The Bluemetrix Team
How Bluemetrix and IDERA Accelerate JSON Data Extraction into Snowflake
Snowflake offers a powerful way to store and process semi-structured data like JSON, allowing data analysts to derive valuable insight from the data using standard SQL. However, for data analysts to access the value in this data, data engineers must first extract the nested JSON data into relational tables to process it.
Managing a large amount of JSON data is a manual process that takes time away from data projects, introduces risks, and slows down Snowflake's use and adoption.
In addition, with more stringent data privacy regulations arising from the need to ensure every approval for data access and sharing requests adheres to governance policies, the process can be daunting and costly.