Logging can be enabled and used at design time and runtime. To begin logging, in the Visual Studio menu select SSIS > Logging to open the Configure SSIS Logs window. In the Containers section, select the Control Flow objects for logging—the overall package itself and/or each of the individual tasks within the package. Then in the Providers and Logs tab, under the Add A New Log > Provider Type, select where you want the logging to be saved to, and click the Add button: After adding each of the Provider Types selected you want to log to, go to the Select the Logs to Use for the Container section to set up the Connection in the Configuration column. In the case of a Text file, select a file to write to. For SQL Server DB as the target, simply select the target database. You are not limited to selecting only one target location for the logging, multiple destinations can be added and they will all be wri...
SQL Server 2012 introduced a new paradigm in storing and deploying SSIS packages. Before that release, all packages were individually managed and deployed. The SSIS DB catalog and SSISDB database serves as a centralized place where deployed SSIS packages can be stored along with everything related to it, including: Project and package parameters Configuring runtime values for packages Executing and troubleshooting packages Managing Integration Services server operations You find the SSISDB catalog in the folder labeled Integration Services Catalogs. This is where you find the Projects folder containing each project with all its packages. And the Environments folder contains the package configuration and environment values, which can be set before executing the packages. Each SQL Server instance gets only one SSISDB. You also find another SSISDB in the Databases folder in SQL Server (Figure 2-113)....
A frequent problem that you may experience when you bring data from multiple sources that need to be unified and consolidated and/or needs to be deduplicated. In the case of an enterprise maintaining multiple customer or product sales information in for various business entities, e.g. retail and web sales, or possibly different CRM programs that are a result of a company merger, all of this information has to be brought under one roof within the data warehouse. SQL Server provides two fuzzy transformations to help with such scenarios: Fuzzy grouping Fuzzy lookup These transformations can be used independently or in concert to assist with unification and deduplication of your data. Both the fuzzy transformation algorithms create and utilize temporary tables created within SQL Server. Fuzzy grouping Fuzzy grouping is used primarily for deduplicating and standardizing values in column data. Fuzzy grouping has input parameters a...
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