Source to target template

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Skip to content About. What all are the value columns that triggers the delta from the Source? SourceDatabase — Source Database name or names will be mentioned in this space Source Column — All the Source columns from respective Source Database are mentioned in this space these columns will undergo the transformations if required.

Target Database — Target Database name or names will be mentioned in this space Target Column — All the Target columns from respective Target Database are mentioned in this space these columns will undergo the transformations if required. What we need to look in the S2T? Joins — Even if the Data modelers mentioned the Joins in the Extraction rules we need to ensure the joins are working with the source data provide.

Our S2T documents should be created before we start with step 5. When done in this way S2T documents serve very little purpose other than to be system documentation for future maintenance. This approach also causes teams to forgo the main benefits of good S2T documentation. Source to target mapping documents that are created during the design phase of the solution before embark on the actual ETL development have some of the following benefits.

For projects with multiple ETL developers this last point is crucial. In most organisations the number of people that know a source system well enough to provide the information needed for a S2T mapping is very small. There is nothing that derails a project plan as badly as assuming that the ETL processes can be developed in parallel only to have all of your ETL developers struggle to get time with the one or two people that can give them the information they require.

So now that you know why you should be creating S2T documents what should they look like? Well the honest answer is that it can take many different forms. Most of the time the documents end up being Excel spreadsheets which captures the information in an easy to read manner.

Source-to-target mapping in Healthcare Similarly, healthcare services have their own set of data standards designed by international health care services.

The information needs to be ingested into the data warehouse under the HIPAA compliance guidelines regularly so that insurance companies, suppliers, and even retailers dealing in healthcare equipment are aware of the demand and supply of the equipment. Source-to-target mapping in Finance Take forex trading. Each point is changed in real-time and a slight difference in time can lead to a loss of millions of dollars.

The data is not stored in a central database but kept in data centers spread across the globe. The data is exchanged between data centers, of brokerage houses, and central banks, and financial firms in real-time without even a split second delay. Now if a company is creating an app for forex trading, the sourced data must be pointed to the right node at the destination.

This would allow accurate functioning without any loss. Source-to-target mapping in Travel Flights are now mostly booked through online apps. Apps like Kayak, Skyscanner, Booking, and various others use data from the central flight database and show it to the user.

Users can book seats of their choice on the flight and even find cheaper rates through delayed booking. After mapping data from a source to a destination, users can easily move data from many data sources to a data destination of their choice.