1. Grab some
coffee and
enjoy the
pre-show
banter
before the
top of the
hour!

2. Business in the Driver’s Seat – An Improved Model for Integration
The Briefing Room

3. Twitter Tag: #briefr
The Briefing Room
Welcome
Host:
Eric Kavanagh
eric.kavanagh@bloorgroup.com
@eric_kavanagh

4. ! Reveal the essential characteristics of enterprise
software, good and bad
! Provide a forum for detailed analysis of today’s innovative
technologies
! Give vendors a chance to explain their product to savvy
analysts
! Allow audience members to pose serious questions... and
get answers!
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The Briefing Room
Mission

5. This Month: INTEGRATION & DATA FLOW
October: ANALYTIC PLATFORMS
November: DISCOVERY & VISUALIZATION
Twitter Tag: #briefr
The Briefing Room
Topics
2014 Editorial Calendar at
www.insideanalysis.com/webcasts/the-briefing-room

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The Briefing Room
ExTehcuet iGvere Sautm Dmivairdye
• The IT/Biz Divide Must End
• Agile, Not Waterfall
• Iterating Must Be Easy
• Collaboration is Mandatory

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Analyst: Robin Bloor
Robin Bloor is
Chief Analyst at
The Bloor Group
robin.bloor@bloorgroup.com
@robinbloor

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WhereScape
! WhereScape is a data warehousing software company
! It offers WhereScape 3D, software for planning and reality-testing
data warehousing and business intelligence projects;
and WhereScape RED, an integrated development
environment used for building, deploying and managing
data warehouses and data marts.
! WhereScape RED allows developers to automate the data
warehousing life cycle

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The Briefing Room
Guest: Mark Budzinski
Mark Budzinski is the President of WhereScape.
In this role, Mark sees firsthand the challenges
that IT organizations face and their desire to
better serve the business community with
agile, rapid development of data warehouses
and related data driven projects. His career has
spanned management positions at Intel,
Sequent Computer Systems, RadiSys, and
Applied Microsystems. He holds an MBA from
the Univ. of Oregon, a Master’s Degree in
Computer Science from the University of
Southern California, a BS in Industrial
Engineering from Lehigh University, and is a
graduate of The Buckley School of Public
Speaking.

10. Mark Budzinski
President
WhereScape
WhereScape
Bloor Group Briefing Room
Data Integration:
It Can be Fast and Agile
September 30, 2014

11. Let’s Talk About the Elephant in the Room
¡ IT has its hands full
¡ New data sources abound
¡ The business employs all
kinds of tricks to work
around IT
¡ We hide the whole mess in
human capital
¡ Consultants (hand coding)
¡ Politics
¡ Excuses

12. WhereScape: What We Believe
The historical record that “data warehouses
take too long to build and are too hard to
change” must evolve to a paradigm whereby
IT delivers value continuously, manages
ongoing changes cost effectively, and
mitigates risk throughout

13. WhereScape: What We Believe
¡ Getting the data right is critically important, yet business users
can seldom articulate what they want until they see it
¡ Business users/consumers of data must be served at their pace
¡ Automate as much of the process as possible
¡ Standards matter
¡ Document everything; later changes demand it

14. ETL Is Not The Same Thing As…
Move Data
Transform Data
Load Data
From Sources including
OLTP, files, Hadoop, etc.
Create Database Objects
such as Models, Views,
Facts, Dimensions, Indexes
Documentation

15. WhereScape Value Proposition
¡ We empower IT organizations to build, deploy, and manage their
data in a timeframe and manner that creates utter enthusiasm in
the business community
¡ Time to results dramatically decreases - faster
¡ Costs decrease: license and human capital - cheaper
¡ Quality is higher: documentation & transparency - better
¡ Risk is mitigated: automation & methodology – with confidence
By automating development, you get more from your “data investment”

16. Data Warehouse Automation Software: RED
RED is an Automated Data
Warehouse Development
Platform That Builds Native
Target Database Objects,
Documents Them, And
Schedules Data To Be
Loaded. RED Works Well
With ETL Tools, or as an
ELT Solution Using Native
Loaders (e.g. Teradata TPT)

17. Automation Use Cases
End-to-End
Data Warehouse
Development
Tool
Including All ETL
Complement to
Enterprise ETL, Used
For Rapid/Agile
Build Out of a View
or Semantic Layer
Green
Field
Clean Up
Hand-Written
Code and Scripts
Manage
Deployments
Rewrite & Recast
Heterogeneous
Database
Solutions
Big Data
Integration
ELT 2.0
Configuration
Management
Semantic
Layer

18. Some of Our Customers

19. “WhereScape RED’s tight integration with the target database and
built-in best practices are empowering our resource-constrained
development team to tackle a large implementation that will enable us to
quickly deliver value to our institution and members.”
Su Rayburn, Director of Business Intelligence Services

20. “Our results using WhereScape have been extremely impressive.
WhereScape enabled us to design, develop, document and deploy a
production-ready solution in 6-8 weeks. Using traditional data
warehouse development methods would have taken us 6-8 months.
Ryan Fenner, VP, Data Solutions Architect, Union Bank

21. “We estimate the development lifecycle is 20-25% of
what it was previously when we were hand coding.”
Dan Mosher, Director of Enterprise Data Warehousing

22. Summary
WhereScape’s approach with data warehouse
automation yields customer results that are
stunning: faster, cheaper, and more manageable

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Perceptions & Questions
Analyst:
Robin Bloor

24. ETL or a Jumble of
Pipes?
Robin Bloor, PhD

25. In the Era of Big Data
u More data has become
available:
• Via social media
• From public sources
• From commercial sources
• From log files
• From unstructured sources
• Through better data harvesting
u And it is arriving faster!!
u And users expect it to be
available faster…

26. Data Flow – The New Reality
u A good deal of the new data is EXTERNAL to the
business
u This means that the data warehouse is becoming
LARGER AND MORE COMPLEX
u It also means more need for DEFINING AND
REFINING the data before it hits the warehouse
u MANAGING the data flow itself has become a
necessity – better to avoid ETL spaghetti

27. What Does Big Data Mean to the D/W?

28. The Data Warehouse Challenges…
u The data flow and data
warehouse architecture cannot
be completely separate.
u Data ingest is a far bigger
problem than it once was
u The data model changes far more
often
u Data warehouse construction and
maintenance are more difficult
and more time consuming

29. Data Warehouse Automation
At the moment data warehouse
creation and maintenance is often a
MANUAL activity
It is becoming TOO COMPLEX to remain
a manual activity

30. u It is clear (to me) how RED can have a big impact
in creating a new data warehouse. How can it be
used if you already have a DW and simply want to
improve its operation?
u Does RED “play well with others?” Which
databases/ETL products does it work with?
u What do you see as the sweet spot for RED? What
size of company/size of problem?

31. u What does RED actually compete with? Are
there other products that do end-to-end DW
Building & Maintenance?
u Does RED “go large?” In respect of scale, what is
your largest implementation of RED by data
volumes?
u How do you complement/work with Hadoop?
u Does RED help with data mart creation &
maintenance?

32. Twitter Tag: #briefr
The Briefing Room

33. This Month: INTEGRATION & DATA FLOW
October: ANALYTIC PLATFORMS
November: DISCOVERY & VISUALIZATION
www.insideanalysis.com/webcasts/the-briefing-room
Twitter Tag: #briefr
The Briefing Room
Upcoming Topics
2014 Editorial Calendar at
www.insideanalysis.com

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THANK YOU
for your
ATTENTION!
Opening slide image courtesy of Wikimedia Commons
The Briefing Room