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The Change Data Capture (CDC) feature, introduced in SQL Server 2008, is used to capture data modification activity in SQL Server tables and make the details of the activity available in a format that can be used for various purposes. One of the main uses for CDC is for data warehousing solutions. The classic data warehouse load process involves identifying data that has been modified since the last load operation. Once identified, the data is the subject of an extract, transform, load (ETL) process. The challenge for ETL processes is identifying which data has changed since the last load, and typically involves timestamp or GUID values along with a corresponding query to select all data with a timestamp/GUID value greater than the one used in the last load operation. CDC is perfect for this scenario, as all changes can be easily consumed, thus avoiding the need for expensive identification queries. From an auditing perspective, CDC can be used to identify modifications to one or more tables. In versions of SQL Server prior to 2008, such auditing was typically performed using triggers or some other mechanism. CDC simplifies this process greatly while avoiding the expensive overhead of a trigger-based approach. As a brief introduction to how CDC can be used from an auditing perspective, let s consider an example in which we want to track modifications to the Production.Product table in the AdventureWorks2008 database. To do so with CDC, we ll run the code shown in listing 6.6.

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-- enable change data capture EXEC sys.sp_cdc_enable_db GO -- enable the Production.Product table for CDC EXEC sys.sp_cdc_enable_table @source_schema = N'Production' , @source_name = N'Product' , @role_name = N'CDCRole' GO

Factor Sketch the graph of this function y = x 2 + x - 2 = (x - l)(x +2) and notice that the curve crosses the x-axis at x = 1 and x = -2 Look a the limits of the integration At x = 0 , y = -2 t At x = 2 y = 4 With this information the curve can be sketched as in Fig 7-9 More detail for the sketch is not necessary

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