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Grab some 
coffee and 
enjoy the 
pre-show 
banter 
before the 
top of the 
hour!
Business in the Driver’s Seat – An Improved Model for Integration 
The Briefing Room
Twitter Tag: #briefr 
The Briefing Room 
Welcome 
Host: 
Eric Kavanagh 
eric.kavanagh@bloorgroup.com 
@eric_kavanagh
! 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! 
Twitter Tag: #briefr 
The Briefing Room 
Mission
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
Twitter Tag: #briefr 
The Briefing Room 
ExTehcuet iGvere Sautm Dmivairdye 
• The IT/Biz Divide Must End 
• Agile, Not Waterfall 
• Iterating Must Be Easy 
• Collaboration is Mandatory
Twitter Tag: #briefr 
The Briefing Room 
Analyst: Robin Bloor 
Robin Bloor is 
Chief Analyst at 
The Bloor Group 
robin.bloor@bloorgroup.com 
@robinbloor
Twitter Tag: #briefr 
The Briefing Room 
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
Twitter Tag: #briefr 
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.
Mark Budzinski 
President 
WhereScape 
WhereScape 
Bloor Group Briefing Room 
Data Integration: 
It Can be Fast and Agile 
September 30, 2014
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
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
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
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
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”
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)
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
Some of Our Customers
“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
“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
“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
Summary 
WhereScape’s approach with data warehouse 
automation yields customer results that are 
stunning: faster, cheaper, and more manageable
Twitter Tag: #briefr 
The Briefing Room 
Perceptions & Questions 
Analyst: 
Robin Bloor
ETL or a Jumble of 
Pipes? 
Robin Bloor, PhD
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…
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
What Does Big Data Mean to the D/W?
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
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
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?
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?
Twitter Tag: #briefr 
The Briefing Room
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
Twitter Tag: #briefr 
THANK YOU 
for your 
ATTENTION! 
Opening slide image courtesy of Wikimedia Commons 
The Briefing Room

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Business in the Driver’s Seat – An Improved Model for Integration

  • 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! Twitter Tag: #briefr 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
  • 6. Twitter Tag: #briefr The Briefing Room ExTehcuet iGvere Sautm Dmivairdye • The IT/Biz Divide Must End • Agile, Not Waterfall • Iterating Must Be Easy • Collaboration is Mandatory
  • 7. Twitter Tag: #briefr The Briefing Room Analyst: Robin Bloor Robin Bloor is Chief Analyst at The Bloor Group robin.bloor@bloorgroup.com @robinbloor
  • 8. Twitter Tag: #briefr The Briefing Room 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
  • 9. Twitter Tag: #briefr 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
  • 23. Twitter Tag: #briefr The Briefing Room 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
  • 34. Twitter Tag: #briefr THANK YOU for your ATTENTION! Opening slide image courtesy of Wikimedia Commons The Briefing Room