Programming Hive Author: Edward Capriolo | Language: English | ISBN:
1449319335 | Format: EPUB
Programming Hive Description
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
- Paperback: 352 pages
- Publisher: O'Reilly Media; 1 edition (October 3, 2012)
- Language: English
- ISBN-10: 1449319335
- ISBN-13: 978-1449319335
- Product Dimensions: 9.2 x 7.1 x 0.8 inches
- Shipping Weight: 1.2 pounds (View shipping rates and policies)
Well written, good book. However how fast Hive/hadoop is moving, I think this book will be out of data (already is in parts) soon. I'm assuming they'll come out with updated v2 of the book in the future.
By D. Zanter
It's a great resource, and remains on my desk; however it already feels outdated (bought in October 2012.) There are many commands and functions that aren't in this book for whatever reason.
Still, a great start - the floodgates should be open to Hive reference material!
By Anthony D. Rindone
Programming Hive Preview
Link
Please Wait...