There is no doubt that data architecture must change. It must adapt to the age of big data, analytics, and self-service. The data warehousing and BI architectures of the past can’t gracefully handle the many innovations of the past decade.
Each of the changes – big data, analytics, and self-service – is a mix of great potential and big challenges when taken individually. Putting them together creates an environment of abundant opportunity and extreme complexity. Carefully considered architecture is the key to managing complexity without undue complication.
Author: Dave Wells