4 mistakes to avoid when building lakehouse based solutions on AWS

Author: Igor Royzis Mistake #1 Dumping all your data in S3 without a well designed data lake partitioning that supports your organization’s needs We’ve all heard the saying “store all data all the time in your data lake” or something of that nature. Well, it’s true, this approach may give organizations immediate access to all […]