Without any organization, governance, or integration with known ETL or analytics tools, many data lakes became “data swamps” where data sits stagnant because users don’t know how to effectively access or glean insights from it. But that fate isn’t inevitable. Modern, productive data lakes are built on cloud object storage and can be activated to support multi-dimensional analytics use cases such as full text search, relational queries, and machine learning. Gain insights into the data lakes of yesterday, today and tomorrow -- including how they compare to new approaches such as data mesh. Learn about AWS’s vision for cloud object storage. Hear about Digital River’s cloud-first strategy and how that has driven their data lake that’s centered around log analytics. Get a first-hand product tour of ChaosSearch to see how it activates S3 for analytics through multiple APIs.