Today, we’re adding metadata to the list of issues that will need to be addressed before data lakes are a useful, realistic concept.
Recently, I’ve been sharing the key concerns and barriers around data lakes. Data lakes, at least in theory, are what you get when you pull Big Data sets, including unstructured data, together. The idea is that data lakes will replace or at least supplement data marts for accessing enterprise-wide information.
Vendors have been hyping up data lakes, but many experts are questioning how realistic data lakes are right now. The challenge isn’t so much creating them as it is managing the data in a useful way, experts say.