SlideShare a Scribd company logo
Business Intelligence:
SQL Server 2012 PowerView

                         Ravi Bodla
                   Senior Manager
                 Hitachi Consulting
          Orange County, California,
                      United States
About Ravi Bodla
• Senior Manager
  – Microsoft Platform
  – Southern California Region
• Hitachi Consulting
  –   Global IT and Management Consulting Firm
  –   Over 5000 consultants worldwide
  –   Microsoft Worldwide Partner,
  –   Microsoft Product Development,
  –   Partner Advisory Council
• Microsoft V-TSP
Session Objectives and Takeaways
•   What is PowerView?
•   Learn about PowerView’s key capabilities
•   Architecture and requirements
•   Understanding of the SQL Server BI Stack
•   Have fun with data!
Microsoft BI Architecture
SQL Server2012
        Delivering business agility and innovation to gain strategic
        value out of your information
              MISSION CRITICAL                                     DEVELOPER & IT   PERVASIVE INSIGHT
                 PLATFORM                                          PRODUCTIVITY




Microsoft Confidential—Preliminary Information Subject to Change
SQL Server 2012 Reporting and Alerting
      Empower users              Increase Proactive           Increase efficiency
                                    Intelligence




                             • End User Alerting
 • PowerView                                               • Enabled as SharePoint
                               • Defined from within         Shared Service
   • Highly visual design          operational or ad-hoc
      experience                   reports                   • Built-in scale-out for
                                                                RS Service Apps
   • Rich metadata-            • Intuitive Alert rules
      driven interactivity                                   • SharePoint Cross-
                               • Alerts self-managed
                                                                farm reporting
   • Presentation-ready            through SharePoint
      at all times           • XLS/Word 2007/2010            • Integrated backup &
                                                                recovery, ULS
                             • BIDS integrated with             logging, PowerShell
                             Dev10 shell                        etc.
Managed Self Service BI                        –                              Corporate BI
What is PowerView?


    PowerView is an interactive
    data exploration and visual
     presentation experience.
PowerView                                   Highly Visual Design Experience
                             •     Interactive, web-based authoring and sharing of information
                             •     Familiar Microsoft Office design patterns
                             •     Powerful data layout with banding, callout and small multiples
                                   visualizations



                       Rich metadata-driven interactivity
•   Fully integrated with PowerPivot
•   Drive greater insight through smart and powerful querying
•   Zero configuration highlighting and filtering
•   Animated trending and comparisons

                              Presentation-ready at all times

                        •    Interactive Presentation turns pervasive information into persuasive
                             information
                        •    Deliver and collaborate through SharePoint
                        •    Full screen presentation mode for interactive boardroom session
“PowerView” Experiences
                   demo
PowerView Architecture

                                   SharePoint Farm

                   Web Front End         App Server                        BIDS
                                                                       Tabular Model
                                           RS Server
                      RS Web                  DAX
                      service              extension
PowerView client                           ADOMD.N        BISM File
                                               ET         (optional)       AS
                                                                         Server
                                                                         Tabular
                                                                          mode




                                                                             (Optional)
                                                                             DirectQuery
                   Web Front End           PowerPivot
                                         System Service
Excel PowerPivot    PowerPivot
      Model         web service            AS Server
                                          Sharepoint
                                          Integrated
                                                                       SQL Server
Analysis Services: Tomorrow
 Build on the strengths
                           Embrace the relational
 and success of Analysis
                           data model – well
 Services and expand its
                           understood by
 reach to a much
                           developers and IT Pros
 broader user base




 Bring together the
 relational and            Provide flexibility in the
 multidimensional          platform to suit the
 models under a single     diverse needs of BI
 unified BI platform –     applications
 best of both worlds!
BI Semantic Model: Benefits



      Flexibility                Richness                    Scalability
   o Tabular and              o Serves entire range of BI   o VertiPaq in-memory
     multidimensional                                         engine
     modeling                   solutions

   o Cached or passthrough    o Rich modeling               o State-of-the-art
     storage                    capabilities                  compression algorithms

   o VertiPaq for                                           o Scales to largest enterprise
     performance, MOLAP for   o Complex business logic        servers
     scale
                              o Fine-grained security       o Improved SharePoint
   o Choice of end-user BI
     tools                                                    configuration and
                                                              performance
BI Semantic Model: Architecture
      Third-party     Reporting                                      SharePoint
      applications     Services         Excel       PowerPivot        Insights




                                  BI Semantic Model
                                                    Multi-        Tabular
                          Data model             dimensional

                      Business                      MDX            DAX
                      logic/queries
                        Data access             ROLAP MOLAPVertiPaq Direct
                                                                    Query




       Databases     LOB Applications   Files       OData Feeds      Cloud Services
Data Model
             Tabular                       Multidimensional

  Familiar model, easier to            Sophisticated model, higher learning
  build, faster time                   curve
  to solution
                                       Advanced concepts baked into the
  Advanced concepts (parent-           model
  child, many-to-many) not available   and optimized (parent-child, many-
  natively in the model… need          to-many, attribute relationships, key
  calculations to simulate these       vs. name, etc.)

