Any professional knows that data is critical. However, what may be more important is breaking down large or complex data sets into a manner that other collaborators or colleagues can understand.

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. For decades, organizations have approached data architecture with a monolithic ...

In today's lightning-fast software landscape, traditional architecture practices are becoming a bottleneck. The velocity and complexity of systems scaling across ephemeral microservices, complex APIs ...