Performance Management for Big Data Apps
  • Products
    • Features Overview
    • Driven Enterprise
    • Cascading Project
  • Solutions
    • Use Cases
      • Performance Monitoring
      • Troubleshooting and Debugging
      • Performance Analytics
      • Data Lineage and Reporting
      • Application Development
    • Technology
      • Apache Hive
      • MapReduce
      • Cascading / Scalding
      • Apache Spark
  • Resources
    • Webinars
    • Documentation
    • Whitepapers
    • Videos
    • Solution Comparison Guide
  • Company
    • Newsroom
    • Events
  • Community
    • Customers
    • Partners
  • Blog

Twitter Uses Cascading to Vastly Simplify MapReduce Development

SHARE: Facebooktwittergoogle_pluslinkedinmail

Twitter’s programmers speed Hadoop development
To analyze enormous volumes of metadata and messages, Twitter turned to Hadoop — plus the Cascading framework to vastly simplify MapReduce development.

SHARE: Facebooktwittergoogle_pluslinkedinmail
This entry was posted in News on January 31, 2013.

Post navigation

← Concurrent Launches Cascading 2.1 Introducing Lingual – Open Source ANSI SQL For Hadoop →

Related Posts

Follow Us

Facebooktwittergoogle_pluslinkedinyoutube
Xplenty, Inc.
580 California Street
San Francisco, CA 94104
Phone
(415)-670-9496
Sales and Support
customersupport@driven.io

© 2008-2016 Xplenty, Inc. All rights reserved. Privacy Policy

Facebooktwittergoogle_pluslinkedinyoutube