  Easy to wrap a model over a raw      Ideally suited for OLAP type apps
  database                             (e.g.
  or warehouse for reporting &         planning, budgeting, forecasting)
  analytics                            that need the power of the
                                       multidimensional model
Business Logic
               DAX                                MDX

  Based on Excel formulas and         Based on understanding of
  relational concepts – easy to get   multidimensional concepts – higher
  started                             initial learning curve

  Complex solutions require steeper   Complex solutions require steeper
  learning curve – row/filter         learning curve –
  context, Calculate, etc.            CurrentMember, overwrite
                                      semantics, etc.
  Calculated columns enable new
  scenarios, however no named sets    Ideally suited for apps that need the
  or calc members                     power of multidimensional
                                      calculations –
                                      scopes, assignments, calc members
PowerView is NOT
Crescent is an interactive data exploration and visual
presentation experience.
• Does not replace RB 2.0, 3.0 or BIDS
• Not a goal to edit or add new interactivity to
  Dev/IT Pro reports built in RB or BIDS
• Not a high-end analysis experience
   – Not a goal to provide complex calculation building
• Not a cell-based calculation tool
• Not a forecasting/write back tool
• Not a replacement for PPS scorecards or ProClarity
Report Designer   Report Builder   Project “Crescent”




Embedded              Operational                  Business
Choosing the right BI tool
Questions
• rbodla@hitachiconsulting.com
• http://www.linkedin.com/pub/ravi-bodla/0/586/96b
• http://www.hitachiconsulting.com

Demo Environment:
http://blogs.msdn.com/b/oneclickbi/archive/2011/07/
21/getting-up-and-running-with-sql-server-denali-for-
business-intelligence-crescent-and-powerpivot-in-
ctp3.aspx
We want your feedback!
                   Use this QR code or visit:
                   http://sps.la/feedback

                   Silver Sponsors:
Victory Lap- social event
  "SharePoint Victory Lap" Social Event for
     SPSLA will be at: 5:30pm to 8pm at
Di Piazzas (5205 E. Pacific Coast Hwy, 90804)

More Related Content

What's hot

Go Beyond the Numbers - Data Visualization in SharePoint 2010
Go Beyond the Numbers - Data Visualization in SharePoint 2010Go Beyond the Numbers - Data Visualization in SharePoint 2010
Go Beyond the Numbers - Data Visualization in SharePoint 2010
Chris McNulty
 
Sql Server 2012 Reporting-Services is Now a SharePoint Service Application
Sql Server 2012   Reporting-Services is Now a SharePoint Service ApplicationSql Server 2012   Reporting-Services is Now a SharePoint Service Application
Sql Server 2012 Reporting-Services is Now a SharePoint Service Application
InnoTech
 
ORACLE FUSION - IBANK
ORACLE FUSION - IBANKORACLE FUSION - IBANK
ORACLE FUSION - IBANK
ibankuk
 
SharePoint 2010 and SQL Server 2012 Business Intelligence (Serge Luca, Isabel...
SharePoint 2010 and SQL Server 2012 Business Intelligence (Serge Luca, Isabel...SharePoint 2010 and SQL Server 2012 Business Intelligence (Serge Luca, Isabel...
SharePoint 2010 and SQL Server 2012 Business Intelligence (Serge Luca, Isabel...
serge luca
 
Xencia Solution Showcase
Xencia Solution ShowcaseXencia Solution Showcase
Xencia Solution Showcase
ullasl
 
IMGS Local Gov User Group Presentation
IMGS Local Gov User Group PresentationIMGS Local Gov User Group Presentation
IMGS Local Gov User Group Presentation
IMGS
 
View from the Top: SQL 2012 'Denali' and SharePoint 2010
View from the Top: SQL 2012 'Denali' and SharePoint 2010View from the Top: SQL 2012 'Denali' and SharePoint 2010
View from the Top: SQL 2012 'Denali' and SharePoint 2010Chris McNulty
 
Oracle - Programatica2010
Oracle - Programatica2010Oracle - Programatica2010
Oracle - Programatica2010Agora Group
 
Molnar DEV307 OBA
Molnar DEV307 OBAMolnar DEV307 OBA
Molnar DEV307 OBA
Agnes Molnar
 
The 'SharePoint and...Story
The 'SharePoint and...StoryThe 'SharePoint and...Story
The 'SharePoint and...Story
Sentri
 
Perficient Self Service Business Intelligence with Power Pivot
Perficient Self Service Business Intelligence with Power PivotPerficient Self Service Business Intelligence with Power Pivot
Perficient Self Service Business Intelligence with Power Pivot
Perficient, Inc.
 
In sync10 nadiabendjedou-ebs-techessentials-final
In sync10 nadiabendjedou-ebs-techessentials-finalIn sync10 nadiabendjedou-ebs-techessentials-final
In sync10 nadiabendjedou-ebs-techessentials-final
InSync Conference
 
AWS Summit 2011 : How to become an AWS Solution Provider
AWS Summit 2011 : How to become an AWS Solution ProviderAWS Summit 2011 : How to become an AWS Solution Provider
AWS Summit 2011 : How to become an AWS Solution ProviderAmazon Web Services
 
[Uruguay] DB2 Web Query for i - Hernando Bedoya
[Uruguay] DB2 Web Query for i - Hernando Bedoya[Uruguay] DB2 Web Query for i - Hernando Bedoya
[Uruguay] DB2 Web Query for i - Hernando Bedoya
IBMSSA
 
Perficient Business Intelligence Analysis and Delivery Options in SharePoint
Perficient Business Intelligence Analysis and Delivery Options in SharePointPerficient Business Intelligence Analysis and Delivery Options in SharePoint
Perficient Business Intelligence Analysis and Delivery Options in SharePoint
Perficient, Inc.
 
