In today's data-driven world, organizations face challenges related to the sheer volume and complexity of data. Two major frameworks, data lakes and lakehouses, have emerged to help businesses manage and harness their data effectively. This post provides a clear comparison of both concepts, highlighting their unique features and practical applications within modern data architecture.

I generally like to try new things, and technology is no different. So, I decided to do some more in-depth research on the mechanics under the covers of Apache Iceberg. Apache Iceberg with Industrial Piping I was specifically looking at some key items that are usually part of data management practices, regardless of the technology