SlideShare ist ein Scribd-Unternehmen logo
1 von 28
VISUALISING THE TABULAR MODEL
In PowerView
A long time ago, in a galaxy far far away, someone decided to
                                                                make Jen a SQL Server MVP when she proved that you don’t
                                                                need a social life if you have data.
                                                                Despite being a little short to be a Stormtrooper, she uses the
                                                                Force as a knowledge and defence against the Phantom Menace -
                                                                Pie Charts, believing they lead to the Dark Side.

                                                                This is her story.
 © 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.
The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market
    conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation.
                                        MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.
AGENDA
• What is the Tabular Model?
• What is Power View?

• Tabular Model and Power View together
What is the Tabular Model?

 © 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.
The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market
    conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation.
                                        MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.
WHAT IS THE TABULAR MODEL?

•   What?
•   When?
•   Why?
•   Who?
•   How?
OBJECTIVES
    Third-party       Reporting                                                                SharePoint
                                            Power           Excel            PowerPivot
    applications       Services                                                                 Insights
                                             View




          Databases      LOB Applications           Files           OData Feeds           Cloud Services
OBJECTIVES
     Third-party     Reporting                                                                SharePoint
                                           Power           Excel            PowerPivot
    applications     Services                                                                  Insights
                                            View




         Databases      LOB Applications           Files           OData Feeds           Cloud Services
TABULAR MODEL

• Part of the BISM vision
• xVelocity in-memory engine
• Compression ratio of tables
• Based on the relational data model
 • Familiarity
 • Easier to learn and use

                                       8
NEW BI SEMANTIC MODEL FEATURES
• Richer Models
  •   KPIs
  •   Descriptions
  •   Persisted formatting
  •   Advanced sorting
  •   Distinct count
  •   Drillthrough
  •   Perspectives
  •   Hierarchies
  •   Multiple relationships
TABULAR FEATURES

• New Tabular Projects in BIDS
  •   DirectQuery
  •   Security
  •   Deployment
  •   Data management: Partitioning
• Management of Tabular Databases in SSMS
TABULAR MODEL

• DAX formula language
• When compared with OLAP
 • Faster due to in-memory engine
 • Easier to learn and use




                                    11
SOME EXAMPLE DATA MARKETS

•   Windows Azure Data Market
•   DataMarket.com
•   Factual.com
•   InfoChimps
•   The Guardian Data Store
•   London Data Store
Power View with DAX


                                                                                                                                                 Addition and
                                                                                                                                                                                                Ratios
                                                                                                                                                  Subtraction


                                                                              Power View with DAX

                                                                                                                  Standard
    Time                                                                Inventory                                                                        Text                         Define Your
                                           Rank                                                               Deviation &
Intelligence                                                           Calculations                                                                Functions                        Own Context
                                                                                                                  Variance presentation. Because Microsoft must respond to changing market
  © 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.
 The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this
     conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation.
                                         MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.
What is Power View?

 © 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.
The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market
    conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation.
                                        MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.
REPORTING AND THE RED QUEEN




                              15
REPORTING AND THE RED QUEEN




                              16
WHY NOT JUST TABLES?

Zimbabwean inflation rates (official) since independence
Date   Rate      Date   Rate      Date   Rate        Date   Rate        Date   Rate          Date   Rate


1980   7%        1981   14%       1982   15%         1983   19%         1984   10%           1985   10%


1986   15%       1987   10%       1988   8%          1989   14%         1990   17%           1991   48%


1992   40%       1993   20%       1994   25%         1995   28%         1996   16%           1997   20%


1998   48%       1999   56.9%     2000   55.22%      2001   112.1%      2002   198.93%       2003   598.75%




                                                                               231,150,888
2004   132.75%   2005   585.84%   2006   1,281.11%   2007   66,212.3%   2008
                                                                               .87% (July)




                                                                                                              17
THINKING WITH YOUR EYES




                          18
CHARTJUNK EXAMPLE




                    19
WHAT IS POWER VIEW




     Power View is an interactive
     data exploration and visual
      presentation experience.
ARCHITECTURE


                                  SharePoint Farm
                                                                 SQL Server BIDS
                       Web Front End                App Server    BISM Model
                        SSRS Addin                  RS Shared
wer View via Browser       for                       Service
                        SharePoint                                     AS
                                                 PowerPivot          Server
                        PowerPivot             System Service
                        Web Service
                                                 Analysis
                                                Services SP
                                                Integrated
Excel PowerPivot
      Model                                                              Data sources
Tabular Model and Power
                                                                View - Together

