Apache Cassandra™ 1.0: Ready for the Enterprise.

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