Data Architecture and Metadata

One thing that will remain constant will be the need to document your data and its relationships.  We believe that much of that process can be automated for the Data Lake, which will support the data team responsible for finding the vein of gold in the mountain of data.  Once found the vein can be “mined and refined” by adding it to the enterprise data warehouse in Snowflake.