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Grab some
coffee and
enjoy the
pre-­show
banter
before the
top of the
hour!
The Briefing Room
Agile, Automated, Aware: How to Model for Success
Twitter Tag: #briefr The Briefing Room
Welcome
Host:
Eric Kavanagh
eric.kavanagh@bloorgroup.com
@eric_kavanagh
Twitter Tag: #briefr The Briefing Room
  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!
Mission
Twitter Tag: #briefr The Briefing Room
Topics
October: DATA MANAGEMENT
November: ANALYTICS
December: INNOVATORS
Twitter Tag: #briefr The Briefing Room
A Model for Success
Ø  What’s Old Is New Again
Ø  Modeling Envisions Solutions
Ø  Serves as a Bridge to the Future
Twitter Tag: #briefr The Briefing Room
Analyst: David Loshin
David Loshin, president of Knowledge
Integrity, Inc., is a thought leader and
expert consultant in the areas of data
quality, master data management, and
business intelligence. David is the
author of numerous books and papers
on data management, including the
“Practitioner’s Guide to Data Quality
Improvement.” David is a frequent
speaker at conferences and in web
seminars. His best-selling book, “Master
Data Management,” has been endorsed
by data management industry leaders.
David can be reached at
loshin@knowledge-integrity.com, or at
(301) 754-6350.
Twitter Tag: #briefr The Briefing Room
Embarcadero
  Embarcadero offers a wide variety of database management
and application development products
  ER/Studio, its data architecture and modeling solution,
enables agile change management and a number of
automated tasks
  ER/Studio includes an extensible business glossary and
metadata collaboration tools
Twitter Tag: #briefr The Briefing Room
Guest: Ron Huizenga
Ron Huizenga is the Senior Product
Manager for the Embarcadero ER/Studio
product family. Ron has over 30 years of
experience as an IT executive and
consultant in Enterprise Data
Architecture, Governance, Business
Process Reengineering and
Improvement, Program/Project
Management, Software Development
and Business Management.
EMBARCADERO	
  TECHNOLOGIES	
  EMBARCADERO	
  TECHNOLOGIES	
  
Agile, Automated and Aware
How to Model for Success	
  
Ron Huizenga
Senior Product Manger – ER/Studio 	
  
EMBARCADERO	
  TECHNOLOGIES	
  
Agile	
  Overview	
  
11	
  
EMBARCADERO	
  TECHNOLOGIES	
  
ER/Studio:	
  Agile	
  Change	
  Management	
  
•  Enable	
  “Agile	
  Data	
  Modeler”	
  
•  Change	
  Management	
  Center	
  
–  User	
  stories	
  /tasks	
  
•  Granular	
  repository	
  check-­‐out	
  &	
  check-­‐in	
  
–  Individual	
  objects	
  or	
  sets	
  of	
  objects	
  
–  Full	
  models/sub-­‐models	
  if	
  desired	
  
•  Change	
  records	
  at	
  check	
  in	
  (or	
  check	
  out)	
  
–  Can	
  be	
  associated	
  to	
  user	
  stories,	
  tasks	
  
•  SKll	
  fully	
  supports	
  named	
  releases,	
  branch	
  &	
  
merge	
  as	
  well	
  
EMBARCADERO	
  TECHNOLOGIES	
  
ER/Studio:	
  Change	
  Management	
  Center	
  
13	
  
EMBARCADERO	
  TECHNOLOGIES	
  
ER/Studio:	
  Change	
  Record	
  Details	
  
14	
  
EMBARCADERO	
  TECHNOLOGIES	
  
Is	
  the	
  team	
  responsible	
  for	
  data	
  
models	
  included	
  in	
  your	
  agile	
  process?	
  
Data	
  team’s	
  inclusion	
  in	
  agile	
  process	
  incomplete	
  
Yes,
completely
34%
Somewhat
58%
No
8%
Does	
  your	
  organizaKon	
  follow	
  an	
  
agile	
  development	
  methodology?	
  