 © 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.
The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market
    conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation.
                                        MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.
TABULAR MODEL AND POWER VIEW TOGETHER

• Business Question - setting context, what is the end user
  impression?
• Change Visualisations on the fly
   • Line Chart to a Scatter chart
• Go from SUM to Average
• Sorting to assist comparison


                                                              23
TABULAR MODEL AND POWER VIEW TOGETHER

• Random sample of data
• Table with default columns
• Year – Sigma Sign
• Refresh
  • Refresh in PowerView - only refreshes the data
  • Refresh in the browser - refreshes the metadata




                                                      24
TABULAR MODEL AND POWER VIEW TOGETHER

• How does Power View know how to get the metadata?
• We have a new discover command that is executed.
• You can run a trace against the tabular model. This will show you the
  DAX that is being created 'on the fly'.




                                                                          25
TABULAR MODEL AND POWER VIEW TOGETHER

•   Summary
•   Focus always on the user
•   Make things as easy for them, as possible
•   Power View – the user does not have responsibility, and therefore does
    not have power




                                                                             26
jenstirrup@
jenstirrup.com   www.jenstirrup.com




Jen Stirrup      @jenstirrup
Visualising the tabular model for power view upload

Weitere ähnliche Inhalte

Andere mochten auch

Big Data in the Cloud - Montreal April 2015
Big Data in the Cloud - Montreal April 2015Big Data in the Cloud - Montreal April 2015
Big Data in the Cloud - Montreal April 2015Cindy Gross
 
Digital Pragmatism with Business Intelligence, Big Data and Data Visualisation
Digital Pragmatism with Business Intelligence, Big Data and Data VisualisationDigital Pragmatism with Business Intelligence, Big Data and Data Visualisation
Digital Pragmatism with Business Intelligence, Big Data and Data VisualisationJen Stirrup
 
Cloud Computing Architecture Primer
Cloud Computing Architecture PrimerCloud Computing Architecture Primer
Cloud Computing Architecture PrimerIlham Ahmed
 
System Quality Attributes for Software Architecture
System Quality Attributes for Software ArchitectureSystem Quality Attributes for Software Architecture
System Quality Attributes for Software ArchitectureAdnan Masood
 
Windows Azure HDInsight Service
Windows Azure HDInsight ServiceWindows Azure HDInsight Service
Windows Azure HDInsight ServiceNeil Mackenzie
 
How Universities Use Big Data to Transform Education
How Universities Use Big Data to Transform EducationHow Universities Use Big Data to Transform Education
How Universities Use Big Data to Transform EducationHortonworks
 
Hive - 1455: Cloud Storage
Hive - 1455: Cloud StorageHive - 1455: Cloud Storage
Hive - 1455: Cloud StorageHortonworks
 
Building big data solutions on azure
Building big data solutions on azureBuilding big data solutions on azure
Building big data solutions on azureEyal Ben Ivri
 
How to Use Apache Zeppelin with HWX HDB
How to Use Apache Zeppelin with HWX HDBHow to Use Apache Zeppelin with HWX HDB
How to Use Apache Zeppelin with HWX HDBHortonworks
 
Building the Data Lake with Azure Data Factory and Data Lake Analytics
Building the Data Lake with Azure Data Factory and Data Lake AnalyticsBuilding the Data Lake with Azure Data Factory and Data Lake Analytics
Building the Data Lake with Azure Data Factory and Data Lake AnalyticsKhalid Salama
 
Dynamic Column Masking and Row-Level Filtering in HDP
Dynamic Column Masking and Row-Level Filtering in HDPDynamic Column Masking and Row-Level Filtering in HDP
Dynamic Column Masking and Row-Level Filtering in HDPHortonworks
 
Microsoft cloud big data strategy
Microsoft cloud big data strategyMicrosoft cloud big data strategy
Microsoft cloud big data strategyJames Serra
 
Big Data Analytics in the Cloud with Microsoft Azure
Big Data Analytics in the Cloud with Microsoft AzureBig Data Analytics in the Cloud with Microsoft Azure
Big Data Analytics in the Cloud with Microsoft AzureMark Kromer
 
Modern Data Architecture for a Data Lake with Informatica and Hortonworks Dat...
Modern Data Architecture for a Data Lake with Informatica and Hortonworks Dat...Modern Data Architecture for a Data Lake with Informatica and Hortonworks Dat...
Modern Data Architecture for a Data Lake with Informatica and Hortonworks Dat...Hortonworks
 
Data science with Windows Azure - A Brief Introduction
Data science with Windows Azure - A Brief IntroductionData science with Windows Azure - A Brief Introduction
Data science with Windows Azure - A Brief IntroductionAdnan Masood
 
