There’s no one size fits all approach to sharing your data

It’s almost become cliché to start articles about data with an acknowledgement of the sheer volume of data that modern economies create and, with the increasing prominence of AI, the demand for all of this data is simply going to continue to increase.

Thanks to the rise in business cloud storage platforms, organizations also now have a much more convenient way to store these huge quantities of data, but that has come at a cost: this data is decentralized like never before. That means, for a modern data consumer, it’s not just tough to find and access the data they’re looking for; they can’t even be sure it exists at all.

Collecting, cataloguing and governing the large amounts of data stored by an organization is now paramount to getting the most out of it. In an effort to accelerate this move towards ensuring data is both discoverable and usable, though, businesses are increasingly adopting a one size fits all approach via a data catalog alone. Whilst this approach is being praised as a silver bullet for businesses, could it actually be holding them back?

Uniting your data

To overcome the challenges associated with large data lakes, which are increasingly becoming more like data oceans, many data professionals have adopted data catalogs to help bring some order to their large quantities of data. But what exactly are data catalogs, and why might they not be the sole solution to the challenge of uniting an organization’s data?

Data catalogs provide the frameworks and interfaces to manage and collect metadata, or information on the lineage, reliability, quality and sensitivity of data and data products. Put more simply, they allow…