Power BI & SAP - Integration Options and possible Pifalls
Power BI & SAP - Integration Options and possible PifallsPower BI & SAP - Integration Options and possible Pifalls
Power BI & SAP - Integration Options and possible Pifalls
JJDE
 
[Uruguay] DB2 for i: 7.1 Overview - Hernando Bedoya
[Uruguay] DB2 for i: 7.1 Overview - Hernando Bedoya[Uruguay] DB2 for i: 7.1 Overview - Hernando Bedoya
[Uruguay] DB2 for i: 7.1 Overview - Hernando Bedoya
IBMSSA
 

What's hot (20)

Go Beyond the Numbers - Data Visualization in SharePoint 2010
Go Beyond the Numbers - Data Visualization in SharePoint 2010Go Beyond the Numbers - Data Visualization in SharePoint 2010
Go Beyond the Numbers - Data Visualization in SharePoint 2010
 
Sql Server 2012 Reporting-Services is Now a SharePoint Service Application
Sql Server 2012   Reporting-Services is Now a SharePoint Service ApplicationSql Server 2012   Reporting-Services is Now a SharePoint Service Application
Sql Server 2012 Reporting-Services is Now a SharePoint Service Application
 
IBM Connect 2013 - AD405
IBM Connect 2013 - AD405IBM Connect 2013 - AD405
IBM Connect 2013 - AD405
 
ORACLE FUSION - IBANK
ORACLE FUSION - IBANKORACLE FUSION - IBANK
ORACLE FUSION - IBANK
 
SharePoint 2010 and SQL Server 2012 Business Intelligence (Serge Luca, Isabel...
SharePoint 2010 and SQL Server 2012 Business Intelligence (Serge Luca, Isabel...SharePoint 2010 and SQL Server 2012 Business Intelligence (Serge Luca, Isabel...
SharePoint 2010 and SQL Server 2012 Business Intelligence (Serge Luca, Isabel...
 
Xencia Solution Showcase
Xencia Solution ShowcaseXencia Solution Showcase
Xencia Solution Showcase
 
IMGS Local Gov User Group Presentation
IMGS Local Gov User Group PresentationIMGS Local Gov User Group Presentation
IMGS Local Gov User Group Presentation
 
View from the Top: SQL 2012 'Denali' and SharePoint 2010
View from the Top: SQL 2012 'Denali' and SharePoint 2010View from the Top: SQL 2012 'Denali' and SharePoint 2010
View from the Top: SQL 2012 'Denali' and SharePoint 2010
 
Office 2010 Programming
Office 2010 ProgrammingOffice 2010 Programming
Office 2010 Programming
 
Oracle - Programatica2010
Oracle - Programatica2010Oracle - Programatica2010
Oracle - Programatica2010
 
AIS SharePoint & BI Presentation 24th july 2012
AIS SharePoint & BI Presentation 24th july 2012AIS SharePoint & BI Presentation 24th july 2012
AIS SharePoint & BI Presentation 24th july 2012
 
Molnar DEV307 OBA
Molnar DEV307 OBAMolnar DEV307 OBA
Molnar DEV307 OBA
 
The 'SharePoint and...Story
The 'SharePoint and...StoryThe 'SharePoint and...Story
The 'SharePoint and...Story
 
Perficient Self Service Business Intelligence with Power Pivot
Perficient Self Service Business Intelligence with Power PivotPerficient Self Service Business Intelligence with Power Pivot
Perficient Self Service Business Intelligence with Power Pivot
 
In sync10 nadiabendjedou-ebs-techessentials-final
In sync10 nadiabendjedou-ebs-techessentials-finalIn sync10 nadiabendjedou-ebs-techessentials-final
In sync10 nadiabendjedou-ebs-techessentials-final
 
AWS Summit 2011 : How to become an AWS Solution Provider
AWS Summit 2011 : How to become an AWS Solution ProviderAWS Summit 2011 : How to become an AWS Solution Provider
AWS Summit 2011 : How to become an AWS Solution Provider
 
[Uruguay] DB2 Web Query for i - Hernando Bedoya
[Uruguay] DB2 Web Query for i - Hernando Bedoya[Uruguay] DB2 Web Query for i - Hernando Bedoya
[Uruguay] DB2 Web Query for i - Hernando Bedoya
 
Perficient Business Intelligence Analysis and Delivery Options in SharePoint
Perficient Business Intelligence Analysis and Delivery Options in SharePointPerficient Business Intelligence Analysis and Delivery Options in SharePoint
Perficient Business Intelligence Analysis and Delivery Options in SharePoint
 
Power BI & SAP - Integration Options and possible Pifalls
Power BI & SAP - Integration Options and possible PifallsPower BI & SAP - Integration Options and possible Pifalls
Power BI & SAP - Integration Options and possible Pifalls
 
[Uruguay] DB2 for i: 7.1 Overview - Hernando Bedoya
[Uruguay] DB2 for i: 7.1 Overview - Hernando Bedoya[Uruguay] DB2 for i: 7.1 Overview - Hernando Bedoya
[Uruguay] DB2 for i: 7.1 Overview - Hernando Bedoya
 

Viewers also liked

Dramatic play
Dramatic playDramatic play
Dramatic play
jeh20717
 
Big Data in Cloud: Seize your Insight Like a Golden Snitch (Margaret Ostapchu...
Big Data in Cloud: Seize your Insight Like a Golden Snitch (Margaret Ostapchu...Big Data in Cloud: Seize your Insight Like a Golden Snitch (Margaret Ostapchu...
Big Data in Cloud: Seize your Insight Like a Golden Snitch (Margaret Ostapchu...
IT Arena
 
Ebd lições bíblicas 2°trimestre 2016 lição 9 A nova vida em Cristo.
Ebd lições bíblicas 2°trimestre 2016 lição 9 A nova vida em Cristo.Ebd lições bíblicas 2°trimestre 2016 lição 9 A nova vida em Cristo.
Ebd lições bíblicas 2°trimestre 2016 lição 9 A nova vida em Cristo.
GIDEONE Moura Santos Ferreira
 
The Behavioural Science of Predictions, Forecasting and Decision Making
The Behavioural Science of Predictions, Forecasting and Decision MakingThe Behavioural Science of Predictions, Forecasting and Decision Making
The Behavioural Science of Predictions, Forecasting and Decision Making
Needle Partners
 
Math
MathMath
Math
jeh20717
 
Dramatic Play
Dramatic PlayDramatic Play
Dramatic Play
jeh20717
 
"Строим Европу в голове"
"Строим Европу в голове""Строим Европу в голове"
"Строим Европу в голове"
Margoshenka
 
