There is so much focus around big data but the truth be known that the vast majority of data used in big data projects reside in databases such as DB2.  Transactional systems form the back bone of data warehouses from which business analytics solutions analyze information.  But who has the best solutions, what requirements should a customer look for in a solution and vendor?

Watch the highlights from "Transforming big data into insights" : An independent consultant’s perspective" June 24, 2014, 11:00am EDT by clicking here  http://bit.ly/QlXOlG

Guest speaker, analyst and founder of Intelligent Business Strategies -  Mike Ferguson - Writes in his paper :
"The characteristics of Big Data, create a unique set of requirements that need to be met to analyse it. These include:
*Support for the following big data analytical workloads over and above that supported in a traditional data warehouse
*Complex analysis of structured data
*Analysis of data in motion
*Exploratory analysis of un-modeled multi-structured data
*Graph analytics
*Accelerating ETL and analytical processing of un-modeled data
to enrich data in a data warehouse or analytical appliance
*The long term storage and selective re-processing of archived
data (including data warehouse data)"

Join us for this webcast as Mike reveals the requirement to turn big data into real, tangible insight. and receive his full white paper for free.

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