generate qr code using asp.net c# SELECT * FROM FactResellerSales WHERE OrderDateKey = 20111231 in C#

Encoding QR Code in C# SELECT * FROM FactResellerSales WHERE OrderDateKey = 20111231

SELECT * FROM FactResellerSales WHERE OrderDateKey = 20111231
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The Incremental Update dialog box should look like the following image .
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Managing Partitions and Database Processing
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5. Click OK . In the Process Partition dialog box, click OK . The Process Progress dialog box will appear and display the steps Analysis Services takes as it processes the partition . When processing is complete, the Status will change to Process Succeeded . You can view additional information, including the SQL query used to select data from the fact table, by expanding the steps and substeps . 6. In the Process Progress dialog box, expand all of the steps and substeps and then select the substep that begins SELECT [dbo_FactResellerSales] .[OrderQuantity] AS . Click View Details . The View Details dialog box displays the SQL query that Analysis Services used to select records from the fact table . The SQL query you entered in step 4 appears as a subquery .
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7. In the View Details dialog box, click Close, and then click Close in the Process Progress dialog box . 8. Select the MOLAP [Browse] window . On the Browser toolbar, click Reconnect . The report shows that the sales order from Mexico has been added to the MOLAP cube . The number of items in the newly added order, 122, is displayed at the intersection of Mexico and CY 2011 . Aggregate values have also been updated . The total for CY 2011 has increased by 122 to 45,252 and the total for all years and all countries has increased by 122 to 214,500 .
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As you ve learned in this chapter, keeping an Analysis Services database up to date can be challenging . You have to consider when to process changes to database objects relative to changes in the data warehouse, how processing one object impacts other objects, and how the processing option you use affects user queries . In the next section, you will learn about proactive caching, an Analysis Services feature that simplifies database processing by managing the details for you .
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The data that Analysis Services needs to respond to a query can exist in one of three storage locations, also called caches . Analysis Services can respond to a query most quickly if the data exists in memory . If the data is not in memory, Analysis Services can use the second-quickest option and retrieve the data from MOLAP disk storage . If the data is not available from memory or MOLAP storage, the slowest option is to retrieve the data from ROLAP storage that is, Analysis Services has to query the source relational database . A potential problem arises when the data in the source relational database changes . These changes cause the ROLAP cache to be out of sync with the memory and MOLAP caches . To get the three caches back in sync, you must process the dimensions and partitions that use MOLAP or HOLAP storage, and the memory cache must be cleared and repopulated . Because processing dimensions and partitions takes time and computer resources, you need to decide when you want this processing to occur and what cache(s) should be used to respond to queries while the caches are out of sync . Fortunately, Analysis Services provides proactive caching, which simplifies managing these issues . To configure proactive caching, you need to consider the following questions:
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Managing Partitions and Database Processing
Should processing of the cube occur in fixed intervals of time or only when data in the underlying source has changed While the cube is being processed, how should user queries be resolved from the most recent version of the cube (which might contain old data) or from the underlying source relational database (which contains new data, but might be slower to return query results) If processing will be triggered by changes to the source database, how should Analysis Services be notified of a change
In the next procedure, you will review the available options and configure proactive caching for a partition .
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