the death of the enterprise data warehouse

The Death of the Enterprise Data Warehouse

f EDWin memory or

Paul Groom

contentious…early in stating change

Parallels in HistoryEven the indomitable succumb

PioneerExplorersAdventurers

s rs urers

SettlersBuildersEngineers

EstablishConsolidateDefine

Lots of EDW variety

…the status quo

EDW = Store + Analyze

but…

analytical workload

EDW says no or not now!

Fear of new data… …cost of yet more data

Why?Issues around: Capacity Cost Flexibility Innovation

Infrastructure

Disappointment leads toDisa gre ationg g

DATAdata

necessity or serendipity?

Wild WestData

EDW says No!

How many events just occurred, were captured and now require analysis?

Hadoop says Yes!

Fear

Business does not want to build its software ecosystem all over again

FearInterfere

Hadoop too slow for interactive BI!

…loss of train-of-thought

Its those pesky disks again!

StorageProcessor

Flash is not the solution

Analytics requires CPU and RAM

In-memory Processing

Store and Analyze

AnalyzeStore

StoreStore

BI governanceCentrally defined data modelsPersist data in natural storeFetch when needed, agile

Analytical power

Accelerator for…EDW – analytics stress relief

Hadoop – BI analytics

…discovery againThe new data pioneers

big

“It’s not EDW growing pains,it’s the early onset of old age!”

So?

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contact

Michael HiskeyVP, Marketing & Business Developmentmichael.hiskey@kognitio.com

Paul GroomChief Innovation Officerpaul.groom@kognitio.com