Aster Data Announces New Analytics Center and Launches www.mapreduce.org to Ease and Accelerate Adoption of MapReduce-Based Analytics

All-Star Team of Analytics Experts and MapReduce.org to Help Companies Build Next Generation Analytic Applications Using SQL-MapReduce and MapReduce Breakthroughs

Las Vegas, NV - April 12, 2010 - Gartner Business Intelligence Summit – Aster Data, a proven leader dedicated to providing the best data management and processing platform for big data volumes and analytics-intensive applications, today unveiled the Aster Analytics Center to help customers accelerate development of advanced analytic applications. Simultaneously, Aster Data also launched the first multi-author destination site for enterprise and government organizations, systems integrators, ISVs, and developers who want to build competency on the MapReduce analytics processing framework and related MapReduce frameworks. www.mapreduce.org offers research, education, analysis, customer use cases, key learnings, and tips for anyone interested in understanding the analytical value of MapReduce and related frameworks such as SQL-MapReduce. The new Aster Analytics Center provides product offerings, services, a world-class team, and an elite ecosystem of partners to develop and deliver data-driven applications that use SQL and MapReduce.

www.mapreduce.org is designed to be a key destination for companies who want to understand and build skills around MapReduce, SQL-MapReduce, and related MapReduce technologies. It includes content from those developing data-intensive applications with MapReduce and related MapReduce frameworks such as SQL-MapReduce, as well as insights from industry analysts, customers, and vendors who are leveraging this technology popularized by Google to build next-generation analytic applications. Any industry, enterprise organization, government agency, or expert can contribute content to this site.

Wayne Eckerson, director for TDWI Research and author of the recent article titled Launching an Analytics Practice: 10 Steps to Success, said, “Companies today need experts who can help them accelerate delivery of next-generation, data-driven applications. To run deep analytics on big data requires understanding the analytical capabilities of new database technology, including knowledge of MapReduce and parallel processing requirements.”

Today’s news includes key additions to the Aster Data team. Jonathan Goldman, director of analytics for Aster Data, is responsible for the new Aster Analytics Center, which includes product offerings such as the recently announced Aster Analytics Foundation—a suite of ready-to-use analytics functions and best practices for building advanced analytic applications that involve large data volumes and many diverse data sources. Prior to joining Aster Data he was a principal scientist at LinkedIn, where he led a team of analytics researchers to build cutting-edge products with the rich data sets LinkedIn collected. He created the popular “People You May Know” product for LinkedIn, and developed and supported computationally-intensive and targeted content throughout the site including “Who Viewed My Profile,” the “Similar Jobs” function, and “Similar Members” function, among others. Goldman earned a PhD in physics from Stanford University and a bachelors of science in physics from MIT.

Nitin Donde, Executive Vice President of Engineering for Aster Data, is a seasoned executive with a proven track record of delivering commercially successful enterprise products on diverse platforms. He has a broad range of experience leading engineering teams at both early stage startups and mature companies with multi-billion dollar revenues. Most recently he was the vice president of engineering at EMC. Prior to his time with EMC, Donde was vice president of engineering and customer service for Intransa, a privately held startup that builds network-centric scalable IP SAN. Donde earned an M.B.A. from the Haas School of Management, University of California, Berkeley. He has a Master of Science degree in computer science from University of Wisconsin-Madison and a Bachelor of Science degree in electrical engineering from the Indian Institute of Technology in Bombay, India.

“As part of our mission to help customers benefit from the information and trends buried in their data, we are hiring the best and brightest to help us enable organizations to gain deeper business insights from their data with advanced analytics,” said Mayank Bawa, CEO of Aster Data. “We are pleased to have Nitin Donde lead our Engineering and Jonathan Goldman lead our new Analytics Center. Both have stellar backgrounds and extend Aster Data’s deep expertise in advanced analytic applications on big data, and will also be important contributors to www.mapreduce.org.”

Aster Data is the first massively-parallel data warehouse architecture that allows analytic applications to be fully embedded inside the system, allowing advanced data analysis on terabytes to petabytes of data. This 'advanced in-database analytics' breakthrough coupled with Aster Data's innovations in data warehousing such as dynamic mixed workload management, one-click scaling, online backup, and data compression, has accelerated demand for Aster Data's solution across organizations struggling with managing and analyzing vast amounts of data. Aster Data’s advanced in-database analytics are enabled by Aster Data’s patent-pending SQL-MapReduce framework that combines MapReduce with the familiarity of SQL—making it far easier for companies to leverage the powerful MapReduce framework for high-performance, unlimited-scale analytics on very large data sets. Aster Data's customers span financial services, retail, telecommunications, government agencies, and internet companies who use Aster Data's nCluster solution for their advanced analytic applications on big data.

About Aster Data
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’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, Full Tilt Poker, and ShareThis. 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 1.888.Aster.Data.

Aster Data, Aster Data nCluster, the Aster logo and Applications-Within™ 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
ZAG Communications for Aster Data

The Best Insights Possible
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