Spark with Azure HDInsight - Tampa Bay Data Science - Adnan Masood, PhD
Spark with Azure HDInsight  - Tampa Bay Data Science - Adnan Masood, PhDSpark with Azure HDInsight  - Tampa Bay Data Science - Adnan Masood, PhD
Spark with Azure HDInsight - Tampa Bay Data Science - Adnan Masood, PhDAdnan Masood
 
PASS Summit Data Storytelling with R Power BI and AzureML
PASS Summit Data Storytelling with R Power BI and AzureMLPASS Summit Data Storytelling with R Power BI and AzureML
PASS Summit Data Storytelling with R Power BI and AzureMLJen Stirrup
 

Andere mochten auch (19)

Big Data in the Cloud - Montreal April 2015
Big Data in the Cloud - Montreal April 2015Big Data in the Cloud - Montreal April 2015
Big Data in the Cloud - Montreal April 2015
 
Digital Pragmatism with Business Intelligence, Big Data and Data Visualisation
Digital Pragmatism with Business Intelligence, Big Data and Data VisualisationDigital Pragmatism with Business Intelligence, Big Data and Data Visualisation
Digital Pragmatism with Business Intelligence, Big Data and Data Visualisation
 
Cloud Computing Architecture Primer
Cloud Computing Architecture PrimerCloud Computing Architecture Primer
Cloud Computing Architecture Primer
 
System Quality Attributes for Software Architecture
System Quality Attributes for Software ArchitectureSystem Quality Attributes for Software Architecture
System Quality Attributes for Software Architecture
 
Windows Azure HDInsight Service
Windows Azure HDInsight ServiceWindows Azure HDInsight Service
Windows Azure HDInsight Service
 
How Universities Use Big Data to Transform Education
How Universities Use Big Data to Transform EducationHow Universities Use Big Data to Transform Education
How Universities Use Big Data to Transform Education
 
Hive - 1455: Cloud Storage
Hive - 1455: Cloud StorageHive - 1455: Cloud Storage
Hive - 1455: Cloud Storage
 
Building big data solutions on azure
Building big data solutions on azureBuilding big data solutions on azure
Building big data solutions on azure
 
How to Use Apache Zeppelin with HWX HDB
How to Use Apache Zeppelin with HWX HDBHow to Use Apache Zeppelin with HWX HDB
How to Use Apache Zeppelin with HWX HDB
 
Big Data Application Architectures - Fraud Detection
Big Data Application Architectures - Fraud DetectionBig Data Application Architectures - Fraud Detection
Big Data Application Architectures - Fraud Detection
 
Building the Data Lake with Azure Data Factory and Data Lake Analytics
Building the Data Lake with Azure Data Factory and Data Lake AnalyticsBuilding the Data Lake with Azure Data Factory and Data Lake Analytics
Building the Data Lake with Azure Data Factory and Data Lake Analytics
 
Dynamic Column Masking and Row-Level Filtering in HDP
Dynamic Column Masking and Row-Level Filtering in HDPDynamic Column Masking and Row-Level Filtering in HDP
Dynamic Column Masking and Row-Level Filtering in HDP
 
Microsoft cloud big data strategy
Microsoft cloud big data strategyMicrosoft cloud big data strategy
Microsoft cloud big data strategy
 
Big Data Analytics in the Cloud with Microsoft Azure
Big Data Analytics in the Cloud with Microsoft AzureBig Data Analytics in the Cloud with Microsoft Azure
Big Data Analytics in the Cloud with Microsoft Azure
 
Big Data in Azure
Big Data in AzureBig Data in Azure
Big Data in Azure
 
Modern Data Architecture for a Data Lake with Informatica and Hortonworks Dat...
Modern Data Architecture for a Data Lake with Informatica and Hortonworks Dat...Modern Data Architecture for a Data Lake with Informatica and Hortonworks Dat...
Modern Data Architecture for a Data Lake with Informatica and Hortonworks Dat...
 
