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The MDX you learn can be used in many places These include SQL Server Reporting Services (SSRS), SQL Server Integration Services (SSIS), Performance Point Server, and your own NET Windows forms and web pages In addition, you can extend your SQL and DMX queries by embedding MDX code By and large, all the MDX in the book is divided into chapters based on functionality The chapters are as follows
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1: Hello World: Easy Yet Effective Queries
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This is a short chapter to get you started It has a few queries so you get a flavor of the power and elegance of the MDX language
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Introduction
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2: Astrophysical: Playing with Dimensions
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This chapter shows you how to work with dimensions, hierarchies, levels, and members It s quite possibly the most difficult chapter in the whole book especially if you are not familiar yet with the concepts of dimensions and hierarchies Understanding them is vital if you want to write meaningful and powerful MDX
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3: Families and Friends: Navigating Dimensions
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Here we explore moving up, down, and across dimensions and hierarchies The general term for doing this is navigation MDX allows you to navigate both horizontally and vertically MDX (unlike SQL) is positionally aware it knows where you are in the cube and can help you in your navigation
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4: Bringing Order: Sorting Results
This chapter introduces various ways of sorting the results of your queries Business intelligence reports often have a requirement to put the information in some kind of order whether numeric or alphabetic This chapter shows you how to do this
5: Slice, Dice, and Filter: Using Where and Filter
Often, you will want only a subset of your dimension members and measure values This can be achieved by slicing and dicing with a Where clause An alternative approach involves using criteria with a Filter function The MDX Where clause is not the same as an SQL one hopefully, by the end of the chapter you will be proficient at using it in MDX
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Practical MDX Queries for Microsoft SQL Ser ver Analysis Ser vices 2008
6: Using the Abacus: Introduction to Calculations
In general, the measures in your cube are based directly or indirectly on the columns in your fact table in your star schema However, it s likely your reports will need further metrics These are often based on the existing measures in some way One way to devise these new measures is to use MDX query calculations Here we explore how to do this In addition, we take a look at creating nonmeasure members and creating our own sets of data
7: Is Time a Dimension Working with Dates and Times
Nearly every cube in the world has a date or time dimension MDX provides many rich features that help you to analyze your data across history In this chapter, you are introduced to lots of functions for manipulating dates and times These will help you produce brilliant business intelligence reports!
8: Clockwork: Calculations Using Dates and Times
The previous chapter introduces the MDX to extract and manipulate dates This chapter combines the MDX you learn there with aggregate and other functions Here you get to use these aggregate and other functions to produce totals, subtotals, and changes across time This is a big part of business intelligence reporting
9: Venn Diagrams: Visualizing and Manipulating Sets
Here s a wide-ranging chapter on working with sets and members of sets By the end of the chapter, you ll be able to create, visualize, and manipulate sets
Introduction
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10: Views on Cubes: Working with Subcubes
If you are familiar with SQL, you may use views One use of a view on a relational table is to present only a part of the table Often, you will want to work on only a part of a cube The SSAS versions of SQL views are called perspectives, subselects, and subcubes Here we get to exploit those perspectives, subselects, and subcubes
11: Not All There: Dealing with Empty Cells
Cubes are often pretty big They contain lots and lots of data However, there will also be many gaps For example, it s unlikely that every customer bought every product on every single day There will be missing or null data Sometimes, you want to see null values maybe zero sales are of interest Sometimes, the null values are a distraction and you will want to hide them This chapter concentrates on displaying and hiding empty cells
12: Smiley Faces: Working with Key Performance Indicators (KPIs)
Key performance indicators (KPIs) are a vital part of business intelligence At a glance, you can see how well you are doing without having to dig down and analyze individual metrics They are a high-level overview of results and of results against targets Here we explore using, modifying, formatting, and creating KPIs in MDX
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