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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?
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