Data science with Windows Azure - A Brief Introduction
Data science with Windows Azure - A Brief IntroductionData science with Windows Azure - A Brief Introduction
Data science with Windows Azure - A Brief Introduction
 
Spark with Azure HDInsight - Tampa Bay Data Science - Adnan Masood, PhD
Spark with Azure HDInsight  - Tampa Bay Data Science - Adnan Masood, PhDSpark with Azure HDInsight  - Tampa Bay Data Science - Adnan Masood, PhD
Spark with Azure HDInsight - Tampa Bay Data Science - Adnan Masood, PhD
 
PASS Summit Data Storytelling with R Power BI and AzureML
PASS Summit Data Storytelling with R Power BI and AzureMLPASS Summit Data Storytelling with R Power BI and AzureML
PASS Summit Data Storytelling with R Power BI and AzureML
 

Ähnlich wie Visualising the tabular model for power view upload

Real-time SQL Access for Your Salesforce.com Data
Real-time SQL Access for Your Salesforce.com DataReal-time SQL Access for Your Salesforce.com Data
Real-time SQL Access for Your Salesforce.com DataSalesforce Developers
 
Microsoft SQL Server - The Information Platform Vision Presentation
Microsoft SQL Server - The Information Platform Vision PresentationMicrosoft SQL Server - The Information Platform Vision Presentation
Microsoft SQL Server - The Information Platform Vision PresentationMicrosoft Private Cloud
 
Harish Aspnet Dynamic Data
Harish Aspnet Dynamic DataHarish Aspnet Dynamic Data
Harish Aspnet Dynamic Datarsnarayanan
 
Machine Learning system architecture – Microsoft Translator, a Case Study : ...
Machine Learning system architecture – Microsoft Translator, a Case Study :  ...Machine Learning system architecture – Microsoft Translator, a Case Study :  ...
Machine Learning system architecture – Microsoft Translator, a Case Study : ...Vishal Chowdhary
 
Integrating Structure and Analytics with Unstructured Data
Integrating Structure and Analytics with Unstructured DataIntegrating Structure and Analytics with Unstructured Data
Integrating Structure and Analytics with Unstructured DataDATAVERSITY
 
Force.com: A Walk on the Enterprise Side
Force.com: A Walk on the Enterprise SideForce.com: A Walk on the Enterprise Side
Force.com: A Walk on the Enterprise SidePat Patterson
 
Modern Business Intelligence - Design and Implementations
Modern Business Intelligence - Design and ImplementationsModern Business Intelligence - Design and Implementations
Modern Business Intelligence - Design and ImplementationsDavid J Rosenthal
 
Data Integration for Both Self-Service Analytics and IT Users
Data Integration for Both Self-Service Analytics and IT Users Data Integration for Both Self-Service Analytics and IT Users
Data Integration for Both Self-Service Analytics and IT Users Senturus
 
Data-Centric Composites and Mashups in SharePoint 2010 - TechEd Middle East
Data-Centric Composites and Mashups in SharePoint 2010 - TechEd Middle EastData-Centric Composites and Mashups in SharePoint 2010 - TechEd Middle East
Data-Centric Composites and Mashups in SharePoint 2010 - TechEd Middle EastAyman El-Hattab
 
ADO.NET Entity Framework
ADO.NET Entity FrameworkADO.NET Entity Framework
ADO.NET Entity Frameworkukdpe
 
Kelley Blue Book and Cloud Computing
Kelley Blue Book and Cloud ComputingKelley Blue Book and Cloud Computing
Kelley Blue Book and Cloud ComputingDavid Chou
 
Leveraging PowerPivot
Leveraging PowerPivotLeveraging PowerPivot
Leveraging PowerPivotDan English
 
Informatica agile virtualization apr17 2012
Informatica agile virtualization apr17 2012Informatica agile virtualization apr17 2012
Informatica agile virtualization apr17 2012sahatwilliams
 
VDI Infraestructure
VDI InfraestructureVDI Infraestructure
VDI InfraestructureJuanchi_43
 
Aen004 Thorpe 091807
Aen004 Thorpe 091807Aen004 Thorpe 091807
Aen004 Thorpe 091807Dreamforce07
 
Leveraging BI and Predictive Analytics to deliver Real time forecasting
Leveraging BI and Predictive Analytics to deliver Real time forecastingLeveraging BI and Predictive Analytics to deliver Real time forecasting
Leveraging BI and Predictive Analytics to deliver Real time forecastingShyam Desigan
 
Healthcare cio summit dallas feb 2013
Healthcare cio summit dallas feb 2013Healthcare cio summit dallas feb 2013
Healthcare cio summit dallas feb 2013Shyam Desigan
 
Healthcare cio summit dallas feb 2013
Healthcare cio summit dallas feb 2013Healthcare cio summit dallas feb 2013
Healthcare cio summit dallas feb 2013Shyam Desigan
 

Ähnlich wie Visualising the tabular model for power view upload (20)

Real-time SQL Access for Your Salesforce.com Data
Real-time SQL Access for Your Salesforce.com DataReal-time SQL Access for Your Salesforce.com Data
Real-time SQL Access for Your Salesforce.com Data
 
