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Saturday, November 03, 2018

Data Integration approaches

Trends of Data Integration

With every distributed service being responsible for its own data, the classical ETL (Extract, Transform, Load), data-warehousing, and data federation systems will quickly reach an out of control state. New approaches to master data management will be required to deal with these kinds of distributed and segregated data volumes.

Among the possible solutions on the horizon are Big Data or stream data solutions, which take data-changing events and allow operations on a copy of the data on the fly. Data virtualization will also help for reporting or warehousing requirements. More complex solutions might also allow the exposure of data services, which can be consumed by external services.