Programming Hive by Dean Wampler

Page Updated:
Book Views: 31

Author
Dean Wampler
Publisher
Date of release
Pages
0
ISBN
0
Binding
Illustrations
Format
PDF, EPUB, MOBI, TXT, DOC
Rating
4
37

Advertising

Get eBOOK
Programming Hive

Find and Download Book

Click one of share button to proceed download:
Choose server for download:
Download
Get It!
File size:6 mb
Estimated time:4 min
If not downloading or you getting an error:
  • Try another server.
  • Try to reload page — press F5 on keyboard.
  • Clear browser cache.
  • Clear browser cookies.
  • Try other browser.
  • If you still getting an error — please contact us and we will fix this error ASAP.
Sorry for inconvenience!
For authors or copyright holders
Amazon Affiliate

Go to Removal form

Leave a comment

Book review

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


Readers reviews

Opening Hours

Contact Information