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Grab some coffee and enjoy 
the pre-show banter before 
the top of the hour!
The Right Data Warehouse: Automation Now, Business Value Thereafter 
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
Twitter Tag: #briefr 
The Briefing Room 
Topics 
This Month: BIG DATA 
May: DATABASE 
June: ANALYTICS & MACHINE LEARNING 
2014 Editorial Calendar at 
www.insideanalysis.com/webcasts/the-briefing-room
“ The first rule of any technology used 
in a business is that automation 
applied to an efficient operation 
will magnify the efficiency. The 
second is that automation applied to 
an inefficient operation will magnify 
the inefficiency. -Bill Gates 
“
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 
USA. 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 Univ. of Southern 
California, a BS in Industrial Engineering from 
Lehigh Univ., and is a graduate of The Buckley 
School of Public Speaking.
Mark Budzinski 
President 
WhereScape USA, Inc. 
WhereScape 
Bloor Group Briefing 
Big Data: Are We There Yet? 
April 1, 2014
So What Problem Are We Trying to Solve, Again? 
¡ Big data = new insights from new sources to answer old 
questions 
¡ Hadoop is a fabulous new technology, not a religion 
¡ Business value is *still* where the holy grail is found 
¡ Connecting *all* data, in the right form to the business 
constituency at the pace the business needs it…isn’t *that* the 
problem worth solving?
Eh, Do You See That Animal Over There? 
¡ IT has its hands full 
¡ ETL has we know it, isn’t 
helpful 
¡ The business employs all 
kinds of tricks to work 
around IT 
¡ We hide the whole mess 
in human capital 
¡ Consultants 
¡ Politics 
¡ Excuses
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 
¡ 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
Some of Our Customers
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
“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
The Right Data Warehouse: Automation Now, Business Value Thereafter
Is the Data Warehouse Dead? 
u It’s all about data flow 
u The number of data sources is increasing 
dramatically; some (like the weather) don’t 
directly relate to corporate data entities 
u Inconvenient data structures (documents, text, 
etc.) make a single database engine an 
impossibility 
u No database product can handle the scale 
required
Is the Data Warehouse Dead? 
u It’s all about data flow, and there needs to be a 
control point (or several) for that flow 
u There needs to be a comprehensive integrated 
map of all data used by the business 
u This means that there needs to be a LOGICAL 
data warehouse 
u Whether there is a single physical data 
warehouse is a detail of the implementation
Big Data and the Data Reservoir
The Biological System Analog 
u Our human control system 
works at different speeds: 
• Almost instant reflex 
• Swift response 
• Considered response 
u Organizations will 
gradually implement 
similar control systems 
u This suggests a data-flow-based 
architecture 
u Memory is the Data 
Warehouse
Data Warehouse Design 
The design issue: 
u In the past a data warehouse design could remain 
fairly static for a while – it rarely saw dramatic 
change 
u Those days are probably over for many businesses 
u The warehouse design process now needs to have a 
maintenance aspect 
u It also needs to embrace Hadoop and think in terms 
of “logical warehouse”
u How does the typical WhereScape engagement 
proceed in terms of: product only/training/ 
consultancy? 
u What is the typical time frame from project 
initiation to operating warehouse (green field)? 
u What factors impact that time frame? 
u What are your customers (who use Hadoop) using 
it for?
u How would you characterize the role of Hadoop 
in the data warehouse? 
u Do you become involved in database migrations? 
If so, what are the contexts for such projects? 
u Do you have any direct competition?
Twitter Tag: #briefr 
The Briefing Room
This Month: BIG DATA 
May: DATABASE 
June: ANALYTICS & MACHINE LEARNING 
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! 
Images borrowed from the Internet: 
Slide 29: http://evaporatedpast.com/2013/09/07/art-is-never-finished- 
only-abandoned-leonardo-da-vinci/ 
The Briefing Room

More Related Content

The Right Data Warehouse: Automation Now, Business Value Thereafter

  • 1. Grab some coffee and enjoy the pre-show banter before the top of the hour!
  • 2. The Right Data Warehouse: Automation Now, Business Value Thereafter 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. Twitter Tag: #briefr The Briefing Room Topics This Month: BIG DATA May: DATABASE June: ANALYTICS & MACHINE LEARNING 2014 Editorial Calendar at www.insideanalysis.com/webcasts/the-briefing-room
  • 6. “ The first rule of any technology used in a business is that automation applied to an efficient operation will magnify the efficiency. The second is that automation applied to an inefficient operation will magnify the inefficiency. -Bill Gates “
  • 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 USA. 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 Univ. of Southern California, a BS in Industrial Engineering from Lehigh Univ., and is a graduate of The Buckley School of Public Speaking.
  • 10. Mark Budzinski President WhereScape USA, Inc. WhereScape Bloor Group Briefing Big Data: Are We There Yet? April 1, 2014
  • 11. So What Problem Are We Trying to Solve, Again? ¡ Big data = new insights from new sources to answer old questions ¡ Hadoop is a fabulous new technology, not a religion ¡ Business value is *still* where the holy grail is found ¡ Connecting *all* data, in the right form to the business constituency at the pace the business needs it…isn’t *that* the problem worth solving?
  • 12. Eh, Do You See That Animal Over There? ¡ IT has its hands full ¡ ETL has we know it, isn’t helpful ¡ The business employs all kinds of tricks to work around IT ¡ We hide the whole mess in human capital ¡ Consultants ¡ Politics ¡ Excuses
  • 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 ¡ 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
  • 14. Some of Our Customers
  • 15. 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
  • 16. 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”
  • 17. 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)
  • 18. 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
  • 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
  • 25. Is the Data Warehouse Dead? u It’s all about data flow u The number of data sources is increasing dramatically; some (like the weather) don’t directly relate to corporate data entities u Inconvenient data structures (documents, text, etc.) make a single database engine an impossibility u No database product can handle the scale required
  • 26. Is the Data Warehouse Dead? u It’s all about data flow, and there needs to be a control point (or several) for that flow u There needs to be a comprehensive integrated map of all data used by the business u This means that there needs to be a LOGICAL data warehouse u Whether there is a single physical data warehouse is a detail of the implementation
  • 27. Big Data and the Data Reservoir
  • 28. The Biological System Analog u Our human control system works at different speeds: • Almost instant reflex • Swift response • Considered response u Organizations will gradually implement similar control systems u This suggests a data-flow-based architecture u Memory is the Data Warehouse
  • 29. Data Warehouse Design The design issue: u In the past a data warehouse design could remain fairly static for a while – it rarely saw dramatic change u Those days are probably over for many businesses u The warehouse design process now needs to have a maintenance aspect u It also needs to embrace Hadoop and think in terms of “logical warehouse”
  • 30. u How does the typical WhereScape engagement proceed in terms of: product only/training/ consultancy? u What is the typical time frame from project initiation to operating warehouse (green field)? u What factors impact that time frame? u What are your customers (who use Hadoop) using it for?
  • 31. u How would you characterize the role of Hadoop in the data warehouse? u Do you become involved in database migrations? If so, what are the contexts for such projects? u Do you have any direct competition?
  • 32. Twitter Tag: #briefr The Briefing Room
  • 33. This Month: BIG DATA May: DATABASE June: ANALYTICS & MACHINE LEARNING 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! Images borrowed from the Internet: Slide 29: http://evaporatedpast.com/2013/09/07/art-is-never-finished- only-abandoned-leonardo-da-vinci/ The Briefing Room