Microsoft SQL Server - The Information Platform Vision Presentation
Microsoft SQL Server - The Information Platform Vision PresentationMicrosoft SQL Server - The Information Platform Vision Presentation
Microsoft SQL Server - The Information Platform Vision Presentation
 
Harish Aspnet Dynamic Data
Harish Aspnet Dynamic DataHarish Aspnet Dynamic Data
Harish Aspnet Dynamic Data
 
Machine Learning system architecture – Microsoft Translator, a Case Study : ...
Machine Learning system architecture – Microsoft Translator, a Case Study :  ...Machine Learning system architecture – Microsoft Translator, a Case Study :  ...
Machine Learning system architecture – Microsoft Translator, a Case Study : ...
 
Integrating Structure and Analytics with Unstructured Data
Integrating Structure and Analytics with Unstructured DataIntegrating Structure and Analytics with Unstructured Data
Integrating Structure and Analytics with Unstructured Data
 
Force.com: A Walk on the Enterprise Side
Force.com: A Walk on the Enterprise SideForce.com: A Walk on the Enterprise Side
Force.com: A Walk on the Enterprise Side
 
Modern Business Intelligence - Design and Implementations
Modern Business Intelligence - Design and ImplementationsModern Business Intelligence - Design and Implementations
Modern Business Intelligence - Design and Implementations
 
Data Integration for Both Self-Service Analytics and IT Users
Data Integration for Both Self-Service Analytics and IT Users Data Integration for Both Self-Service Analytics and IT Users
Data Integration for Both Self-Service Analytics and IT Users
 
Taming data lake - scalable metrics model
Taming data lake - scalable metrics modelTaming data lake - scalable metrics model
Taming data lake - scalable metrics model
 
Data-Centric Composites and Mashups in SharePoint 2010 - TechEd Middle East
Data-Centric Composites and Mashups in SharePoint 2010 - TechEd Middle EastData-Centric Composites and Mashups in SharePoint 2010 - TechEd Middle East
Data-Centric Composites and Mashups in SharePoint 2010 - TechEd Middle East
 
project_real_wp
project_real_wpproject_real_wp
project_real_wp
 
ADO.NET Entity Framework
ADO.NET Entity FrameworkADO.NET Entity Framework
ADO.NET Entity Framework
 
Kelley Blue Book and Cloud Computing
Kelley Blue Book and Cloud ComputingKelley Blue Book and Cloud Computing
Kelley Blue Book and Cloud Computing
 
Leveraging PowerPivot
Leveraging PowerPivotLeveraging PowerPivot
Leveraging PowerPivot
 
Informatica agile virtualization apr17 2012
Informatica agile virtualization apr17 2012Informatica agile virtualization apr17 2012
Informatica agile virtualization apr17 2012
 
VDI Infraestructure
VDI InfraestructureVDI Infraestructure
VDI Infraestructure
 
Aen004 Thorpe 091807
Aen004 Thorpe 091807Aen004 Thorpe 091807
Aen004 Thorpe 091807
 
Leveraging BI and Predictive Analytics to deliver Real time forecasting
Leveraging BI and Predictive Analytics to deliver Real time forecastingLeveraging BI and Predictive Analytics to deliver Real time forecasting
Leveraging BI and Predictive Analytics to deliver Real time forecasting
 
Healthcare cio summit dallas feb 2013
Healthcare cio summit dallas feb 2013Healthcare cio summit dallas feb 2013
Healthcare cio summit dallas feb 2013
 
Healthcare cio summit dallas feb 2013
Healthcare cio summit dallas feb 2013Healthcare cio summit dallas feb 2013
Healthcare cio summit dallas feb 2013
 

Mehr von Jen Stirrup

AI Applications in Healthcare and Medicine.pdf
AI Applications in Healthcare and Medicine.pdfAI Applications in Healthcare and Medicine.pdf
AI Applications in Healthcare and Medicine.pdfJen Stirrup
 
BUILDING A STRONG FOUNDATION FOR SUCCESS WITH BI AND DIGITAL TRANSFORMATION
BUILDING A STRONG FOUNDATION FOR SUCCESS WITH BI AND DIGITAL TRANSFORMATIONBUILDING A STRONG FOUNDATION FOR SUCCESS WITH BI AND DIGITAL TRANSFORMATION
BUILDING A STRONG FOUNDATION FOR SUCCESS WITH BI AND DIGITAL TRANSFORMATIONJen Stirrup
 
