Google Cloud Dataproc VS Data Loss Prevention API

I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago

Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / almost 2 years ago

With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 2 years ago

Cloud Data Loss Prevention API: This service helps organizations detect and classify sensitive data within their Google Cloud environment, including personally identifiable information (PII) and intellectual property. It can be used to prevent data leaks and protect against data exfiltration. Https://cloud.google.com/dlp. - Source: dev.to / over 1 year ago

Cloud Data Loss Prevention API: Classify and redact sensitive data 🔗Link 🔗Link. - Source: dev.to / over 1 year ago

Google Drive and OneDrive both have lots of DLP features and can require MDM as well. Its not like Dropbox is the only cloud storage host with DLP. https://docs.microsoft.com/en-us/microsoft-365/compliance/dlp-policy-reference?view=o365-worldwide https://cloud.google.com/dlp/. - Source: Hacker News / almost 2 years ago