Yes,	
  fully	
  
16%	
  
Yes,	
  
somewhat	
  
57%	
  
No	
  
27%	
  
EMBARCADERO	
  TECHNOLOGIES	
  
ER/Studio:	
  AutomaFon	
  
•  Reverse	
  engineering	
  
•  Metadata	
  interchange	
  
•  Naming	
  standards	
  
•  Compare	
  &	
  merge	
  
•  Forward	
  Engineering	
  
•  Macros	
  
•  Glossary	
  IntegraKon	
  
16	
  
EMBARCADERO	
  TECHNOLOGIES	
  
ER/Studio:	
  Apply	
  Naming	
  Standards	
  
•  Can	
  invoke	
  with	
  other	
  wizards	
  
–  General	
  Physical	
  Model	
  
–  Compare	
  &	
  Merge	
  
–  XML	
  Schema	
  GeneraKon	
  
–  Model	
  ValidaKon	
  
•  Can	
  apply	
  to	
  model	
  or	
  sub-­‐model	
  at	
  any	
  
Kme	
  
•  Either	
  DirecKon	
  
•  SelecKve	
  review/apply	
  
•  Enabled	
  by	
  loose	
  model	
  coupling	
  
•  Name	
  lockdown	
  (freeze	
  names)	
  
17	
  
EMBARCADERO	
  TECHNOLOGIES	
  
ER/Studio:	
  AutomaFc	
  Naming	
  Standards	
  
18	
  
Real-­‐Kme	
  update	
  while	
  typing	
  
EMBARCADERO	
  TECHNOLOGIES	
  
19	
  
ER/Studio:	
  Compare	
  and	
  Merge	
  
EMBARCADERO	
  TECHNOLOGIES	
  
	
  	
  	
  ER/Studio:	
  NaFve	
  Big	
  Data	
  Support	
  
•  MongoDB	
  
–  Diagramming	
  
–  Reverse	
  &	
  Forward	
  Engineering	
  (JSON,	
  BSON)	
  
–  MongoDB	
  cerKficaKon	
  for	
  2.x	
  and	
  3.0	
  
•  CerKfied	
  for	
  HDP	
  2.1	
  
–  Forward	
  and	
  reverse	
  engineering	
  
–  Hive	
  DDL	
  
9	
  
EMBARCADERO	
  TECHNOLOGIES	
  
ER/Studio:	
  Extended	
  NotaFon	
  for	
  MongoDB	
  
21	
  
EMBARCADERO	
  TECHNOLOGIES	
  
•  Powerful enterprise glossary, model & metadata collaboration
•  Integrate key business terms and definitions with business systems
•  View, store, and manage a single source of business definitions
•  Attach business policies to daily workflows with contextual alerts and tips
ER/Studio:	
  Business	
  CollaboraFon	
  
22	
  
EMBARCADERO	
  TECHNOLOGIES	
  
ER/Studio	
  Team	
  Server:	
  Glossaries	
  &	
  Terms	
  
23	
  
EMBARCADERO	
  TECHNOLOGIES	
  
ER/Studio:	
  Glossary	
  IntegraFon	
  
24	
  
EMBARCADERO	
  TECHNOLOGIES	
  
Database	
  Tools	
  PorMolio	
  
25	
  
EMBARCADERO	
  TECHNOLOGIES	
  
Concluding	
  Remarks	
  
•  ER/Studio	
  provides	
  automaKon,	
  awareness	
  and	
  
collaboraKon	
  
–  Agile	
  change	
  management	
  
–  Documents	
  “why”	
  and	
  “what”	
  for	
  the	
  changes	
  
–  Sharing	
  of	
  models	
  and	
  metadata	
  
–  Awareness	
  and	
  business	
  meaning	
  through	
  glossaries 	
  	
  
•  Agile	
  is	
  becoming	
  mainstream	
  
–  73%	
  of	
  companies	
  use	
  agile	
  to	
  some	
  degree	
  
–  Only	
  16%	
  have	
  fully	
  embraced	
  it	
  
•  Crucial	
  stakeholders	
  aren’t	
  fully	
  involved	
  
–  Of	
  companies	
  using	
  Agile,	
  only	
  34%	
  fully	
  involve	
  data	
  modelers	
  