CuRious about R in Power BI? End to end R in Power BI for beginners
CuRious about R in Power BI? End to end R in Power BI for beginners CuRious about R in Power BI? End to end R in Power BI for beginners
CuRious about R in Power BI? End to end R in Power BI for beginners Jen Stirrup
 
Artificial Intelligence Ethics keynote: With Great Power, comes Great Respons...
Artificial Intelligence Ethics keynote: With Great Power, comes Great Respons...Artificial Intelligence Ethics keynote: With Great Power, comes Great Respons...
Artificial Intelligence Ethics keynote: With Great Power, comes Great Respons...Jen Stirrup
 
1 Introduction to Microsoft data platform analytics for release
1 Introduction to Microsoft data platform analytics for release1 Introduction to Microsoft data platform analytics for release
1 Introduction to Microsoft data platform analytics for releaseJen Stirrup
 
5 Comparing Microsoft Big Data Technologies for Analytics
5 Comparing Microsoft Big Data Technologies for Analytics5 Comparing Microsoft Big Data Technologies for Analytics
5 Comparing Microsoft Big Data Technologies for AnalyticsJen Stirrup
 
Comparing Microsoft Big Data Platform Technologies
Comparing Microsoft Big Data Platform TechnologiesComparing Microsoft Big Data Platform Technologies
Comparing Microsoft Big Data Platform TechnologiesJen Stirrup
 
Introduction to Analytics with Azure Notebooks and Python
Introduction to Analytics with Azure Notebooks and PythonIntroduction to Analytics with Azure Notebooks and Python
Introduction to Analytics with Azure Notebooks and PythonJen Stirrup
 
Sales Analytics in Power BI
Sales Analytics in Power BISales Analytics in Power BI
Sales Analytics in Power BIJen Stirrup
 
Analytics for Marketing
Analytics for MarketingAnalytics for Marketing
Analytics for MarketingJen Stirrup
 
Diversity and inclusion for the newbies and doers
Diversity and inclusion for the newbies and doersDiversity and inclusion for the newbies and doers
Diversity and inclusion for the newbies and doersJen Stirrup
 
Artificial Intelligence from the Business perspective
Artificial Intelligence from the Business perspectiveArtificial Intelligence from the Business perspective
Artificial Intelligence from the Business perspectiveJen Stirrup
 
How to be successful with Artificial Intelligence - from small to success
How to be successful with Artificial Intelligence - from small to successHow to be successful with Artificial Intelligence - from small to success
How to be successful with Artificial Intelligence - from small to successJen Stirrup
 
Artificial Intelligence: Winning the Red Queen’s Race Keynote at ESPC with Je...
Artificial Intelligence: Winning the Red Queen’s Race Keynote at ESPC with Je...Artificial Intelligence: Winning the Red Queen’s Race Keynote at ESPC with Je...
Artificial Intelligence: Winning the Red Queen’s Race Keynote at ESPC with Je...Jen Stirrup
 
Data Visualization dataviz superpower
Data Visualization dataviz superpowerData Visualization dataviz superpower
Data Visualization dataviz superpowerJen Stirrup
 
R - what do the numbers mean? #RStats
R - what do the numbers mean? #RStatsR - what do the numbers mean? #RStats
R - what do the numbers mean? #RStatsJen Stirrup
 
Artificial Intelligence and Deep Learning in Azure, CNTK and Tensorflow
Artificial Intelligence and Deep Learning in Azure, CNTK and TensorflowArtificial Intelligence and Deep Learning in Azure, CNTK and Tensorflow
Artificial Intelligence and Deep Learning in Azure, CNTK and TensorflowJen Stirrup
 
Blockchain Demystified for Business Intelligence Professionals
Blockchain Demystified for Business Intelligence ProfessionalsBlockchain Demystified for Business Intelligence Professionals
Blockchain Demystified for Business Intelligence ProfessionalsJen Stirrup
 
Examples of the worst data visualization ever
Examples of the worst data visualization everExamples of the worst data visualization ever
Examples of the worst data visualization everJen Stirrup
 
Lighting up Big Data Analytics with Apache Spark in Azure
Lighting up Big Data Analytics with Apache Spark in AzureLighting up Big Data Analytics with Apache Spark in Azure
Lighting up Big Data Analytics with Apache Spark in AzureJen Stirrup
 

Mehr von Jen Stirrup (20)

AI Applications in Healthcare and Medicine.pdf
AI Applications in Healthcare and Medicine.pdfAI Applications in Healthcare and Medicine.pdf
AI Applications in Healthcare and Medicine.pdf
 