Srikanth Bolla
Srikanth BollaSrikanth Bolla
Srikanth Bolla
ATUL RAJA
 
Innovative Business Model Changing the Indian Business
Innovative Business Model Changing the Indian BusinessInnovative Business Model Changing the Indian Business
Innovative Business Model Changing the Indian Business
Mastermind Training & Consultancy Services Pvt Ltd
 
Захист прав інтелектуальної власності в адміністративному та судовому порядку...
Захист прав інтелектуальної власності в адміністративному та судовому порядку...Захист прав інтелектуальної власності в адміністративному та судовому порядку...
Захист прав інтелектуальної власності в адміністративному та судовому порядку...
Constantine Zerov
 
05 cedr 2012 costados indulgentes
05 cedr 2012 costados indulgentes05 cedr 2012 costados indulgentes
05 cedr 2012 costados indulgentes
Sierra Francisco Justo
 
Hand Writing Without Tears 12-05-2015
Hand Writing Without Tears 12-05-2015Hand Writing Without Tears 12-05-2015
Hand Writing Without Tears 12-05-2015Haalah M.
 
Cali vita produkt katalog - german
Cali vita   produkt katalog - germanCali vita   produkt katalog - german
Cali vita produkt katalog - germanZoran Stojcevski
 
How to Get Lightning Fast Answers with Power BI Q&A and Cortana
How to Get Lightning Fast Answers with Power BI Q&A and CortanaHow to Get Lightning Fast Answers with Power BI Q&A and Cortana
How to Get Lightning Fast Answers with Power BI Q&A and Cortana
Vishal Pawar
 
C300 plus sa šipurkom i bioflavonoidima
C300 plus sa šipurkom i bioflavonoidimaC300 plus sa šipurkom i bioflavonoidima
C300 plus sa šipurkom i bioflavonoidima
Zoran Stojcevski
 
Informelles Lernen im Alltag
Informelles Lernen im AlltagInformelles Lernen im Alltag
Informelles Lernen im AlltagPieter De Vries
 
Strong bones plus graditelj kostiju
Strong bones plus   graditelj kostijuStrong bones plus   graditelj kostiju
Strong bones plus graditelj kostiju
Zoran Stojcevski
 
Teacher's Emotional Welfare
Teacher's Emotional WelfareTeacher's Emotional Welfare
Teacher's Emotional Welfare
Amanda Goh
 

Viewers also liked (19)

Dramatic play
Dramatic playDramatic play
Dramatic play
 
Big Data in Cloud: Seize your Insight Like a Golden Snitch (Margaret Ostapchu...
Big Data in Cloud: Seize your Insight Like a Golden Snitch (Margaret Ostapchu...Big Data in Cloud: Seize your Insight Like a Golden Snitch (Margaret Ostapchu...
Big Data in Cloud: Seize your Insight Like a Golden Snitch (Margaret Ostapchu...
 
Ebd lições bíblicas 2°trimestre 2016 lição 9 A nova vida em Cristo.
Ebd lições bíblicas 2°trimestre 2016 lição 9 A nova vida em Cristo.Ebd lições bíblicas 2°trimestre 2016 lição 9 A nova vida em Cristo.
Ebd lições bíblicas 2°trimestre 2016 lição 9 A nova vida em Cristo.
 
The Behavioural Science of Predictions, Forecasting and Decision Making
The Behavioural Science of Predictions, Forecasting and Decision MakingThe Behavioural Science of Predictions, Forecasting and Decision Making
The Behavioural Science of Predictions, Forecasting and Decision Making
 
Math
MathMath
Math
 
Dramatic Play
Dramatic PlayDramatic Play
Dramatic Play
 
"Строим Европу в голове"
"Строим Европу в голове""Строим Европу в голове"
"Строим Европу в голове"
 
Srikanth Bolla
Srikanth BollaSrikanth Bolla
Srikanth Bolla
 
Innovative Business Model Changing the Indian Business
Innovative Business Model Changing the Indian BusinessInnovative Business Model Changing the Indian Business
Innovative Business Model Changing the Indian Business
 
Захист прав інтелектуальної власності в адміністративному та судовому порядку...
Захист прав інтелектуальної власності в адміністративному та судовому порядку...Захист прав інтелектуальної власності в адміністративному та судовому порядку...
Захист прав інтелектуальної власності в адміністративному та судовому порядку...
 
05 cedr 2012 costados indulgentes
05 cedr 2012 costados indulgentes05 cedr 2012 costados indulgentes
05 cedr 2012 costados indulgentes
 
Hand Writing Without Tears 12-05-2015
Hand Writing Without Tears 12-05-2015Hand Writing Without Tears 12-05-2015
Hand Writing Without Tears 12-05-2015
 
Cali vita produkt katalog - german
Cali vita   produkt katalog - germanCali vita   produkt katalog - german
Cali vita produkt katalog - german
 
How to Get Lightning Fast Answers with Power BI Q&A and Cortana
How to Get Lightning Fast Answers with Power BI Q&A and CortanaHow to Get Lightning Fast Answers with Power BI Q&A and Cortana
How to Get Lightning Fast Answers with Power BI Q&A and Cortana
 
C300 plus sa šipurkom i bioflavonoidima
C300 plus sa šipurkom i bioflavonoidimaC300 plus sa šipurkom i bioflavonoidima
C300 plus sa šipurkom i bioflavonoidima
 
Informelles Lernen im Alltag
Informelles Lernen im AlltagInformelles Lernen im Alltag
Informelles Lernen im Alltag
 
Certificate
CertificateCertificate
Certificate
 
Strong bones plus graditelj kostiju
Strong bones plus   graditelj kostijuStrong bones plus   graditelj kostiju
Strong bones plus graditelj kostiju
 
