The data lake has come a long way.
It is a well-established design pattern and data architecture for profound applications in data warehousing, reporting, data science, and advanced analytics.
Over the years, users’ expectations, best practices, and business use cases for the data lake have evolved, as have the available data platforms upon which a data lake may be deployed. This evolution is forcing changes in how data lakes are designed, architected, and deployed.
This checklist by TDWI (Transforming Data With Intelligence) and sponsored by Snowflake covers: