new horizons, new possibilities: the future of data virtualization

New Horizons, New Possibilities: The Future of Data Virtualization Data Virtualization Day 2014

Robert Eve, Cisco

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Welcome to our Conversation

Rick van der Lans

R20/Consultancy BV

Barry Devlin9sight Consulting

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Data Virtualization Through the Looking Glass

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Rick F. van der LansRick F. van der Lans is an independent consultant, lecturer, and author. He specializes in data warehousing, business intelligence and data virtualization. He is managing director of R20/Consultancy B.V, an advisory firm working with both enterprises and vendors.

His popular IT books, such as Introduction to SQL, have been translated into many languages and have sold over 100,000 copies. Rick also writes for the B-eye-Network and TechTarget.

For the last 25 years, he has been presenting at international events around the globe.

In 2012, Rick published Data Virtualization for Business Intelligence Systems.

www.r20.nl rick@r20.nl

Twitter: @rick_vanderlansLinkedIn: http://www.linkedin.com/pub/rick-van-der-lans/9/207/223

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Barry Devlin Dr. Barry Devlin is a founder of the data warehousing industry and among the foremost authorities worldwide on business intelligence (BI) and beyond. He is a widely respected consultant, lecturer and author of the seminal “Data Warehouse—from Architecture to Implementation”. His new book, “Business unIntelligence—Insight and Innovation Beyond Analytics and Big Data” was published in October 2013.

Barry has 30 years of experience in the IT industry, previously with IBM, as an architect, consultant, manager and software evangelist.

As founder and principal of 9sight Consulting (www.9sight.com), Barry provides strategic consulting and thought-leadership to buyers and vendors of BI solutions. He is currently developing new architectural models for fully consistent business support—from informational to operational and collaborative work.

Based in Cape Town, South Africa, Barry’s knowledge and expertise are in demand both locally and internationally.

www.9sight.combarry@9sight.com

Twitter: @BarryDevlin

HSBCLeveraging Legacy with Big Data

Alasdair Anderson

FlextronicsData as a Service for Global Supply Chain Operations

Practical Implementation Advice

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Data Vault and Reporting

Reporting and Analytics

productiondatabases

stagingarea

DVEDW

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Flexibility is Gone!

Datastore

DatastoreData

store

Datastore

DatastoreData

store

Datastore

Datastore

stagingarea

DVEDW

productiondatabases

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Flexibility through Data Virtualization

DataVirtualization

Server

productiondatabases

stagingarea

DVEDW

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Solution with Data Virtualization

OperationalSystems

Data VaultEDW

SupernovaLayer

Extended Supernova Layer

Data DeliveryLayer

PDB PDB PDB PDB

Data virtualization

Data storage

Data Vault

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Solution with Data Virtualization: DV2

SupernovaLayer

Extended Supernova Layer

Data DeliveryLayer

Users andReports

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Information pillars and the need for virtualization.

Information pillars– Diverse storage and processing

matched to business needs

Reification (making the abstract real)– A consistent, cross-pillar view of info.

according to an overarching model and access to it in real-time

– Virtualization

Assimilation– Creation of reconciled and consistent

information sets prior to business use

Instantiation– Representing measures, events and

messages as info. instances– ETL, file access and more

Transactions

Reification

Human-sourced

(information)

Machine-generated

(data)

Process-mediated

(data)

Context-setting (information)

Assimilation

Transactional(data)

Events Messages

Instantiation

Measures

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Context-setting information is a new way of looking at metadata.

Metadata is two four-letter words!– Information (not data)– Describes all “stuff” (not just data)– Indistinguishable from “business information”

by non-IT people (and some IT people)– Many (or most) metadata projects fail

Context-setting information (CSI)– New image– Describes what it is and does– Context-setting information provides the background to each piece of

information, to every process component and to all the people that constitute the business

– Every piece of information adds context to something else; it is all context setting

The Mars Climate Orbiter, lost in 1999, at a cost of $325M, due to metadata error

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Cisco Business Directory

New Possibilities, New Horizons

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Many organizations today continue to have two partially dysfunctional decision support systems.

Formal system – BI / DW– Center-out model– Provides consistent, quality

data– Focused on production– Innovation obstructed by lack

of agility

Informal system – spreadsheets– Edge-on model– Individual innovation– Unmanaged proliferation– Difficult to make consistent

production

Garner

Condition

Utilize

Decision / Action

Event

Iterate

IT Garner

Utilize

Decision / Action

Event

Iterate Innovate

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The adaptive decision cycle supports innovation at the edge and control at the centre.

Exploring (E)– Business analysts perform

highly innovative work– Peer input and review

Cultivating (C)– Peer-reviewed work used

by a wider group– Viral take-up and review

Grounding (G)– Promotion to corporate use– Audited and assured by IT

Key role of social networking IT involved only in final step!

Garner

Condition

Utilize

Decision / Action

Event

Iterate Innovate

E

E

CG

CG

G

G

E

E

Your Vision of Data Virtualization’s Future

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The Network

SystemA

SystemB

Network

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The Network

SystemA

SystemB

Network

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The Network

SystemA

SystemB

Network

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The Network

SystemA

SystemB

Network

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The Network

SystemA

SystemB

Network

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The Network

SystemA

SystemB

Network

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28© 2014 Cisco and/or its affiliates. All rights reserved.Big Data is Too Big To Move

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Data generated by day is more thancan be moved across the network.

Network will look like this…

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Data Virtualization Server

Three Key Takeaways

Thank you.

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