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Programming Hive: Data Warehouse and Query Language for Hadoop

Name: Programming Hive: Data Warehouse and Query Language for Hadoop
Price: 1.35 USD
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Book Synopsis: Need to move a relational database application to Hadoop? This comprehensive guide introduces you to Apache Hive, Hadoop’s data warehouse infrastructure. You’ll quickly learn how to use Hive’s SQL dialect—HiveQL—to summarize, query, and analyze large datasets stored in Hadoop’s distributed filesystem. This example-driven guide shows you how to set up and configure Hive in your environment, provides a detailed overview of Hadoop and MapReduce, and demonstrates how Hive works within the Hadoop ecosystem. You’ll also find real-world case studies that describe how companies have used Hive to solve unique problems involving petabytes of data. Use Hive to create, alter, and drop databases, tables, views, functions, and indexes. Customize data formats and storage options, from files to external databases. Load and extract data from tables—and use queries, grouping, filtering, joining, and other conventional query methods. Gain best practices for creating user defined functions (UDFs). Learn Hive patterns you should use and anti-patterns you should avoid. Integrate Hive with other data processing programs. Use storage handlers for NoSQL databases and other datastores. Learn the pros and cons of running Hive on Amazon’s Elastic MapReduce. Read more.

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Looking to migrate your relational database application to Hadoop? Look no further than Programming Hive: Data Warehouse and Query Language for Hadoop. This comprehensive guide equips you with all the tools you need to master Apache Hive - Hadoop's data warehouse infrastructure. With its intuitive SQL dialect, HiveQL, you can effortlessly summarize, query, and analyze massive datasets stored in Hadoop's distributed filesystem. From setup to configuration, this example-driven guide walks you through every step, while providing a deep dive into Hadoop and MapReduce. Discover how companies have leveraged Hive to tackle unique challenges involving petabytes of data.

Unlock the full potential of Hive as you learn to create, alter, and drop databases, tables, views, functions, and indexes. With Hive's flexibility, you can customize data formats and storage options, ranging from files to external databases. Load and extract data seamlessly, and harness the power of queries, grouping, filtering, joining, and other conventional query methods. With best practices for creating user-defined functions (UDFs) and essential patterns to follow, you'll be equipped with the knowledge to optimize your Hive workflows and avoid common pitfalls.

Experience the true strength of Hive by integrating it with other data processing programs. Whether you want to use storage handlers for NoSQL databases or explore other datastores, Hive provides the necessary flexibility for seamless integration. Wondering about Hive's compatibility with Amazon's Elastic MapReduce? Dive into the pros and cons of running Hive in this environment to make an informed decision for your business.

Don't miss out on this opportunity to become a Hive expert. Take your data analysis game to the next level with Programming Hive: Data Warehouse and Query Language for Hadoop. Harness the power of Hadoop's distributed filesystem and transform your business insights with HiveQL. Get started today!

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