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  Visualizing Data with Microsoft Power View
 

Visualizing Data With Microsoft Power View

by Brian Larson , Mark Davis , Dan English , Paul Purington

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  Visualizing Data with Microsoft Power View shows how to effectively analyze and communicate complex information through elegant interactive reports. Discover how to create and populate tables, connect to databases, build multi-view reports in real-time, and publish your results to end-users. BI Semantic Model development and administration are also covered in this comprehensive volume.

Launch Power View and navigate its user interface
Load BI from SQL databases and external sources
Build basic and multi-level table visualizations
Develop card-, chart-, and matrix-based reports
Incorporate auto-sizing, filtering, tiling, and slicing
Securely distribute reports via SharePoint and PowerPivot
Add functionality with hierarchies, perspectives, and KPIs
Design, deploy, and support custom BI Semantic Models

About the Author
Brian Larson is the Vice President of Technology for Superior Consulting Services (SCS), a Microsoft Certified Partner.

Mark Davis is Business Intelligence Practice Manager with Superior Consulting Services in Minneapolis.

Dan English is a Microsoft SQL Server MVP, a MCITP Business Intelligence Developer for Microsoft SQL Server 2005 and 2008, and an MCTS for Microsoft Office SharePoint Server 2007 Configuring.

Paul Purington MCITP, is a partner and member of the management team at Superior Consulting Services.

Table of Contents
Part I Using Power View
Chapter 1 Getting Started
Chapter 2 The Table Visualization
Chapter 3 Additional Visualizations
Chapter 4 Charting
Chapter 5 Bringing Your Data to Life
Chapter 6 Sharing Reports
Part II Creating a BI Semantic Model (BISM)
Chapter 7 BISM: Getting Started
Chapter 8 Basic BI Semantic Model Design
Chapter 9 BI Semantic Model: Additional Model Features
Chapter 10 Using DAX Expressions
Chapter 11 Deploying Tabular BI Semantic Models
Part III Appendixes
Appendix A Installing and Configuring the Sample Data ISBN
9781259060991
 


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