Thomas Spicer explains that your data lake doesn’t need to be enormous to be useful:
We recently wrote an article debunking common myths about data lake architectures, data lake definitions, and data lake analytics. It is called “What is a Data Lake? Get A Leg Up Avoiding The Biggest Myths.” In that article, we framed the current conversation about data lakes and how they fit within enterprise data strategies. This topic has historically been confusing and opaque for those wanting to get value from a data lake due to conflicting advice from consultants and vendors.
One area that can be particularly confusing is the perception that lakes are only for “big data.” If you spend any time reading materials on lakes, you would think there is only one type and it would look like the Capsian Sea (it’s a lake despite “sea” in the name). People describe data lakes as massive, all-encompassing entities, designed to hold all knowledge. The good news is that lakes are not just for “big data” and you have more opportunities than ever to have them be part of your data stack.
Click through for Thomas’s argument.