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When the database is updated, the MyData entry is invalidated and, as in the sample implementation provided here, the list box displays empty. Important You get notification based on changes in the table as a whole. In the preceding code, we re displaying a data set that results from the following:

SELECT * FROM customers WHERE country='USA'

If, say, a new record is added to the Customers table, you get a notification no matter what the value in the country column is. The same happens if a record is modified or deleted where the country column is not USA. By using a SqlCommand object in the constructor of the dependency class, you gain a finer level of control and can notify applications only of changes to the database that modify the output of that specific command.

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Scalability is an aspect of software that came with the advent of successful Web applications. It is strictly related to the stateless nature of the HTTP protocol so that any new requests from the same user in the same session must be bound to the same state left by the last request. The need to re-create the last known good state results in an additional workload that saturates Web and data servers quite soon and kind of linearly as the number of users increases. Caching is a way to smooth the issue by providing a data store that sits nearer to the user and doesn t require frequent roundtrips to central servers. The ASP.NET Cache object has a number of powerful and relevant capabilities. Unfortunately, today s business needs raised the bar a little higher. As a result, the Cache object is limited today because it is bound to a worker process and a single machine. The Cache object doesn t span multiple machines like in a Web farm; its amount of memory affects only a single machine and can t be scaled out horizontally. Enter distributed caching. The power of a distributed cache is in its design, which distributes load and data on multiple and largely independent machines. Implemented across multiple servers, a distributed cache is scalable by nature but still gives the logical view of a single cache. Moreover, you don t

Switch to the Custom Reporting solution, open the Product Profitability report and then click the Data tab. On the Report menu, click Report Parameter, and then click Category in the Parameters list. Clear the text from the Prompt box, click String in the Data Type list box, click Category in the Value Field list box, and then type Component as the Default Value. The Report Parameters dialog box looks like this:

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need high-end machines to serve as cache servers. Add this to cheaper storage and faster network cards and you get the big picture distributed caching these days is much more affordable than only a few years ago. Figure 18-3 shows the abstraction that a distributed caching layer provides to applications.

Many dimension attributes can be used to create groups of dimension records, and then the related facts can be summarized for each group . For example, Product dimension records can be grouped into Bikes and Accessories categories, and then the number of Units Sold for each category can be calculated . Attributes that can be used to create groups are called aggregatable, and the summary value is called an aggregate . Aggregate is a more general term than summary value . Summary value implies that the value is derived by summing individual values . When you calculate an aggregate, you may sum the individual values, but you could also count, find the minimum or maximum, average, or apply some other calculation to the individual values . Not all attributes are aggregatable . For example, it would not be useful to create groups using the List Price attribute and then sum the number of Units Sold for each list price, because List Price has many distinct values . A customer dimension often contains many nonaggregatable attributes: street address, telephone number, e-mail address, and so on . These non-aggregatable attributes are referred to as member properties . Member properties are added to reports to provide additional information on a report that already contains an aggregatable attribute . For example, a report could display sales by the aggregatable Customer attribute and then list the Telephone Number and E-Mail Address member properties .

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