* Objective: Optimize the usage of Cloud Data Loss Prevention (DLP) API to reduce costs.
* Solution:
* rowsLimit and bytesLimitPerFile: These parameters help in sampling data instead of scanning the entire dataset, thereby reducing the amount of data processed.
* CloudStorageRegexFileSet: This feature allows you to specify a subset of files to be scanned using regular expressions, limiting the scope and volume of data scanned.
Steps:
* Step 1: Set appropriate rowsLimit values for BigQuery data scans to sample rows instead of scanning entire tables.
* Step 2: Set bytesLimitPerFile values for Cloud Storage buckets to limit the number of bytes scanned per file.
* Step 3: Use CloudStorageRegexFileSet to specify the subset of files to be scanned based on patterns that match the filenames.
By combining these strategies, you effectively reduce the scope and volume of data processed by the DLP API, leading to cost savings.
References:
* DLP API Best Practices
* Configuring Finding Limits