Best practices for Cloud DLP
It can be difficult to figure out where Cloud DLP fits in your architecture or to identify requirements for Cloud DLP. Here are some best practices for you to understand how to use Cloud DLP in various scenarios:
- Use data profiling versus inspection jobs: Data profiling allows you to scan BigQuery tables in a scalable and automated manner without the need for orchestrating jobs. Considering the growth of data and the increasing number of tables, leveraging profiling features is recommended as it takes care of orchestration and running inspection jobs behind the scenes without any overhead. The inspection jobs can complement profilers when deeper investigation scans are needed. For example, if there are around 25,000 tables to be scanned, the recommendation is to scan all the tables with a profiler and then do a deep scan of 500 tables to flag sensitive/unstructured data that needs a more exhaustive investigation.
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