You have one BigQuery dataset which includes customers' street addresses.

To retrieve all occurrences of street addresses from a BigQuery dataset, the most effective and comprehensive method is to use Cloud Data Loss Prevention (DLP). Here’s why option A is the best choice:

Cloud Data Loss Prevention (DLP):

Cloud DLP is designed to discover, classify, and protect sensitive information. It includes pre-defined infoTypes for various kinds of sensitive data, including street addresses.

Using Cloud DLP ensures thorough and accurate detection of street addresses based on advanced pattern recognition and contextual analysis.

Deep Inspection Job:

A deep inspection job allows you to scan entire tables for sensitive information.

By creating an inspection template that includes the STREET_ADDRESS infoType, you can ensure that all instances of street addresses are detected across your dataset.

Scalability and Accuracy:

Cloud DLP is scalable and can handle large datasets efficiently.

It provides a high level of accuracy in identifying sensitive data, reducing the risk of missing any occurrences.

Steps to Implement:

Set Up Cloud DLP:

Enable the Cloud DLP API in your Google Cloud project.

Create an Inspection Template:

Create an inspection template in Cloud DLP that includes the STREET_ADDRESS infoType.

Run Deep Inspection Jobs:

Create and run a deep inspection job for each table in your dataset using the inspection template.

Review the inspection job results to retrieve all occurrences of street addresses.

Reference Links:

Cloud DLP Documentation

Creating Inspection Jobs