Which technique will efficiently ingest and consume semi-structured data for Snowflake data lake workloads?
Which technique will efficiently ingest and consume semi-structured data for Snowflake data lake workloads?
Schema-on-read is a technique that is well-suited for handling semi-structured data like JSON, XML, or other formats where the schema may not be fully defined at the time of data ingestion. This approach allows the schema to be interpreted at the time of reading, offering flexibility and efficiency for Snowflake data lake workloads.
schema on read (c) is related to semi-structured data, but it is an odd question dealing with ingesting and consuming. It's not the schema on write will inefficiently ingest it, it just won't be relevant for JSON at all.