Most enterprises today store and process vast amounts of data from various sources within a centralized repository known as a data warehouse or data lake, where they can analyze it with advanced analytics tools to generate critical business insights.
Modern data warehouse platforms such as Snowflake, AWS Redshift, Azure Synapse Analytics, and IBM Db2 are built with strong security measures to ensure that no prying eyes can glimpse the information held within. But although these platforms are secure, that doesn’t mean the data is safe, for organizations are exposed to significant risks when storing information there in the first place.
