Some Words on Real-time Data Integration
Real-time data integration is a real buzzword today, and an object discussed more and more actively.
What differentiates real-time approach from traditional data integration is the character of the process. While traditionally the process of data integration supposes moving large blocks of data incrementally over a 24-hour period, real-time approach means moving data continuously (though sometimes there is a few seconds of latency). Assuming that traditional data integration may take significant amount of time, or face challenges like window of tome expiration before an operation is completed, the idea of constant real-time integration of smaller portions of data seems more efficient as an approach.
Companies look at real-time data integration as at the way of cutting costs and increase revenue from IT initiatives. Real-time data integration tools implementation provides things like following:
- Immediate access to up-to-date business information
Confidence that decision making is based on latest data
Possibility to see any changes about customers as soon as they occur, etc.
Thus, real-time data integration keeps gaining popularity as more efficient way of getting the right business information in the right time. Still the choice and implementation of real-time data integration solutions supposes a significant work to be done.