gtin-12 check digit excel Prac tical PowerPivot & DAX Formulas for Excel 2010 in Microsoft Office

Print UPC A in Microsoft Office Prac tical PowerPivot & DAX Formulas for Excel 2010

Prac tical PowerPivot & DAX Formulas for Excel 2010
Reading UPC Symbol In None
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Draw UPCA In None
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Part IV
Recognize Universal Product Code Version A In None
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UPC A Printer In Visual C#.NET
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Appendix A
GS1 - 12 Maker In .NET Framework
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UCC - 12 Creation In VS .NET
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Appendixes: Queries for PowerPivot
Print UPC-A Supplement 5 In Visual Basic .NET
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Read Bar Code In Java
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SQL Queries for PowerPivot
EAN-13 Drawer In Java
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Painting Data Matrix In Java
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Why Write SQL Queries Where to Create and Test SQL Queries Where to Use SQL Queries in PowerPivot SQL Examples Selecting Specific Columns Using a T-SQL Function Suppressing Duplicates Creating Buckets Implementing a Filter A More Complex Filter Using Wildcards Sorting Records Denormalizing Data Self-Join Grouping Data Stored Procedure SQL Queries for Excel
Barcode Encoder In Visual Basic .NET
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European Article Number 13 Generation In Java
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386 387 387 389 390 390 391 391 392 392 393 393 394 394 395 395 396
Painting Code 128C In None
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Generate GS1 DataBar-14 In .NET
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Appendix B
Code 128B Drawer In None
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Create Linear Barcode In Visual C#
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MDX Queries for PowerPivot
Printing Barcode In None
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Recognizing Bar Code In VB.NET
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400 400 401 402 402 403 404 404 404 405 406 407 407 408 408
Barcode Encoder In Java
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Barcode Printer In None
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Why Write MDX Queries Where to Create and Test MDX Queries Where to Use MDX Queries in PowerPivot MDX Examples A Basic MDX Query A Basic MDX Query Rewritten to Give Better Results Adding Another Dimension Adding Another Dimension Rewritten to Give Better Results Crossjoin() Query More Complex Crossjoin() Query More Complex Crossjoin() Query Rewritten to Give Better Results A Navigation Query A Range Query A Range Query Rewritten to Give Better Results Attribute or User Hierarchies
Contents
xiii
Sorting Results on a User Hierarchy Sorting Results on an Attribute Hierarchy Filtering Results A Calculated Measure KPI Query KPI Query Rewritten to Give Better Results
409 409 410 410 411 411
Appendix C
DMX Queries for PowerPivot
414 414 416 418 419 420 420 421 422 423 424 425
Why Write DMX Queries Where to Create and Test DMX Queries Where to Use DMX Queries in PowerPivot DMX Examples Cases Query: Nested Table Failure Cases Query: Flattened Table Success Cases Query on Specific Columns Content Query with DMX Subquery Content Query with Embedded Single Quotes Prediction Query with Embedded Single Quotes Prediction Forecast Query with Embedded Single Quotes SQL Used to Format and Manipulate the DMX Result Set
Index
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Foreword
PowerPivot is a lot more than that When I started the PowerPivot project back in 2007, along with Amir Netz (Microsoft BI Distinguished Engineer), the incubation project was called BI Sandbox We had been looking at a problem that had often been raised to us by IT people over years of trying to implement a BI system with both Microsoft and non-Microsoft software How could they set up an environment to enable their business users to build their own BI applications without needing assistance from IT They wanted to focus on building the right data store for the enterprise, secure it, and ensure its quality, but also get out of the business of building one-off applications or reports for business users And thus the BI Sandbox project was born We would build an environment for users to play (sandbox) and do what they needed to do without needing to rely on IT folks to build it for them Now IT would provide and provision the infrastructure and data source access, but they wouldn t need to get involved in the building work for the application itself This did make a lot of sense as business users understand their needs better than anyone else and often don t have the patience or simply the luxury of time to wait for IT to queue this project behind all the other ones and build it three to six months later So we had our vision and a real problem to solve The next question was: how do we do that Well let s see, IT is focused on building ERPs, SharePoint farms, Enterprise Data warehouses Users, on the other end, are busy trying to learn and use what reporting and analytical application IT gives them, or more often ignore it and build whatever they need to do in a tool familiar to them And what is the most often used tool by users to answer any sort of data- or BI-related questions Excel, Excel, Excel followed by Access, which is actually a fairly distant second Users love Excel IT often hates Excel Excel is bad, Excel is uncontrolled, Excel s data is bad, unsecured, and unreliable We ve even heard some IT folks talking about Excel Hell But users love it and build very sophisticated and complex applications with it Let s face it Most companies worldwide run on Excel today Whether you know it or not, parts of your business, and often critical parts of your business, are managed by an Excel-based application built by an analyst or power user and running on someone s desktop So after hundreds of discussions with users and IT,
owerPivot: What a name! Or I should really say what s in a name Powerful Pivoting Pivot-table for power users
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