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The Death of the Enterprise Data Warehouse f EDW in memory or Paul Groom
contentious …early in stating change
Parallels in History Even the indomitable succumb
Pioneer Explorers Adventurers s rs urers
Settlers Builders Engineers Establish Consolidate Define
Lots of EDW variety
…the status quo
EDW = Store + Analyze but…
EDW says no or not now!
Fear of new data… …cost of yet more data
Why? Issues around: Capacity Cost Flexibility Innovation
Disappointment leads to Disagreationgg
necessity or serendipity?
Wild West Data
EDW says No! How many events just occurred, were captured and now require analysis? Hadoop says Yes!
Business does not want to build its software ecosystem all over again Fear Interfere
Hadoop too slow for interactive BI! …loss of train-of-thought
Its those pesky disks again!
Flash is not the solution
Analytics requires CPU and RAM In-memory Processing
Store and AnalyzeAnalyzeStore
BI governance Centrally defined data models Persist data in natural store Fetch when needed, agile Analytical power
Accelerator for… EDW – analytics stress relief Hadoop – BI analytics
…discovery again The new data pioneers big
“It’s not EDW growing pains, it’s the early onset of old age!” So?
connect kognitio.com kognitio.tel kognitio.com/blog twitter.com/kognitio linkedin.com/companies/kognitio tinyurl.com/kognitio youtube.com/user/kognitiowx2 contact Michael Hiskey VP, Marketing & Business Development firstname.lastname@example.org Paul Groom Chief Innovation Officer email@example.com
SQL on Hadoop Paul Groom RAM not Disk. create external script LM_PRODUCT_FORECAST environment rsint receives ( SALEDATE DATE, DOW INTEGER, ROW_ID INTEGER,
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Introduction to Kognitio 06 January 2012 Michael Hiskey Vice President, Marketing and Business Development Sachin Sangtani Senior Technical Consultant.
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What we know or see What’s actually there Wikipedia : In information technology, big data is a collection of data sets so large and complex that it.
A NEW PLATFORM FOR A NEW ERA. 2 Pivotal Confidential–Internal Use Only 2 The Pivotal Big Data Suite.
1 1 Apache Hadoop and the Emergence of the Enterprise Data Hub Eli Collins, Chief Technologist ©2014 Cloudera, Inc. All rights reserved.
An agile big data analytic engine. The BigObject: What and Why? to analyze big data on real-time basis Mission an agile analytic engine which stores and.
Computer Hardware Sources: Discovering Computers Information & Software technology.
Bleeding edge technology to transform Data into Knowledge HADOOP In pioneer days they used oxen for heavy pulling, and when one ox couldn’t budge a log,
© 2012 IBM Corporation Converting Big Data into Big Knowledge.
Copyright c 2004 OSIsoft Inc. All rights reserved. Visualizing Performance Management Managing Information with RtPortal Gregg Le Blanc - OSIsoft Brian.
SM STRATA PRESENTATION Tim Garnto - SVP Engineering, edo Interactive Rob Rosen – Big Data Field Lead, Pentaho.
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Information Explosion. Reality: New Machine-Generated Data Non-relational and relational data outside of the EDW † Source: Analytics Platforms – Beyond.
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Am I RAM Or am I ROM?.
User Landscape n Business Analysts n Consumers Executives, Line Managers, Brand Managers, Account Managers, Business Partners At HQ, home office, on site,
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