BUILDING A STRONG FOUNDATION FOR SUCCESS WITH BI AND DIGITAL TRANSFORMATION
BUILDING A STRONG FOUNDATION FOR SUCCESS WITH BI AND DIGITAL TRANSFORMATIONBUILDING A STRONG FOUNDATION FOR SUCCESS WITH BI AND DIGITAL TRANSFORMATION
BUILDING A STRONG FOUNDATION FOR SUCCESS WITH BI AND DIGITAL TRANSFORMATION
 
CuRious about R in Power BI? End to end R in Power BI for beginners
CuRious about R in Power BI? End to end R in Power BI for beginners CuRious about R in Power BI? End to end R in Power BI for beginners
CuRious about R in Power BI? End to end R in Power BI for beginners
 
Artificial Intelligence Ethics keynote: With Great Power, comes Great Respons...
Artificial Intelligence Ethics keynote: With Great Power, comes Great Respons...Artificial Intelligence Ethics keynote: With Great Power, comes Great Respons...
Artificial Intelligence Ethics keynote: With Great Power, comes Great Respons...
 
1 Introduction to Microsoft data platform analytics for release
1 Introduction to Microsoft data platform analytics for release1 Introduction to Microsoft data platform analytics for release
1 Introduction to Microsoft data platform analytics for release
 
5 Comparing Microsoft Big Data Technologies for Analytics
5 Comparing Microsoft Big Data Technologies for Analytics5 Comparing Microsoft Big Data Technologies for Analytics
5 Comparing Microsoft Big Data Technologies for Analytics
 
Comparing Microsoft Big Data Platform Technologies
Comparing Microsoft Big Data Platform TechnologiesComparing Microsoft Big Data Platform Technologies
Comparing Microsoft Big Data Platform Technologies
 
Introduction to Analytics with Azure Notebooks and Python
Introduction to Analytics with Azure Notebooks and PythonIntroduction to Analytics with Azure Notebooks and Python
Introduction to Analytics with Azure Notebooks and Python
 
Sales Analytics in Power BI
Sales Analytics in Power BISales Analytics in Power BI
Sales Analytics in Power BI
 
Analytics for Marketing
Analytics for MarketingAnalytics for Marketing
Analytics for Marketing
 
Diversity and inclusion for the newbies and doers
Diversity and inclusion for the newbies and doersDiversity and inclusion for the newbies and doers
Diversity and inclusion for the newbies and doers
 
Artificial Intelligence from the Business perspective
Artificial Intelligence from the Business perspectiveArtificial Intelligence from the Business perspective
Artificial Intelligence from the Business perspective
 
How to be successful with Artificial Intelligence - from small to success
How to be successful with Artificial Intelligence - from small to successHow to be successful with Artificial Intelligence - from small to success
How to be successful with Artificial Intelligence - from small to success
 
Artificial Intelligence: Winning the Red Queen’s Race Keynote at ESPC with Je...
Artificial Intelligence: Winning the Red Queen’s Race Keynote at ESPC with Je...Artificial Intelligence: Winning the Red Queen’s Race Keynote at ESPC with Je...
Artificial Intelligence: Winning the Red Queen’s Race Keynote at ESPC with Je...
 
Data Visualization dataviz superpower
Data Visualization dataviz superpowerData Visualization dataviz superpower
Data Visualization dataviz superpower
 
R - what do the numbers mean? #RStats
R - what do the numbers mean? #RStatsR - what do the numbers mean? #RStats
R - what do the numbers mean? #RStats
 
Artificial Intelligence and Deep Learning in Azure, CNTK and Tensorflow
Artificial Intelligence and Deep Learning in Azure, CNTK and TensorflowArtificial Intelligence and Deep Learning in Azure, CNTK and Tensorflow
Artificial Intelligence and Deep Learning in Azure, CNTK and Tensorflow
 
Blockchain Demystified for Business Intelligence Professionals
Blockchain Demystified for Business Intelligence ProfessionalsBlockchain Demystified for Business Intelligence Professionals
Blockchain Demystified for Business Intelligence Professionals
 
Examples of the worst data visualization ever
Examples of the worst data visualization everExamples of the worst data visualization ever
Examples of the worst data visualization ever
 
Lighting up Big Data Analytics with Apache Spark in Azure
Lighting up Big Data Analytics with Apache Spark in AzureLighting up Big Data Analytics with Apache Spark in Azure
Lighting up Big Data Analytics with Apache Spark in Azure
 

Kürzlich hochgeladen

08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUK Journal
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024Results
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessPixlogix Infotech
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 

Kürzlich hochgeladen (20)

