![]() SELECT city_name, SUM(c) c, ST_GeogPoint(AVG(longitude), AVG(latitude)) point SELECT REGEXP_REPLACE(contributor_ip, 'xxx', '0') ip, COUNT(*) c ![]() # here I'm using the same Wikipedia set from the previous article # replace with your source of IP addresses Here’s the list of countries where users are making edits to Wikipedia, followed by the query to use: Use the code below to replace IP addresses with the generic location. The new BigQuery Geo Viz tool that uses Google Maps APIs to chart geopoints around the world.BigQuery's new superpowers that deal with nested data, generate arrays, and run incredibly fast joins.BigQuery's improved byte and networking functions NET.SAFE_IP_FROM_STRING(), NET.IP_NET_MASK().MaxMind's Geolite2 free geolocation database.76 million IP addresses collected by Wikipedia from anonymous editors between 20.How to de-identify IP address dataįor this example of how you can easily de-identify IP addresses, let’s use: Replacing collected IP addresses with a coarse location is one method to help reduce risk-and BigQuery is ready to help. We published our first approach to de-identifying IP addresses four years ago- GeoIP geolocation with Google BigQuery-and it's time for an update that includes the best and latest BigQuery features, like using the latest SQL standards, dealing with nested data, and handling joins much faster. For example, under GDPR, an IP address might be considered PII or personal data. To comply with current policies and regulations, you might need to de-identify the IP addresses of your users when analyzing datasets that contain personal data. Using it lets you explore large datasets to find new and meaningful insights. BigQuery is Google Cloud’s serverless data warehouse designed for scalability and fast performance.
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