Multiplatform Data Architectures

Best Practices Report: Multiplatform

Data Architectures

We’re experiencing a time of great change as data evolves into greater diversity (more data types, sources, schema, and latencies) and as user organizations diversify the ways they use data for business value (especially via advanced analytics). To capture distributed enterprise data, big data, and other new data assets—plus leverage them fully for business advantage—user organizations are expanding and integrating their portfolios of data platforms and tools to create what TDWI calls multiplatform data architectures (MDAs).

This report explains in detail what MDAs are and do, with a focus on helping data professionals and their business counterparts worldwide architect, govern, and grow their MDAs for better business outcomes via well-integrated and unified distributed data from many sources.

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