–  58%	
  involve	
  them	
  somewhat	
  
–  8%	
  exclude	
  them	
  enKrely	
  
26	
  
Twitter Tag: #briefr The Briefing Room
Perceptions & Questions
Analyst:
David Loshin
The	
  Modern	
  Modeling	
  Conundrum	
  
David	
  Loshin	
  
Knowledge	
  Integrity,	
  Inc.	
  
loshin@knowledge-­‐integrity.com	
  
Briefing	
  Room	
  –	
  October	
  27,	
  2015	
  
©	
  2015	
  Knowledge	
  Integrity,	
  Inc	
  loshin@knowledge-­‐integrity.com	
  (301)	
  754-­‐6350	
  	
   28	
  
When	
  Worlds	
  Collide…	
  
•  OrganizaKons	
  are	
  
increasingly	
  impacted	
  by	
  
conflicKng	
  approaches	
  to	
  
data	
  management:	
  
–  Tabular	
  data	
  vs.	
  RDBMS	
  
–  RDBMS	
  vs.	
  NoSQL	
  
–  Big	
  Data	
  vs.	
  ???	
  
•  ConflicKng	
  development	
  
methodologies	
  are	
  are	
  also	
  
impacKng	
  the	
  way	
  systems	
  
are	
  designed	
  and	
  built	
  
–  TradiKonal	
  waterfall	
  vs.	
  Agile	
  
©	
  2015	
  Knowledge	
  Integrity,	
  Inc	
  
loshin@knowledge-­‐integrity.com	
  
(301)	
  754-­‐6350	
  
29	
  
Assessing	
  the	
  Modern	
  Data	
  Landscape	
  
Enterprise	
  
Data	
  
Management	
  
Legacy	
  
OLTP	
  
Plaporms	
  
Mainframe	
  
files	
  
Heritage	
  
RelaKonal	
  
Systems	
  
Sta/c	
  E/R	
  
models	
  
Emerging	
  
Big	
  Data	
  
NoSQL	
  and	
  
HDFS	
  
©	
  2015	
  Knowledge	
  Integrity,	
  Inc	
  
loshin@knowledge-­‐integrity.com	
  
(301)	
  754-­‐6350	
  
30	
  
Transitions…	
  
•  The	
  trend	
  has	
  data	
  management	
  moving	
  from	
  staKc	
  to	
  dynamic	
  
©	
  2015	
  Knowledge	
  Integrity,	
  Inc	
  
loshin@knowledge-­‐integrity.com	
  
(301)	
  754-­‐6350	
  
31	
  
•  Focus	
  on	
  fixed	
  structure	
  
•  Transform	
  on	
  write	
  
•  Single	
  source,	
  many	
  copies	
  
•  Issues	
  with	
  consistent	
  	
  
interpretaKon	
  with	
  many	
  
users	
  
•  Allows	
  variant	
  structure	
  
•  Transform	
  on	
  read	
  
•  MulKple	
  sources,	
  limit	
  copies	
  
•  Issues	
  with	
  consistency	
  
among	
  users	
  with	
  many	
  
interpretaKons	
  
Data	
  Management/Change	
  Management	
  
•  CompeKng	
  data	
  management	
  frameworks	
  and	
  compeKng	
  
development	
  methodologies	
  are	
  championed	
  by	
  compeKng	
  
generaKonal	
  schools	
  of	
  pracKce	
  
•  But	
  there	
  is	
  a	
  need	
  to	
  impose	
  data	
  management	
  best	
  pracKces	
  to	
  