Teacher's Emotional Welfare
Teacher's Emotional WelfareTeacher's Emotional Welfare
Teacher's Emotional Welfare
 

Similar to SQL 2012 PowerView Talk SPSLA

Self-Service BI with SQL Server 2012
Self-Service BI with SQL Server 2012Self-Service BI with SQL Server 2012
Self-Service BI with SQL Server 2012
Dan English
 
Intro to BI Semantic Model & Self-Service Reporting with Power View
Intro to BI Semantic Model & Self-Service Reporting with Power ViewIntro to BI Semantic Model & Self-Service Reporting with Power View
Intro to BI Semantic Model & Self-Service Reporting with Power View
Dan English
 
SQL Server 2012 and SharePoint 2010: Reporting Nirvana
SQL Server 2012 and SharePoint 2010: Reporting NirvanaSQL Server 2012 and SharePoint 2010: Reporting Nirvana
SQL Server 2012 and SharePoint 2010: Reporting Nirvana
Randy Williams
 
What's New with BI in SQL Server Denali (SQL11)
What's New with BI in SQL Server Denali (SQL11)What's New with BI in SQL Server Denali (SQL11)
What's New with BI in SQL Server Denali (SQL11)
Dan English
 
Business Intelligence in SharePoint 2013 by Jason Himmelstein - SPTechCon
Business Intelligence in SharePoint 2013 by Jason Himmelstein - SPTechConBusiness Intelligence in SharePoint 2013 by Jason Himmelstein - SPTechCon
Business Intelligence in SharePoint 2013 by Jason Himmelstein - SPTechCon
SPTechCon
 
Business intelligence in SharePoint 2013
Business intelligence in SharePoint 2013Business intelligence in SharePoint 2013
Business intelligence in SharePoint 2013
Jason Himmelstein
 
Self-service BI with PowerPivot and PowerView
Self-service BI with PowerPivot and PowerViewSelf-service BI with PowerPivot and PowerView
Self-service BI with PowerPivot and PowerViewIvan Donev
 
Self service BI with sql server 2008 R2 and microsoft power pivot short
Self service BI with sql server 2008 R2 and microsoft power pivot shortSelf service BI with sql server 2008 R2 and microsoft power pivot short
Self service BI with sql server 2008 R2 and microsoft power pivot short
Eduardo Castro
 
Create Your First SQL Server Cubes
Create Your First SQL Server CubesCreate Your First SQL Server Cubes
Create Your First SQL Server Cubes
Mark Kromer
 
Power bi overview
Power bi overview Power bi overview
Power bi overview
Kiki Noviandi
 
Microsoft 2010: Microsoft Partner Overview
Microsoft 2010: Microsoft Partner OverviewMicrosoft 2010: Microsoft Partner Overview
Microsoft 2010: Microsoft Partner OverviewJennifer Stevenson
 
Reporting For Duty - Best Practices for Reporting Services With Sharepoint
Reporting For Duty - Best Practices for Reporting Services With SharepointReporting For Duty - Best Practices for Reporting Services With Sharepoint
Reporting For Duty - Best Practices for Reporting Services With Sharepoint
John White
 
Novidades do Analysis Services e PowerPivot SQL 2012
Novidades do Analysis Services e PowerPivot SQL 2012Novidades do Analysis Services e PowerPivot SQL 2012
Novidades do Analysis Services e PowerPivot SQL 2012Marcos Freccia
 
Deploy PowerPivot Enterprise Wide
Deploy PowerPivot Enterprise WideDeploy PowerPivot Enterprise Wide
Deploy PowerPivot Enterprise Wide
www.panorama.com
 
Extending the reach of your Microsoft Dynamics AX Application with the next-g...
Extending the reach of your Microsoft Dynamics AX Application with the next-g...Extending the reach of your Microsoft Dynamics AX Application with the next-g...
Extending the reach of your Microsoft Dynamics AX Application with the next-g...
Microsoft Developer Network (MSDN) - Belgium and Luxembourg
 
Mac oct 18 2012 version 4
Mac oct 18 2012 version 4Mac oct 18 2012 version 4
Mac oct 18 2012 version 4Rose Bud
 
Self-service B.I.
Self-service B.I. Self-service B.I.
Self-service B.I. Rose Bud
 
Leveraging PowerPivot
Leveraging PowerPivotLeveraging PowerPivot
Leveraging PowerPivot
Dan English
 
Building your first Analysis Services Tabular BI Semantic model with SQL Serv...
Building your first Analysis Services Tabular BI Semantic model with SQL Serv...Building your first Analysis Services Tabular BI Semantic model with SQL Serv...
Building your first Analysis Services Tabular BI Semantic model with SQL Serv...
Microsoft TechNet - Belgium and Luxembourg
 
Microsoft BI for SAP
Microsoft BI for SAPMicrosoft BI for SAP
Microsoft BI for SAPNaresh Koka
 

Similar to SQL 2012 PowerView Talk SPSLA (20)

Self-Service BI with SQL Server 2012
Self-Service BI with SQL Server 2012Self-Service BI with SQL Server 2012
Self-Service BI with SQL Server 2012
 
Intro to BI Semantic Model & Self-Service Reporting with Power View
Intro to BI Semantic Model & Self-Service Reporting with Power ViewIntro to BI Semantic Model & Self-Service Reporting with Power View
Intro to BI Semantic Model & Self-Service Reporting with Power View
 
SQL Server 2012 and SharePoint 2010: Reporting Nirvana
SQL Server 2012 and SharePoint 2010: Reporting NirvanaSQL Server 2012 and SharePoint 2010: Reporting Nirvana
SQL Server 2012 and SharePoint 2010: Reporting Nirvana
 
What's New with BI in SQL Server Denali (SQL11)
What's New with BI in SQL Server Denali (SQL11)What's New with BI in SQL Server Denali (SQL11)
What's New with BI in SQL Server Denali (SQL11)
 
