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3 Important Functions of a SSIS Custom Service

by Marie Cox

A SQL Server Integration Services or SSIS is an important service that many companies can benefit from using. It can perform a variety of functions with different kinds of data, many of which make programs run more successfully and help with things like organization and formatting. The services can also be customized depending on the needs of your business, making it possible to get the exact kind of integration services that you need. This article will discuss 3 important functions of an SSIS custom service. 

Data Migration 

One important function that an SSIS service can perform is called data migration. This entails transferring data between different kinds of systems, such as a computer system or other type of data storage system. This allows you to completely change the format of the data in order for it to load and function properly on whatever system you are running. This is excellent if you need the data but are in the process of changing from one system to another and need to migrate all of the data from the previous system. For businesses, this can save a lot of time because the integration service does all of the hard work for you. 

Extract, Transform, and Load 

Another service provided involves three different parts that combine to help with integration. The first step in this process is called extraction. This involves actually extracting a file from a source. Once the file has been extracted, it will then be transformed in order to operate on whatever system you are loading it onto. This is perhaps the most difficult aspect of the process because all of the specs of the files must be properly transformed in order for them to load and function correctly on the new system. The last part of the process is loading the transformed file onto the new database.

Data Warehousing 

The last feature that an SSIS service can perform is known as data warehousing. This either takes data from the top to the bottom or from the bottom to the top and helps to organize and "warehouse" it. For example, if it takes the data from the top to the bottom, it will start from generalized data and make it more specific as it reaches the bottom. If it goes from bottom to top, it will start with more specific data and build on that to create a full warehouse of data. 

For more information, contact a business such as Reach for the Clouds, Inc.