Traditionally, the data warehouse and data lake have been like oil and water—they don’t mix. The data warehouse was a curated and governed source of strictly relational data that enabled businesses to build reports with SQL. The data lake was a less-governed home for much larger volumes of data, usually encompassing semi-structured data as well as structured data. Having two silos for data was inconvenient, but there simply wasn’t a technology that could deliver the benefits of both a data warehouse and a data lake in one place.
Now with Snowflake’s cloud data platform, you can store virtually any amount of data of any kind with the flexibility of schema-on-read. At the same time, you can query all of your data with standard SQL and realise the governance and simplicity of the relational data warehouse.
Speakers