Apache Cassandra™ 1.0: Ready for the Enterprise.

Jonathan Ellis (DataStax)
Sponsored Sessions
Location: Murray Hill Suite B

The Apache Cassandra database has added many new enterprise features this year based on the real-world needs of companies like Twitter, Netflix, Openwave, and others building massively scalable systems.

Apache Cassandra addresses a wide variety of real-time big data needs. Capable of tracking transactions in financial markets or the actions of millions of users in massively multiplayer games, Cassandra handles the demands of large volume applications and data streams. Whether it’s storing billions of emails or backing up terabytes of files, Cassandra can store large amounts of data and scale near-infinitely. In today’s information age, Cassandra excels at storing and serving massive amounts of data at low-latency – from geolocation data to server performance metrics, and more.

This talk will cover the motivation and use cases behind features such as secondary indexes, Hadoop integration, SQL support, bulk loading, and more.

Introduction

  • The shift to real time data driven applications and what that means * Why Cassandra is ideal for today’s enterprise data applications

Recap: Cassandra through 2010

  • Bulletproof reliability * Best-in-class support for multiple datacenters * High-performance storage engine based on Bigtable

New in Cassandra 1.0

  • Dynamic column indexes * Distributed counters for realtime analytics * CQL/SQL and JDBC support * Bulk loading * Off-heap allocation for GC performance * Hadoop support and Briskc

This session is sponsored by DataStax

Photo of Jonathan Ellis

Jonathan Ellis

DataStax

Jonathan is CTO and co-founder at DataStax. Prior to DataStax, Jonathan worked extensively with Apache Cassandra while employed at Racksace. Prior to Rackspace, Jonathan built a multi-petabyte, scalable storage system based on Reed-Solomon encoding for backup provider Mozy. In addition to his work with DataStax, Jonathan is project chair of Apache Cassandra.

Sponsors

  • Aster Data
  • EMC Greenplum
  • GE
  • Lexis Nexis
  • MarkLogic
  • Tableau Software
  • Cloudera
  • DataStax
  • Informatica
  • DataSift
  • Splunk
  • Amazon Web Services
  • Datameer
  • Impetus
  • Karmasphere
  • MapR Technologies
  • Pervasive
  • Platform Computing
  • Revolution Analytics
  • Sybase
  • Xeround
  • Media-Science
  • Platfora

Sponsorship Opportunities

For information on sponsorship opportunities at the conference, contact Susan Stewart at sstewart@oreilly.com

Press & Media

For media-related inquiries, contact Maureen Jennings at maureen@oreilly.com

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