Data integration is the process of combining data from many different sources into an application. You need to deliver the right data in the right format at the right timeframe to fuel great analytics and business processes.
A data integration project usually involves the following steps:
- Accessing data from all its sources and locations, whether those are on premises or in the cloud or some combination of both.
- Integrating data, so that records from one data source map to records in another (e.g., even if one dataset uses "lastname, firstname" and another uses "fname, lname," the integrated set will make sure both end up in the right place). This type of data preparation is essential for analytics or other applications to be able to use the data with any success.
- Delivering integrated data to the business exactly when the business needs it, whether it is in batch, near real time, or real time.
Informatica has been positioned as a leader on the Gartner Data Integration Tools Magic Quadrant for 10 consecutive years.
Learn More About