How to explain data meshes, fabrics, and clouds

This post was originally published on Info World

Your CEO knows what a database is and probably thinks a data warehouse is a large data vault used for reporting and analytics. They know little about NoSQL data stores, why they need a Spark cluster, or how data lakes are used to ingest structured and unstructured data.

CEOs and business leaders focus on the business value of data, analytics, and machine learning and care less about the underlying technologies.

But therein lies a paradox, because they do want to understand the value of investing time and money into new technologies. Try explaining the latest data management technologies, including data meshes, data fabrics, and distributed data clouds, and watch your CEO’s head spin.

It’s not just CEOs, either. Data technology has exploded since the early web days, when the primary debate was whether to build your data warehouse on top of Oracle, Microsoft, or open source. Many non-IT leaders today are content to believe that the data is “in the cloud” and that data integration, quality, and performance are “IT issues.”

Anyone working with data should be prepared to explain the most critical technologies and practices in accessible language. In my book, Digital Trailblazer, I share a story about explaining what a browser cookie

Read the rest of this post, which was originally published on Info World.

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