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Big Data & Energy Efficiency ephen Dillon, Data Architect, Technology Strategy [email protected] May. 02. 2013

S dillon mtlc 5-02-2013

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Page 1: S dillon   mtlc 5-02-2013

Big Data & Energy Efficiency

Stephen Dillon, Data Architect, Technology Strategy

[email protected]

May. 02. 2013

Page 2: S dillon   mtlc 5-02-2013

Schneider Electric 2- Technology Strategy - Stephen Dillon – 2013

BIG DATAVolume, Velocity, Variety

Page 3: S dillon   mtlc 5-02-2013

Schneider Electric 3- Technology Strategy - Stephen Dillon – 2013

Energy Efficiency

Needs

Real-time Analytics

Cloud

Technologies (NoSQL & NewSQL)

The Cloud is the new data center.

One size does not fit all!

Memory is the new disk.

In Support of Big Data & Energy Efficiency

Page 4: S dillon   mtlc 5-02-2013

Schneider Electric 4- Technology Strategy - Stephen Dillon – 2013

Supporting Energy Efficiency

●You have had the technologies to provide batch processing and analytics on historical data. You just need to go do it.

● Examples include Hadoop, Map Reduce, Amazon EC2, Windows Azure

●You need to leverage Real-time analytics and technologies under the NewSQL umbrella.

● In-memory database systems such as VoltDB

Page 5: S dillon   mtlc 5-02-2013

Schneider Electric 5- Technology Strategy - Stephen Dillon – 2013

I.M.D.B.S. Today

●In-memory Database Systems have been around for decades in analytics systems.

● Supported column-stores only● Non-OLTP or non-row-based

●Only recently has it become feasible to support OLTP in-memory.

●New breed of IMDBS designed to leverage advances in main memory● ACID compliant

●We can now store entire Terabyte level databases in main memory.

Page 6: S dillon   mtlc 5-02-2013

Schneider Electric 6- Technology Strategy - Stephen Dillon – 2013

Trends & Expectations●Real-time analytics

● On-demand energy needs this to reach the next level of sustainability and efficiency

● What took hours or days can be done in minutes or less

●Trend is to push computations toward the data...not vice versa.

●Software designers can now create solutions not previously possible.● Those innovations are taking place today.

●End users will be able to react quickly per what is really happening; not what happened a month ago.

●We understand; if the demand\response window shrinks, energy efficiency & savings are gained.

Page 7: S dillon   mtlc 5-02-2013

Schneider Electric 7- Technology Strategy - Stephen Dillon – 2013

No “I” in Big Data…oh wait a minute

Page 8: S dillon   mtlc 5-02-2013

Schneider Electric 8- Technology Strategy - Stephen Dillon – 2013

PANELISTSIntroductions