Balancing data security and accessibility in your data warehouse design: How do you find the perfect harmony?
Ensuring your data warehouse is both secure and accessible requires a delicate balance. Here are strategic steps to take:
- Implement role-based access control (RBAC) to ensure only authorized users can access sensitive data.
- Regularly audit access logs and update permissions, keeping your data warehouse's security tight yet functional.
How do you maintain balance between security and accessibility in your data designs?
Balancing data security and accessibility in your data warehouse design: How do you find the perfect harmony?
Ensuring your data warehouse is both secure and accessible requires a delicate balance. Here are strategic steps to take:
- Implement role-based access control (RBAC) to ensure only authorized users can access sensitive data.
- Regularly audit access logs and update permissions, keeping your data warehouse's security tight yet functional.
How do you maintain balance between security and accessibility in your data designs?
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Implement strict access controls to ensure only authorized users can view or edit sensitive information. Use role-based access to give different levels of permission based on job roles, allowing users to access only the data they need. Encrypt data both in storage and during transmission to protect it from unauthorized access. At the same time, optimize the user interface and workflows to make it easy for approved users to retrieve information quickly. This approach helps maintain security without compromising accessibility.
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The techniques listed are perfect applications of the **how** to security / privilege's in the warehouse to ensure accessibility. I would add that the **why** should be driven from the principle of least privilege in order to define **what** users should have access to. These permissions will be defined in your warehouse AND BI platforms to ensure that different personas within the organization have access to the data required to perform their job and nothing more. The tolerances of what users should have access to can be wide depending on your data sensitivity, however even when the data is not sensitive, applying these rules will also help to cut down on the "noise" in the warehouse or reports - making accessibility more streamlined.
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Balancing data security and accessibility in a data warehouse is both an art and a strategy. Start by categorizing data sensitivity and applying role-based access controls to restrict sensitive information while keeping non-sensitive data accessible. Implement encryption for data in transit and at rest to bolster security. Use automated monitoring tools to flag unauthorized access attempts, ensuring compliance with policies. Prioritize user-friendly access controls to foster trust and efficiency. Remember, the harmony lies in enabling agility without compromising protection. #DataSecurity #DataAccessibility #DataWarehouseDesign #DataEngineering
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Use dataplex, dataplex is gcp service which works great with data warehouse or mesh. We have mesh with domain modeling in place. Access governance and auditing can be done too.