From the course: Complete Guide to Data Lakes and Lakehouses

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Data security, privacy, and compliance

Data security, privacy, and compliance

- As data lakes hold more and more sensitive and critical data, the need for a strong security and compliance measure is more important than ever. First, let's define some important concepts around security, privacy, and compliance to make sure we are on the same page. Security involves protecting data from unauthorized access or breaches. Security measures include physical security, network security, application security, and data encryption. Privacy refers to ensuring that personal data is collected, stored, and using compliance with data protection laws and regulations, and compliance involves adhering to laws, regulations, and guidelines that relate to data protection and management. Compliance makes sure that data practices meet legal requirements and ethical standards. With this in mind, these are some of the strategies that you should consider implementing in your data lake. The first is to implement data encryption at rest and in transit to protect data from unauthorized…

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