A data lake is an alternative method for storing data. In some ways, data lakes replace data warehouses but can also be used in addition to governed data storage.
This 2016 trend has many experts conflicted while others are excited to explore the potential.
In this infographic, you’ll learn about how data lakes run the risk of becoming “data swamps” instead, a term coined by 2014 Turing Award winner Michael Stonebraker.
Key differences between data lakes and data warehouses are explained through a fishing metaphor, and include details about the professionals in charge of data storage practices.
Experts from Tableau, Qlik and Logi Analytics offered us their advice and predictions. We’ve also included a comment from Gartner on this trend.
Feel free to share this page and the image below to help others understand the next generation of data storage: