Data Lakes Fundamentals and Best Practices – Lessons learned in Planning, Strategy, and Execution

Presented by Shreya Pal, Cognizant Data lakes have been around for almost a decade since the term ‘data lake’ was first coined. The major breakthrough was the advent of cloud around big data technologies, making data lakes more affordable and plausible. Data lakes have since evolved immensely over the years. In the past, they were huge reservoirs of data that were slow and batch-oriented, but now they are more like data hubs used to power transactional systems. They are more focused on speed and agility. This talk would focus on the evolution of data lakes and how are they transforming the transactional and analytical world.