08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 

Visualising the tabular model for power view upload

  • 1. VISUALISING THE TABULAR MODEL In PowerView
  • 2. A long time ago, in a galaxy far far away, someone decided to make Jen a SQL Server MVP when she proved that you don’t need a social life if you have data. Despite being a little short to be a Stormtrooper, she uses the Force as a knowledge and defence against the Phantom Menace - Pie Charts, believing they lead to the Dark Side. This is her story. © 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.
  • 3. AGENDA • What is the Tabular Model? • What is Power View? • Tabular Model and Power View together
  • 4. What is the Tabular Model? © 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.
  • 5. WHAT IS THE TABULAR MODEL? • What? • When? • Why? • Who? • How?
  • 6. OBJECTIVES Third-party Reporting SharePoint Power Excel PowerPivot applications Services Insights View Databases LOB Applications Files OData Feeds Cloud Services
  • 7. OBJECTIVES Third-party Reporting SharePoint Power Excel PowerPivot applications Services Insights View Databases LOB Applications Files OData Feeds Cloud Services
  • 8. TABULAR MODEL • Part of the BISM vision • xVelocity in-memory engine • Compression ratio of tables • Based on the relational data model • Familiarity • Easier to learn and use 8
  • 9. NEW BI SEMANTIC MODEL FEATURES • Richer Models • KPIs • Descriptions • Persisted formatting • Advanced sorting • Distinct count • Drillthrough • Perspectives • Hierarchies • Multiple relationships
  • 10. TABULAR FEATURES • New Tabular Projects in BIDS • DirectQuery • Security • Deployment • Data management: Partitioning • Management of Tabular Databases in SSMS
  • 11. TABULAR MODEL • DAX formula language • When compared with OLAP • Faster due to in-memory engine • Easier to learn and use 11
  • 12. SOME EXAMPLE DATA MARKETS • Windows Azure Data Market • DataMarket.com • Factual.com • InfoChimps • The Guardian Data Store • London Data Store
  • 13. Power View with DAX Addition and Ratios Subtraction Power View with DAX Standard Time Inventory Text Define Your Rank Deviation & Intelligence Calculations Functions Own Context Variance presentation. Because Microsoft must respond to changing market © 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.
  • 14. What is Power View? © 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.
  • 15. REPORTING AND THE RED QUEEN 15
  • 16. REPORTING AND THE RED QUEEN 16
  • 17. WHY NOT JUST TABLES? Zimbabwean inflation rates (official) since independence Date Rate Date Rate Date Rate Date Rate Date Rate Date Rate 1980 7% 1981 14% 1982 15% 1983 19% 1984 10% 1985 10% 1986 15% 1987 10% 1988 8% 1989 14% 1990 17% 1991 48% 1992 40% 1993 20% 1994 25% 1995 28% 1996 16% 1997 20% 1998 48% 1999 56.9% 2000 55.22% 2001 112.1% 2002 198.93% 2003 598.75% 231,150,888 2004 132.75% 2005 585.84% 2006 1,281.11% 2007 66,212.3% 2008 .87% (July) 17
  • 20. WHAT IS POWER VIEW Power View is an interactive data exploration and visual presentation experience.
  • 21. ARCHITECTURE SharePoint Farm SQL Server BIDS Web Front End App Server BISM Model SSRS Addin RS Shared wer View via Browser for Service SharePoint AS PowerPivot Server PowerPivot System Service Web Service Analysis Services SP Integrated Excel PowerPivot Model Data sources
  • 22. Tabular Model and Power View - Together © 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.
  • 23. TABULAR MODEL AND POWER VIEW TOGETHER • Business Question - setting context, what is the end user impression? • Change Visualisations on the fly • Line Chart to a Scatter chart • Go from SUM to Average • Sorting to assist comparison 23
  • 24. TABULAR MODEL AND POWER VIEW TOGETHER • Random sample of data • Table with default columns • Year – Sigma Sign • Refresh • Refresh in PowerView - only refreshes the data • Refresh in the browser - refreshes the metadata 24
  • 25. TABULAR MODEL AND POWER VIEW TOGETHER • How does Power View know how to get the metadata? • We have a new discover command that is executed. • You can run a trace against the tabular model. This will show you the DAX that is being created 'on the fly'. 25
  • 26. TABULAR MODEL AND POWER VIEW TOGETHER • Summary • Focus always on the user • Make things as easy for them, as possible • Power View – the user does not have responsibility, and therefore does not have power 26
  • 27. jenstirrup@ jenstirrup.com www.jenstirrup.com Jen Stirrup @jenstirrup

Hinweis der Redaktion

  1. Data taken from Princeton’s International Archive network via Robert Kosara