QuestionQ23

VerifiedImplement Snowflake data science best practices

A company’s platform team plans to integrate its existing data lake with Snowflake. The data lake is hundreds of TBs in size, and the team does not want to copy most of the data into Snowflake. A Data Scientist at the company needs to query and access the data lake’s metadata. An external stage in Snowflake already references the data lake’s location.

What is the MOST efficient way to integrate the existing data lake into the Snowflake environment?

Explanation

Snowflake external tables reference files in an external stage, allow those files to be queried as table data without loading most of the lake into Snowflake, and store file-level metadata such as filenames and version-related properties. This provides the required table-like query access and metadata access while avoiding data duplication.

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