By Michael Alexander, Richard Kusleika
Master database production and management
Access 2016 Bible is your, finished connection with the world's most well liked database administration device. With transparent advice towards every little thing from the fundamentals to the complex, this go-to reference is helping you are taking benefit of every thing entry 2016 has to supply. even if you're new to entry or getting began with entry 2016, you'll locate every thing you must comprehend to create the database answer completely adapted on your wishes, with professional information each step of how. The significant other web site gains all examples and databases utilized in the ebook, plus trial software program and a different supply from Database Creations. commence from the start for an entire instructional, or dip in and seize what you wish should you want it — this ebook can provide a professional entry 2016 better half on name 24/7.
Access allows database newbies and programmers to shop, set up, view, examine, and percentage info, in addition to construct robust, integrable, customized database options — yet databases might be complicated, and hard to navigate. This e-book is helping you harness the facility of the database with an exceptional realizing in their goal, building, and alertness.
• comprehend database gadgets and layout platforms objects
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From database basics and terminology to XML and net companies, this e-book has every little thing you want to maximize entry 2016 and construct the database you would like.
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Extra info for Access 2016 Bible
Constantly is the operative word here. This should be a very small subset of your dimensional data. To work with this type of dimension, you will probably vary the storage location, rather than implementing any particular design in the OLAP model itself. RCD data storage models are covered in more detail in Chapter 6, “Cube Storage and Aggregation” (with the rest of the discussion about overall cube data storage). An example of this type of dimension is 47 CHAPTER 2 ■ OLAP MODELING CONCEPTS in a fast food restaurant chain, where the employee dimension may need to reflect very high staff turnover.
To create a DSV, right-click the Data Source Views folder in Solution Explorer, and select New Data Source View. Click Next in the Welcome dialog. The Select a Data Source dialog will contain the data source you just created. Select this data source, and click Next. In the Select Tables and Views dialog, select the following tables from the “Available objects” 56 CHAPTER 3 ■ INTRODUCING OLAP MODELING WITH SSAS area, and place them into the Included objects: area, using the right-facing arow button or by drag-anddrop: • DimCustomer • DimDate • DimEmployee • DimGeography • DimProduct • DimProductCategory • DimProductSubcategory • FactInternetSales • FactResellerSales Figure 3–4 displays the nine tables that you will be using to create your first cube.
In addition to derived measures, SSAS supports calculated measures. Calculated measure values are calculated at query time by SSAS. Calculated measures execute based on queries that you write against the OLAP cube data. These queries are written in the language required for querying SSAS cubes, which is Multidimensional Expressions (MDX). ” Other Types of Modeling SSAS supports additional capabilities that may affect the final modeling of your cube source schemas. In our experience, most clients start with the concepts presented in this chapter, load some sample data to validate both the data and the modeling concepts, and then add the more advanced capabilities.