Unifying Hadoop and IBM PureData System for AnalyticsNew: IBM Fluid Query 1.5

1 Wikibon.org - Hadoop Market is Expected to Reach USD 20.9 Billion Globally in 2018: Transparency Market Research - bit.ly/FDQ_wikibon2 IBM Institute for Business Value, Analytics: The speed advantage, Why data-driven organizations are winning the race in today’s marketplace, October 17, 2014 - bit.ly/IBV_2015 3 2014 Analytics Market Survey, research note, Nucleus Research, September, 2014. - bit.ly/FDQ_Nucleus4 "Predicts 2014: Why You Should Modernize Your Information Infrastructure", November 28, 2013. Gartner.

© Copyright IBM Corporation 2015. IBM, the IBM logo, DB2, dashDB and ibm.com are trademarks of IBM Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the Web at “Copyright and trademark information” at www.ibm.com/legal/copytrade.shtml.

WAJ12383-USEN-01

Learn more about this exciting new technology: ibm.biz/FluidQueryBrief

It’s no secret that data is exploding—especially unstructured and other new data types. Yet, the value in data is from the insights gained.

IBM® PureData™ System for Analytics™ is an ideal environment for fast, structured queries. IBM Fluid Query extends this capability by querying Hadoop, Spark and other database sources from the data warehouse.

It lets you perform tasks on the platform best suited for the workload. And you can store infrequently accessed data in Hadoop or other sources to extend the data warehouse.

of big data implementations will augment, not replace, existing data warehouses4

billion USDglobally by 20181

PureData System for Analytics with Fluid Query connects queries to Hadoop and other data sources for richer insights

Four key functions of Fluid Query: • Execute Hadoop or Spark queries from PureData System for Analytics• Merge data from PureData with DB2®, dashDB or Oracle. • Rapidly move data from PureData to Hadoop and vice versa • Analyze data stored in different systems from a single query

What can you do with Fluid Query?

How does Fluid Query enable the Logical Data Warehouse?

Hadoop is an ideal platform for multiple data types and large data volumes as part of a Logical Data Warehouse (LDW). Fluid Query connects your PureData production data warehouse to Hadoop, Spark and traditional databases for better insights, across ALL of your data.

• Discover insights in different data sources, then operationalize the insights in PureData• Perform historical analyses of current and past data• Move data rapidly to manage capacity and resource utilization in the data warehouse

of IBM IBV study participants anticipate the speed at which executives expect new insight will continue to accelerate2

ROI is 13.01 for every dollar (USD) spend on analytics3

Analytics are critical to today’s business success

$20.970%

90%The Hadoop market will reach

$13.01ROI

And through 2020, over

Hadoop and other data sources augment the data warehouse

PureDataHadoopOther

sources