{"id":32222,"date":"2021-10-25T05:51:55","date_gmt":"2021-10-25T04:51:55","guid":{"rendered":"https:\/\/www.inovex.de\/?p=32222"},"modified":"2022-11-21T11:35:40","modified_gmt":"2022-11-21T10:35:40","slug":"a-gdpr-compliant-data-lake-architecture-on-the-google-cloud-platform","status":"publish","type":"post","link":"https:\/\/www.inovex.de\/de\/blog\/a-gdpr-compliant-data-lake-architecture-on-the-google-cloud-platform\/","title":{"rendered":"A GDPR-Compliant Data Lake Architecture on the Google Cloud Platform"},"content":{"rendered":"

This blog post gives an overview of an example data lake architecture implemented on the Google Cloud Platform, which is capable of operating on petabyte data scenarios while being compliant with GDPR and still able to derive business insights – even though data is anonymized! Also, we will demonstrate how restricted data access management is possible in such a setup.<\/p>\n

In 2018 the General Data Protection Regulation (GDPR) went into effect. Just two years later the US state California followed with its California Consumer Privacy Act \u2013 and many more might follow.<\/p>\n

All these privacy regulations have in common that they enforce legally binding guidelines on storing and processing user related data.
\nSince nowadays almost every modern company uses data for their business \u2013 and penalties for not following these regulations are enormous \u2013, many of our customers are facing the challenge of adapting their architectures to these regulations.<\/p>\n

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