed treatment of the software. In addition, the latter portion of the book includes detailed, real-world case studies grounded in everyday Hive deployments that will show you how others have coaxed the most out of their Hive data warehouses."--
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Includes index.

Setting the stage for Hive: Hadoop -- Introducing Hive -- Hive architecture -- Hive tables DDL -- Data manipulation language (DML) -- Loading data into Hive -- Querying semi-structured data -- Hive analytics -- Performance tuning : Hive -- Hive security -- The future of Hive.

"Authors take you through learning HiveQL, the SQL-like language specific to Hive, to analyze, export, and massage the data stored across your Hadoop environment. From deploying Hive on your hardware or virtual machine and setting up its initial configuration to learning how Hive interacts with Hadoop, MapReduce, and other big data technologies, Practical Hive gives you a detailed treatment of the software. In addition, the latter portion of the book includes detailed, real-world case studies grounded in everyday Hive deployments that will show you how others have coaxed the most out of their Hive data warehouses."--

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