Business Intelligence in SharePoint 2013 by Jason Himmelstein - SPTechCon
Business Intelligence in SharePoint 2013 by Jason Himmelstein - SPTechConBusiness Intelligence in SharePoint 2013 by Jason Himmelstein - SPTechCon
Business Intelligence in SharePoint 2013 by Jason Himmelstein - SPTechCon
 
Business intelligence in SharePoint 2013
Business intelligence in SharePoint 2013Business intelligence in SharePoint 2013
Business intelligence in SharePoint 2013
 
Self-service BI with PowerPivot and PowerView
Self-service BI with PowerPivot and PowerViewSelf-service BI with PowerPivot and PowerView
Self-service BI with PowerPivot and PowerView
 
Self service BI with sql server 2008 R2 and microsoft power pivot short
Self service BI with sql server 2008 R2 and microsoft power pivot shortSelf service BI with sql server 2008 R2 and microsoft power pivot short
Self service BI with sql server 2008 R2 and microsoft power pivot short
 
Create Your First SQL Server Cubes
Create Your First SQL Server CubesCreate Your First SQL Server Cubes
Create Your First SQL Server Cubes
 
Power bi overview
Power bi overview Power bi overview
Power bi overview
 
Microsoft 2010: Microsoft Partner Overview
Microsoft 2010: Microsoft Partner OverviewMicrosoft 2010: Microsoft Partner Overview
Microsoft 2010: Microsoft Partner Overview
 
Reporting For Duty - Best Practices for Reporting Services With Sharepoint
Reporting For Duty - Best Practices for Reporting Services With SharepointReporting For Duty - Best Practices for Reporting Services With Sharepoint
Reporting For Duty - Best Practices for Reporting Services With Sharepoint
 
Novidades do Analysis Services e PowerPivot SQL 2012
Novidades do Analysis Services e PowerPivot SQL 2012Novidades do Analysis Services e PowerPivot SQL 2012
Novidades do Analysis Services e PowerPivot SQL 2012
 
Deploy PowerPivot Enterprise Wide
Deploy PowerPivot Enterprise WideDeploy PowerPivot Enterprise Wide
Deploy PowerPivot Enterprise Wide
 
Extending the reach of your Microsoft Dynamics AX Application with the next-g...
Extending the reach of your Microsoft Dynamics AX Application with the next-g...Extending the reach of your Microsoft Dynamics AX Application with the next-g...
Extending the reach of your Microsoft Dynamics AX Application with the next-g...
 
Mac oct 18 2012 version 4
Mac oct 18 2012 version 4Mac oct 18 2012 version 4
Mac oct 18 2012 version 4
 
Self-service B.I.
Self-service B.I. Self-service B.I.
Self-service B.I.
 
Leveraging PowerPivot
Leveraging PowerPivotLeveraging PowerPivot
Leveraging PowerPivot
 
Building your first Analysis Services Tabular BI Semantic model with SQL Serv...
Building your first Analysis Services Tabular BI Semantic model with SQL Serv...Building your first Analysis Services Tabular BI Semantic model with SQL Serv...
Building your first Analysis Services Tabular BI Semantic model with SQL Serv...
 
Microsoft BI for SAP
Microsoft BI for SAPMicrosoft BI for SAP
Microsoft BI for SAP
 

Recently uploaded

FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
DianaGray10
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
Frank van Harmelen
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
Kari Kakkonen
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
Elena Simperl
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
Safe Software
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
DanBrown980551
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Jeffrey Haguewood
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Product School
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
Ana-Maria Mihalceanu
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Tobias Schneck
 
UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3
DianaGray10
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
Elena Simperl
 
Elevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object CalisthenicsElevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object Calisthenics
Dorra BARTAGUIZ
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Product School
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
Jemma Hussein Allen
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
91mobiles
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance
 

Recently uploaded (20)

FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
 
UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 
Elevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object CalisthenicsElevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object Calisthenics
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
 

