According to TDWI’s Next Generation Data Integration survey, the types of data integration functionality that are seeing the hottest adoption and growth today are those forms that involve real-time operation. This includes DI functions that inherently run in real time, such as replication, federation, and event processing. But ETL and variations of it are also adapting to real-time requirements by executing intraday batches to augment the usual overnight batch processing, plus integrating with message and service buses.
There are good reasons why real-time data integration is popular among users right now. For example, DI’s ability to operate in real time makes it a good technology choice for real-time data warehousing and operational BI. Furthermore, “big data” is often big because it’s fed continuously by streaming data, which some DI technologies can handle. As business management practices accelerate into real-time decision making based on complete views of customers and other parties, real-time data integration becomes even more useful.
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