The rise of multi-cloud, data-first architectures and the broad portfolio of advanced data-driven applications that have arrived as a result rely on data lakes to store all the data. A data lake is an open source and industry standard repository for storing large amounts of data. Enterprise data lakes not only store data, they also provide enterprise grade services to collect, explore, manage, govern, prepare and build pipelines for enterprise data.
In this week’s video, Solix’s John Ottman discusses the role of cloud computing in data management—past, present, and future—with technology experts Sanjiv Kumar (Freddie Mac), Keith Angell (Previously Velocity Technology Solutions), and Paul Maher (Microsoft).
Data lakes are everywhere now that cloud services make it so easy to launch one – but they can quickly turn into data swamps.
The data lake is now well past its infancy: 1/4 of all organizations have a data lake in production. However, with maturity comes data lake misconceptions.