SQL 2012 PowerView Talk SPSLA

  • 1. Business Intelligence: SQL Server 2012 PowerView Ravi Bodla Senior Manager Hitachi Consulting Orange County, California, United States
  • 2. About Ravi Bodla • Senior Manager – Microsoft Platform – Southern California Region • Hitachi Consulting – Global IT and Management Consulting Firm – Over 5000 consultants worldwide – Microsoft Worldwide Partner, – Microsoft Product Development, – Partner Advisory Council • Microsoft V-TSP
  • 3. Session Objectives and Takeaways • What is PowerView? • Learn about PowerView’s key capabilities • Architecture and requirements • Understanding of the SQL Server BI Stack • Have fun with data!
  • 5. SQL Server2012 Delivering business agility and innovation to gain strategic value out of your information MISSION CRITICAL DEVELOPER & IT PERVASIVE INSIGHT PLATFORM PRODUCTIVITY Microsoft Confidential—Preliminary Information Subject to Change
  • 6. SQL Server 2012 Reporting and Alerting Empower users Increase Proactive Increase efficiency Intelligence • End User Alerting • PowerView • Enabled as SharePoint • Defined from within Shared Service • Highly visual design operational or ad-hoc experience reports • Built-in scale-out for RS Service Apps • Rich metadata- • Intuitive Alert rules driven interactivity • SharePoint Cross- • Alerts self-managed farm reporting • Presentation-ready through SharePoint at all times • XLS/Word 2007/2010 • Integrated backup & recovery, ULS • BIDS integrated with logging, PowerShell Dev10 shell etc. Managed Self Service BI – Corporate BI
  • 7.
  • 8. What is PowerView? PowerView is an interactive data exploration and visual presentation experience.
  • 9. PowerView Highly Visual Design Experience • Interactive, web-based authoring and sharing of information • Familiar Microsoft Office design patterns • Powerful data layout with banding, callout and small multiples visualizations Rich metadata-driven interactivity • Fully integrated with PowerPivot • Drive greater insight through smart and powerful querying • Zero configuration highlighting and filtering • Animated trending and comparisons Presentation-ready at all times • Interactive Presentation turns pervasive information into persuasive information • Deliver and collaborate through SharePoint • Full screen presentation mode for interactive boardroom session
  • 11. PowerView Architecture SharePoint Farm Web Front End App Server BIDS Tabular Model RS Server RS Web DAX service extension PowerView client ADOMD.N BISM File ET (optional) AS Server Tabular mode (Optional) DirectQuery Web Front End PowerPivot System Service Excel PowerPivot PowerPivot Model web service AS Server Sharepoint Integrated SQL Server
  • 12. Analysis Services: Tomorrow Build on the strengths Embrace the relational and success of Analysis data model – well Services and expand its understood by reach to a much developers and IT Pros broader user base Bring together the relational and Provide flexibility in the multidimensional platform to suit the models under a single diverse needs of BI unified BI platform – applications best of both worlds!
  • 13. BI Semantic Model: Benefits Flexibility Richness Scalability o Tabular and o Serves entire range of BI o VertiPaq in-memory multidimensional engine modeling solutions o Cached or passthrough o Rich modeling o State-of-the-art storage capabilities compression algorithms o VertiPaq for o Scales to largest enterprise performance, MOLAP for o Complex business logic servers scale o Fine-grained security o Improved SharePoint o Choice of end-user BI tools configuration and performance
  • 14. BI Semantic Model: Architecture Third-party Reporting SharePoint applications Services Excel PowerPivot Insights BI Semantic Model Multi- Tabular Data model dimensional Business MDX DAX logic/queries Data access ROLAP MOLAPVertiPaq Direct Query Databases LOB Applications Files OData Feeds Cloud Services
  • 15. Data Model Tabular Multidimensional Familiar model, easier to Sophisticated model, higher learning build, faster time curve to solution Advanced concepts baked into the Advanced concepts (parent- model child, many-to-many) not available and optimized (parent-child, many- natively in the model… need to-many, attribute relationships, key calculations to simulate these vs. name, etc.) Easy to wrap a model over a raw Ideally suited for OLAP type apps database (e.g. or warehouse for reporting & planning, budgeting, forecasting) analytics that need the power of the multidimensional model
  • 16. Business Logic DAX MDX Based on Excel formulas and Based on understanding of relational concepts – easy to get multidimensional concepts – higher started initial learning curve Complex solutions require steeper Complex solutions require steeper learning curve – row/filter learning curve – context, Calculate, etc. CurrentMember, overwrite semantics, etc. Calculated columns enable new scenarios, however no named sets Ideally suited for apps that need the or calc members power of multidimensional calculations – scopes, assignments, calc members
  • 17. PowerView is NOT Crescent is an interactive data exploration and visual presentation experience. • Does not replace RB 2.0, 3.0 or BIDS • Not a goal to edit or add new interactivity to Dev/IT Pro reports built in RB or BIDS • Not a high-end analysis experience – Not a goal to provide complex calculation building • Not a cell-based calculation tool • Not a forecasting/write back tool • Not a replacement for PPS scorecards or ProClarity
  • 18. Report Designer Report Builder Project “Crescent” Embedded Operational Business
  • 20. Questions • rbodla@hitachiconsulting.com • http://www.linkedin.com/pub/ravi-bodla/0/586/96b • http://www.hitachiconsulting.com Demo Environment: http://blogs.msdn.com/b/oneclickbi/archive/2011/07/ 21/getting-up-and-running-with-sql-server-denali-for- business-intelligence-crescent-and-powerpivot-in- ctp3.aspx
  • 21. We want your feedback! Use this QR code or visit: http://sps.la/feedback Silver Sponsors:
  • 22. Victory Lap- social event "SharePoint Victory Lap" Social Event for SPSLA will be at: 5:30pm to 8pm at Di Piazzas (5205 E. Pacific Coast Hwy, 90804)