provide	
  
–  Unified	
  data	
  views	
  
–  Uniform	
  development	
  methodologies	
  
•  Layer	
  “agility”	
  over	
  enterprise	
  metadata	
  and	
  modeling	
  
–  Data	
  discovery	
  
–  Metadata	
  capture	
  and	
  management	
  
–  Support	
  for	
  naKve	
  data	
  representaKons	
  
–  “Aliased”	
  modeling	
  
–  Simplified	
  applicaKon	
  development	
  
–  PresentaKon	
  to	
  the	
  data	
  consumers	
  
–  Collabora/on	
  across	
  the	
  enterprise	
  
©	
  2015	
  Knowledge	
  Integrity,	
  Inc	
  
loshin@knowledge-­‐integrity.com	
  
(301)	
  754-­‐6350	
  
32	
  
Questions	
  for	
  Embarcadero	
  
•  Embarcadero	
  has	
  provided	
  data	
  modeling	
  and	
  metadata	
  
management	
  tools	
  for	
  a	
  very	
  long	
  Kme.	
  What	
  do	
  you	
  see	
  as	
  
the	
  main	
  differences	
  in	
  informaKon	
  design	
  and	
  modeling	
  
between	
  1995	
  and	
  2015?	
  
•  How	
  has	
  the	
  Agile	
  methodology	
  influenced	
  the	
  ways	
  that	
  
system	
  designers	
  work?	
  
•  There	
  is	
  clearly	
  a	
  much	
  greater	
  interest	
  and	
  apKtude	
  among	
  
business	
  users	
  today	
  when	
  it	
  comes	
  to	
  data	
  uKlizaKon,	
  but	
  at	
  
a	
  cost	
  of	
  increased	
  complexity	
  in	
  the	
  environment.	
  What	
  are	
  
the	
  three	
  greatest	
  challenges	
  in	
  ensuring	
  consistency	
  in	
  data	
  
interpretaKon?	
  
©	
  2015	
  Knowledge	
  Integrity,	
  Inc	
  
loshin@knowledge-­‐integrity.com	
  
(301)	
  754-­‐6350	
  
33	
  
Questions	
  for	
  Embarcadero	
  
•  MongoDB	
  is	
  probably	
  the	
  most	
  widely	
  used	
  example	
  of	
  
NoSQL.	
  How	
  has	
  the	
  growing	
  interest	
  in	
  these	
  types	
  of	
  data	
  
management	
  technologies	
  impacted	
  the	
  modeling	
  effort?	
  
	
  
•  What	
  do	
  you	
  see	
  as	
  being	
  the	
  next	
  challenges	
  in	
  big	
  data	
  
integraKon	
  within	
  the	
  enterprise?	
  How	
  do	
  you	
  plan	
  to	
  
address	
  these	
  challenges?	
  
	
  
•  Please	
  elaborate	
  on	
  how	
  your	
  products	
  supplement	
  an	
  
enterprise	
  data	
  governance	
  program.	
  
©	
  2015	
  Knowledge	
  Integrity,	
  Inc	
  
loshin@knowledge-­‐integrity.com	
  
(301)	
  754-­‐6350	
  
34	
  
Questions	
  &	
  Suggestions	
  
•  www.knowledge-­‐integrity.com	
  
•  www.dataqualitybook.com	
  
•  www.decisionworx.com	
  
•  If	
  you	
  have	
  quesKons,	
  comments,	
  
or	
  suggesKons,	
  please	
  contact	
  me	
  
David	
  Loshin	
  
301-­‐754-­‐6350	
  
loshin@knowledge-­‐integrity.com	
  
©	
  2015	
  Knowledge	
  Integrity,	
  Inc	
  
loshin@knowledge-­‐integrity.com	
  
(301)	
  754-­‐6350	
  
35	
  
Twitter Tag: #briefr The Briefing Room
Twitter Tag: #briefr The Briefing Room
Upcoming Topics
www.insideanalysis.com
October: DATA MANAGEMENT
November: ANALYTICS
December: INNOVATORS
Twitter Tag: #briefr The Briefing Room
THANK YOU
for your
ATTENTION!
Some images provided courtesy of Wikimedia Commons
and https://www.facebook.com/techinsider/videos/426968527501509/

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Agile, Automated, Aware: How to Model for Success

  • 1. Grab some coffee and enjoy the pre-­show banter before the top of the hour!
  • 2. The Briefing Room Agile, Automated, Aware: How to Model for Success
  • 3. Twitter Tag: #briefr The Briefing Room Welcome Host: Eric Kavanagh eric.kavanagh@bloorgroup.com @eric_kavanagh
  • 4. Twitter Tag: #briefr The Briefing Room   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! Mission
  • 5. Twitter Tag: #briefr The Briefing Room Topics October: DATA MANAGEMENT November: ANALYTICS December: INNOVATORS
  • 6. Twitter Tag: #briefr The Briefing Room A Model for Success Ø  What’s Old Is New Again Ø  Modeling Envisions Solutions Ø  Serves as a Bridge to the Future
  • 7. Twitter Tag: #briefr The Briefing Room Analyst: David Loshin David Loshin, president of Knowledge Integrity, Inc., is a thought leader and expert consultant in the areas of data quality, master data management, and business intelligence. David is the author of numerous books and papers on data management, including the “Practitioner’s Guide to Data Quality Improvement.” David is a frequent speaker at conferences and in web seminars. His best-selling book, “Master Data Management,” has been endorsed by data management industry leaders. David can be reached at loshin@knowledge-integrity.com, or at (301) 754-6350.
  • 8. Twitter Tag: #briefr The Briefing Room Embarcadero   Embarcadero offers a wide variety of database management and application development products   ER/Studio, its data architecture and modeling solution, enables agile change management and a number of automated tasks   ER/Studio includes an extensible business glossary and metadata collaboration tools
  • 9. Twitter Tag: #briefr The Briefing Room Guest: Ron Huizenga Ron Huizenga is the Senior Product Manager for the Embarcadero ER/Studio product family. Ron has over 30 years of experience as an IT executive and consultant in Enterprise Data Architecture, Governance, Business Process Reengineering and Improvement, Program/Project Management, Software Development and Business Management.
  • 10. EMBARCADERO  TECHNOLOGIES  EMBARCADERO  TECHNOLOGIES   Agile, Automated and Aware How to Model for Success   Ron Huizenga Senior Product Manger – ER/Studio  
  • 11. EMBARCADERO  TECHNOLOGIES   Agile  Overview   11  
  • 12. EMBARCADERO  TECHNOLOGIES   ER/Studio:  Agile  Change  Management   •  Enable  “Agile  Data  Modeler”   •  Change  Management  Center   –  User  stories  /tasks   •  Granular  repository  check-­‐out  &  check-­‐in   –  Individual  objects  or  sets  of  objects   –  Full  models/sub-­‐models  if  desired   •  Change  records  at  check  in  (or  check  out)   –  Can  be  associated  to  user  stories,  tasks   •  SKll  fully  supports  named  releases,  branch  &   merge  as  well  
  • 13. EMBARCADERO  TECHNOLOGIES   ER/Studio:  Change  Management  Center   13  
  • 14. EMBARCADERO  TECHNOLOGIES   ER/Studio:  Change  Record  Details   14  
  • 15. EMBARCADERO  TECHNOLOGIES   Is  the  team  responsible  for  data   models  included  in  your  agile  process?   Data  team’s  inclusion  in  agile  process  incomplete   Yes, completely 34% Somewhat 58% No 8% Does  your  organizaKon  follow  an   agile  development  methodology?   Yes,  fully   16%   Yes,   somewhat   57%   No   27%  
