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How to Build the Most Efficient Hadoop Cluster and Fast Query Access

Join IBM and RainStor to learn how you can deploy a Hadoop cluster to efficiently manage your critical data and provide fast, flexible analytic access to keep your business users satisfied.

Watch the On-Demand Webcast at Your Convenience

Standard SQL, MapReduce or your favorite BI tools can all be used to gain insights from data running on IBM’s InfoSphere BigInsights Hadoop product in combination with RainStor’s database running natively on the HDFS and nodes. 

RainStor’s unique pattern de-duplication gives you 10 to 40 times data compression, which results in significantly less storage, less cost but more importantly, you speed up query results with built-in filtering capabilities. Solutions include a front-end hub where you store detailed data for pre-processing before sending to a data warehouse or offload from the warehouse to store detailed historical data for limitless time periods.

Join this interactive session and hear from experts who will present use-cases, best practices and details about how IBM and RainStor give you efficiency, ease-of-use and fast access at the lowest total cost.


About the Speakers:

Bruce Weed is the Program Director of Big Data Business Development Worldwide for the Information Management brand of the IBM Software Group. Mr. Weed has extensive experience in business development, sales and marketing. Additional skills and experience lie in product and brand management, operational strategy, IT strategy and software development.

Ramon Chen is the VP of Product Management at RainStor. Ramon has been developing, marketing and selling enterprise tools, applications and databases for over 20+ years. His current technical areas of interest and expertise include big data, Hadoop and Cloud.



Can you be Big and Fast?