Editor's Notes

  1. Where do we want to take this product. Multi-release, multi-year vision for the productSometimes you want fast time to solution, sometimes you want complex calculations and huge scaleBISM is the name we give to Analysis Services that encompasses these goalsSession Talk------------------------now when we started SQL server Denali, at the beginning of the planning stages we say let’s take a step back, where do we want to take this product not just for Denali, but for multiple releases. Let’s come up with vision for this product where it take Microsoft BI, and come up with multi release vision that we can articulate and then deliver on over a period of multiple releases with Denali being the first release. According to the coordination of AS the --familiar with sort of conceived almost a year back and we were studying --vision and we target a good time to takes talk --sorts of applications customers are building or want to build and we want to come up with a vision that captures those needs.So first of all we said we have got a very rich and large ecosystem, developers, partners IPSVs, we want to carry this ecosystem forward in a seamless manner we don’t want the community to learn start things from scratch, community to build the top of work they already have, at the same time we want to extend the reach of Microsoft BI, so if you go the typical IT conference let’s like Microsoft Tech-head and you can ask around what do you think about BI, you can get some people would say hmm, I have heard about it but not really sure about that what it is, you can hear few people say I have heard all up about multi-dimension modeling and BI can do the legal things but it seems like something that’s complex, high learning curve not sure how to get time to go about getting into that.And on the other hand if you go asking about traditional relational database concepts of SQL you are going to find people are much more receptive to that, there is a certain amount of penetration a certain amount of familiarity with relational database concepts that exists out there and we want to sell of embrace that in BI and in AS. This is where we want this relational data modeling because in order to --more IT professionals and developers that are familiar with that, at the same time we recognize that what AS have today with multi-dimensional modeling, with level of richness and scale on the --- so we want to keep that an essential that provides the best of both ways. We recognize that BI applications don’t come in single shaper size they have varying needs; some applications need tremendous requirements in terms of scales and performance, some application have a lot of needs in terms of calculation complexity, there are lot of BI applications that need rapid attritions, there is a lot of time hear from customers coming and saying my usage have a need and for me to go provision fund project --go through the --process of ETL and --development report development, all of that takes a long time and I’d like to be able to iterate really fast, and some of these things. So that’s another requirement that we hear from --we need we would like this platform to be able to provide the flexibility that it can meet all of these needs, based on the needs of your applications. So kind of the BI Semantic model is it on we use, to capture this vision, the vision that takes into account all of these needs or all of these principles that we have outlined here.
  2. Carry forward the existing ecosystem of client applicationsLook a bit deeper into the conceptual architectureCall out PowerPivot as a clientMDX versus DAXData access: cache the data or pass it through Vertipaq new in-memorycolunmstore, compression, blazing fast perf. No aggregations or tuning. Same as PowerPivot for Excel and SharePoint.Session Talk------------------Let’s just get into the details of the model, so here is a conceptual architecture of the BI Semantic model, at the bottom you see a list of data sources. The model can consume data from a variety of data services; you have got classic relational databases, SQL server, Oracle data unit, all of the traditional relational databases ---pull in data from all data fields in SharePoint list, for example ----you can pull data out of those, you can pull data from Facebook and in a Netflix if you want, anything all of the public data services that are exposed by all data, you can consume SQL --report data service. So, the idea is that we want to make sure that pretty much you got data there in any form, even in text file or excel workbook sitting on a desktop, you should be able to consume that into your model.And then finally the model does a bunch of transformation with the data and serves a top to variety of client tools, the client tools in Microsoft BI stack are listed there if got reporting services, for both professional and operational reporting as well as ad-hoc reporting with crescent, you have got excel, you have got SharePoint inside which is the --for the BI capabilities in SharePoint which is performance points scorecards and dashboards and so-forth. The analysis service continues to expose a rich set of public API for client tools to consume those already from a rich ecosystem of client tools out there. They are not built by Microsoft and you have got tools like ---a number of tools and all of these tools continue to be supported and so we expect that there will be a significant number of third party tools built on analysis services as well. And then you have got PowerPivot as well which is very interesting, right? This is kind of take a little bit of time to think about it, PowerPivot itself has a semantic model embedded inside it, the user doesn’t know about it, the user is just doing his job in excel and then a model gets --out but that model inside PowerPivot can also consume data from professional model that is available on analysis services server so you can essentially let an IT put out an application which consist of BI semantic model, on an AS server, then an information worker can then launch PowerPivot may be take a portion of that data in model and then mashed up with some other personal data that they might have and then build essentially a new model, so that’s kind of builds up interesting scenarios as well.So, let’s look at inside the model, as what is in the model, so we like to think of the model in terms of three layers, the data model layer, the business logic and query layer and the data access layer. So walking from the bottom up, the data access layer is essentially the layer that consolidates the data from the variety of data sources that you have and then --to the higher level in this stack, now the data can be cashed, or the data can be passed through. Cashing the data in analysis services knows how to optimize the data, compress the data and aggregate the data as needed, and essentially make it available in a form that interacting with the data comes really-really fast. That’s can a high your usage get that response time at the speed of top, and we have got them all up engine, this is the traditional engine for cashing in analysis services, and we’ve got a brand new in memory --engine called the work pack engine, that is introduced in Denali, that enables cashing as well and then you have got a couple of different ways you have got roll up and a new mode called direct query. That enables you to pass through the access to the data, so you have got an application where you absolutely don’t want to cash the data, you want the queries to be pass through to the back end data source, and you can do that as well. It’s traditionally possible with roll-up, with some limitation and direct query is a new mode that we are introducing that will also let you pass through the access to the data, and we’ll cover that in more details. Business logic, once you have pulled in the data then you have decided whether you want to may be cash the data so that your users get fast performance, fast access to the data and one of the big elements of being data modeling in analysis services is to enrich the model because this model is the one place where all of your business rules are defined. If you have got sales model that is and you have a business matrices that defines how your sales are doing, your -related to previous periods, may be you have certain KPI or matric that defines your measure of success or failure with regards to some business goals, well, you want all of the end users regardless to what will be the reason, to see the same central definition of those matrices, or business rules, and analysis services offered with MDX and DAX --expressional languages to define those rules. And our MDX is being with AS for several releases so it cannot become the defective standard in the industry, you’ll for multi-dimension data access, but with PowerPivot we introduced DAX- data analysis expressions, which is an expression language sort of based on excel formulas, the goal there was to reduce the barrier to entry we’ve acknowledge that MDX while extremely rich and sophisticated powerful the barrier to entry buzz exist there to learning curve involved with MDX and with DAX we try to reduce that barrier to entry, the idea is with information workers and professionals if you are familiar with relational database concepts, tabular concepts, tables and columns and relationship navigation the barrier to entry with DAX is going to be much lower. And there is an entire session devoted to DAX, either today or tomorrow and so I’d encourage you to go and attend that one. And then finally we’ve got the data model, now the data model is to look to at it, one is that the data model is a model that developer works with so the model developer can work with the multi-dimensional model when building a model or work with a tabular interface.Now you guys use AS today, so you are familiar with the multi-dimensional paradigm of major groups of dimensions that what john was showing you the demo was a completely different paradigm it was just the tables and relationships interface to building models, so you have both options and regardless of which option you use the client tool can then choose to consume the model in either of the two ways, so if the client tool happen to be excel, excel just consumes the model as a multi-dimensional model because excel was built and that multi-dimensional model is more conducive to interactive analysis but crescent chooses to consume it using the tabular interface. Okay, so one of the points that I want to make here is, this model is a hybrid model, it’s a blend of both relational and multi-dimensional modeling