  • 16. EMBARCADERO  TECHNOLOGIES   ER/Studio:  AutomaFon   •  Reverse  engineering   •  Metadata  interchange   •  Naming  standards   •  Compare  &  merge   •  Forward  Engineering   •  Macros   •  Glossary  IntegraKon   16  
  • 17. EMBARCADERO  TECHNOLOGIES   ER/Studio:  Apply  Naming  Standards   •  Can  invoke  with  other  wizards   –  General  Physical  Model   –  Compare  &  Merge   –  XML  Schema  GeneraKon   –  Model  ValidaKon   •  Can  apply  to  model  or  sub-­‐model  at  any   Kme   •  Either  DirecKon   •  SelecKve  review/apply   •  Enabled  by  loose  model  coupling   •  Name  lockdown  (freeze  names)   17  
  • 18. EMBARCADERO  TECHNOLOGIES   ER/Studio:  AutomaFc  Naming  Standards   18   Real-­‐Kme  update  while  typing  
  • 19. EMBARCADERO  TECHNOLOGIES   19   ER/Studio:  Compare  and  Merge  
  • 20. EMBARCADERO  TECHNOLOGIES        ER/Studio:  NaFve  Big  Data  Support   •  MongoDB   –  Diagramming   –  Reverse  &  Forward  Engineering  (JSON,  BSON)   –  MongoDB  cerKficaKon  for  2.x  and  3.0   •  CerKfied  for  HDP  2.1   –  Forward  and  reverse  engineering   –  Hive  DDL   9  
  • 21. EMBARCADERO  TECHNOLOGIES   ER/Studio:  Extended  NotaFon  for  MongoDB   21  
  • 22. EMBARCADERO  TECHNOLOGIES   •  Powerful enterprise glossary, model & metadata collaboration •  Integrate key business terms and definitions with business systems •  View, store, and manage a single source of business definitions •  Attach business policies to daily workflows with contextual alerts and tips ER/Studio:  Business  CollaboraFon   22  
  • 23. EMBARCADERO  TECHNOLOGIES   ER/Studio  Team  Server:  Glossaries  &  Terms   23  
  • 24. EMBARCADERO  TECHNOLOGIES   ER/Studio:  Glossary  IntegraFon   24  
  • 25. EMBARCADERO  TECHNOLOGIES   Database  Tools  PorMolio   25  
  • 26. EMBARCADERO  TECHNOLOGIES   Concluding  Remarks   •  ER/Studio  provides  automaKon,  awareness  and   collaboraKon   –  Agile  change  management   –  Documents  “why”  and  “what”  for  the  changes   –  Sharing  of  models  and  metadata   –  Awareness  and  business  meaning  through  glossaries     •  Agile  is  becoming  mainstream   –  73%  of  companies  use  agile  to  some  degree   –  Only  16%  have  fully  embraced  it   •  Crucial  stakeholders  aren’t  fully  involved   –  Of  companies  using  Agile,  only  34%  fully  involve  data  modelers   –  58%  involve  them  somewhat   –  8%  exclude  them  enKrely   26  
  • 27. Twitter Tag: #briefr The Briefing Room Perceptions & Questions Analyst: David Loshin
  • 28. The  Modern  Modeling  Conundrum   David  Loshin   Knowledge  Integrity,  Inc.   loshin@knowledge-­‐integrity.com   Briefing  Room  –  October  27,  2015   ©  2015  Knowledge  Integrity,  Inc  loshin@knowledge-­‐integrity.com  (301)  754-­‐6350     28  
  • 29. When  Worlds  Collide…   •  OrganizaKons  are   increasingly  impacted  by   conflicKng  approaches  to   data  management:   –  Tabular  data  vs.  RDBMS   –  RDBMS  vs.  NoSQL   –  Big  Data  vs.  ???   •  ConflicKng  development   methodologies  are  are  also   impacKng  the  way  systems   are  designed  and  built   –  TradiKonal  waterfall  vs.  Agile   ©  2015  Knowledge  Integrity,  Inc   loshin@knowledge-­‐integrity.com   (301)  754-­‐6350   29  
  • 30. Assessing  the  Modern  Data  Landscape   Enterprise   Data   Management   Legacy   OLTP   Plaporms   Mainframe   files   Heritage   RelaKonal   Systems   Sta/c  E/R   models   Emerging   Big  Data   NoSQL  and   HDFS   ©  2015  Knowledge  Integrity,  Inc   loshin@knowledge-­‐integrity.com   (301)  754-­‐6350   30  
