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Original Essays | September 17, 2014

Merritt Tierce: IMG Has My Husband Read It?



My first novel, Love Me Back, was published on September 16. Writing the book took seven years, and along the way three chapters were published in... Continue »
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    Love Me Back

    Merritt Tierce 9780385538077

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Visualizing Data with Microsoft Power View

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Synopses & Reviews

Publisher Comments:

Create and Distribute High-impact Microsoft Power View Reports

Explore data in insightful new ways and transform the way your enterprise uses BI with help from this expert guide. 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

DVD includes: More than four hours of video demonstrations A complete package of sample data--a Power View-optimized BI Semantic Model, a SQL Server database, and additional underlying data sources Comprehensive instructions for creating a learning environment, including Windows Server, SharePoint Server 2010, and Microsoft SQL Server 2012 with PowerPivot and Reporting Services SharePoint integration Six completed Power View Reports that include multiple views, visualizations, and performance dashboards BI Semantic Model with advanced extensions using DAX functions, including date and time, mathematical, logical, informational, and statistical functions

Synopsis:

Unlock the power of Microsoft Crescent and build rich BI reports with just a few clicks

Co-written by bestselling BI author Brian Larson, Visualizing Data with Microsoft Crescent provides complete coverage of Microsoft Crescent, the BI tool that enables you to quickly create high-quality, highly interactive reports. This practical guide takes you on a hands-on tour of the capabilities of the Crescent authoring environment and of the tool for creating the semantic models required by Crescent. A series of exercises based on a set of business scenarios provide familiarity with Crescent's features and the semantic modeling process. Instructive, step-by-step Camtasia videos on CD-ROM supplement the written exercises for an in-depth learning experience. More than 30 reusable reports plus all code samples from the book are also on the CD-ROM.

Visualizing Data with Microsoft CrescentTechnically reviewed by Microsoft's Crescent teamFeatures complete, practical examples that are immediately usable in a commercial environmentServes as both a tutorial for learning the product as well as an on-the-job referenceIncludes CD-ROM with 30+ practical, reusable reports, all code samples, and supporting Camtasia animations that walk thru each example

Step-by-step coverage:

Using Crescent; Getting Started; Basic layout; Charting; Maps; Interactivity; Sharing Reports; Creating BI Semantic Models; Getting Started with BISM; Basic BISM Design; Additional Model Features; Using DAX Expressions; Deploying Models; Managing Reports

Product Details

ISBN:
9780071780827
Author:
Larson, Brian Et Al.
Publisher:
McGraw-Hill/Osborne Media
Author:
Larson, Brian
Subject:
Software Engineering - Programming and Languages
Subject:
Database design
Copyright:
Publication Date:
20120631
Binding:
TRADE PAPER
Language:
English

Related Subjects

Business » Computers
Computers and Internet » Computers Reference » Enterprise Applications » Business Intelligence Tools
Computers and Internet » Computers Reference » General
Computers and Internet » Database » Database Management
Computers and Internet » Database » Design
Computers and Internet » Programming » Microsoft Programming
Computers and Internet » Software Engineering » Programming and Languages
Computers and Internet » Software Engineering » Software Management
Health and Self-Help » Health and Medicine » Medical Specialties
History and Social Science » US History » Social and Economic History

Visualizing Data with Microsoft Power View New Trade Paper
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$20.10 In Stock
Product details pages McGraw-Hill/Osborne Media - English 9780071780827 Reviews:
"Synopsis" by , Unlock the power of Microsoft Crescent and build rich BI reports with just a few clicks

Co-written by bestselling BI author Brian Larson, Visualizing Data with Microsoft Crescent provides complete coverage of Microsoft Crescent, the BI tool that enables you to quickly create high-quality, highly interactive reports. This practical guide takes you on a hands-on tour of the capabilities of the Crescent authoring environment and of the tool for creating the semantic models required by Crescent. A series of exercises based on a set of business scenarios provide familiarity with Crescent's features and the semantic modeling process. Instructive, step-by-step Camtasia videos on CD-ROM supplement the written exercises for an in-depth learning experience. More than 30 reusable reports plus all code samples from the book are also on the CD-ROM.

Visualizing Data with Microsoft CrescentTechnically reviewed by Microsoft's Crescent teamFeatures complete, practical examples that are immediately usable in a commercial environmentServes as both a tutorial for learning the product as well as an on-the-job referenceIncludes CD-ROM with 30+ practical, reusable reports, all code samples, and supporting Camtasia animations that walk thru each example

Step-by-step coverage:

Using Crescent; Getting Started; Basic layout; Charting; Maps; Interactivity; Sharing Reports; Creating BI Semantic Models; Getting Started with BISM; Basic BISM Design; Additional Model Features; Using DAX Expressions; Deploying Models; Managing Reports

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