Aster Data to Host Webinar on Next-Generation Dynamic Workload Management for Data Warehousing

“All That Glitters Is Not Gold” Webinar to Demystify Common Myths of Workload Management for Big Data Analytics

What: Dynamic mixed workload management is the key to getting the most value out of your data warehouse. It allows high user concurrency while providing predictable service levels across diverse workloads, and becomes even more important as the number of users and applications requiring ultra-fast, deep data analysis increases.

Advanced analytic systems that support dynamic workload management are great, but are you paying too much?  Besides the cost, are you aware of the key criteria for workload management to ensure that your data warehouse project is successful? Are you aware of new advances in workload management that are crucial to managing and analyzing larger data volumes? This educational webinar will answer these questions as well as address some of the common myths associated with dynamic mixed workload management.

By attending this webinar, you will learn how to:

  • Identify the key criteria for effective workload management
  • Provide predictable data management service levels to the business
  • Avoid replicating data and systems just to manage different workloads
  • Maintain high concurrency with mixed workloads cost-effectively

When: Thursday, January 14th at 11AM PST/2PM EST.

Who: Steve Wooledge, Senior Director of Product Marketing for Aster Data Walter Maguire, Workload Management and Data Warehousing Expert for Aster Data.

Where: To learn more and register for this live webinar, please visit: http://www.asterdata.com/wc_100112_workload_management/.

About Aster Data Systems
Aster Data is a proven leader in big data management and big data analysis for data-driven applications.  Aster Data’s nCluster is the first MPP data warehouse architecture that allows applications to be fully embedded within the database engine to enable ultra-fast, deep analysis of massive data sets. Aster Data's unique “applications-within™” approach allows application logic to exist and execute with the data itself. Termed a “Massively Parallel Data-Application Server”, Aster Data’s solution effectively utilizes Aster Data’s patent-pending SQL-MapReduce together with parallelized data processing and applications to address the big data challenge. Companies using Aster Data include Coremetrics, MySpace, Akamai, ShareThis, and Full Tilt Poker. Aster Data is headquartered in San Carlos, California and is backed by Sequoia Capital, JAFCO Ventures, IVP, and Cambrian Ventures, as well as industry visionaries including David Cheriton, Ron Conway, and Rajeev Motwani. For more information please visit http://www.asterdata.com, or call 650-232-4400.

Aster Data, Aster Data nCluster, the Aster logo and Applications-WithinTM are registered trademarks of Aster Data. All other brands and trademarks referenced herein are acknowledged to be trademarks or registered trademarks of their respective holders.

Press Contact:
Marlena Fernandez Berkowitz
ZAG Communications for Aster Data Systems

The Best Insights Possible
Whitepaper: A New Approach for Large-Scale Data Management and Data Analysis
Whitepaper: Deriving Deep Insights from Large Datasets
Research Report: MapReduce and the Data Scientist