  • 31. Transitions…   •  The  trend  has  data  management  moving  from  staKc  to  dynamic   ©  2015  Knowledge  Integrity,  Inc   loshin@knowledge-­‐integrity.com   (301)  754-­‐6350   31   •  Focus  on  fixed  structure   •  Transform  on  write   •  Single  source,  many  copies   •  Issues  with  consistent     interpretaKon  with  many   users   •  Allows  variant  structure   •  Transform  on  read   •  MulKple  sources,  limit  copies   •  Issues  with  consistency   among  users  with  many   interpretaKons  
  • 32. Data  Management/Change  Management   •  CompeKng  data  management  frameworks  and  compeKng   development  methodologies  are  championed  by  compeKng   generaKonal  schools  of  pracKce   •  But  there  is  a  need  to  impose  data  management  best  pracKces  to   provide   –  Unified  data  views   –  Uniform  development  methodologies   •  Layer  “agility”  over  enterprise  metadata  and  modeling   –  Data  discovery   –  Metadata  capture  and  management   –  Support  for  naKve  data  representaKons   –  “Aliased”  modeling   –  Simplified  applicaKon  development   –  PresentaKon  to  the  data  consumers   –  Collabora/on  across  the  enterprise   ©  2015  Knowledge  Integrity,  Inc   loshin@knowledge-­‐integrity.com   (301)  754-­‐6350   32  
  • 33. Questions  for  Embarcadero   •  Embarcadero  has  provided  data  modeling  and  metadata   management  tools  for  a  very  long  Kme.  What  do  you  see  as   the  main  differences  in  informaKon  design  and  modeling   between  1995  and  2015?   •  How  has  the  Agile  methodology  influenced  the  ways  that   system  designers  work?   •  There  is  clearly  a  much  greater  interest  and  apKtude  among   business  users  today  when  it  comes  to  data  uKlizaKon,  but  at   a  cost  of  increased  complexity  in  the  environment.  What  are   the  three  greatest  challenges  in  ensuring  consistency  in  data   interpretaKon?   ©  2015  Knowledge  Integrity,  Inc   loshin@knowledge-­‐integrity.com   (301)  754-­‐6350   33  
  • 34. Questions  for  Embarcadero   •  MongoDB  is  probably  the  most  widely  used  example  of   NoSQL.  How  has  the  growing  interest  in  these  types  of  data   management  technologies  impacted  the  modeling  effort?     •  What  do  you  see  as  being  the  next  challenges  in  big  data   integraKon  within  the  enterprise?  How  do  you  plan  to   address  these  challenges?     •  Please  elaborate  on  how  your  products  supplement  an   enterprise  data  governance  program.   ©  2015  Knowledge  Integrity,  Inc   loshin@knowledge-­‐integrity.com   (301)  754-­‐6350   34  
  • 35. Questions  &  Suggestions   •  www.knowledge-­‐integrity.com   •  www.dataqualitybook.com   •  www.decisionworx.com   •  If  you  have  quesKons,  comments,   or  suggesKons,  please  contact  me   David  Loshin   301-­‐754-­‐6350   loshin@knowledge-­‐integrity.com   ©  2015  Knowledge  Integrity,  Inc   loshin@knowledge-­‐integrity.com   (301)  754-­‐6350   35  
  • 36. Twitter Tag: #briefr The Briefing Room
  • 37. Twitter Tag: #briefr The Briefing Room Upcoming Topics www.insideanalysis.com October: DATA MANAGEMENT November: ANALYTICS December: INNOVATORS
  • 38. Twitter Tag: #briefr The Briefing Room THANK YOU for your ATTENTION! Some images provided courtesy of Wikimedia Commons and https://www.facebook.com/techinsider/videos/426968527501509/