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Separating Data Reader and Data Modifier Responsibilities

I recently took on a new role in managing access to our data warehouse at work. One of the first things I noticed was that our team was handling data access and modifications in a way that made it hard to track who could read what and who could write. I realized we needed to separate the responsibilities of data readers and data modifiers to improve security and clarity in our data governance practices.

Understanding the Need for Separation

I started by reviewing our current access controls. We had a group called `data_engineers` who were responsible for modifying data, but they also had access to read data. This meant that anyone with the ability to modify data could also view it, which wasn’t ideal for maintaining a clear separation of duties.

I decided to create a dedicated group for data readers. This group, named `data_readers`, would be responsible for accessing data for analysis and reporting, while `data_engineers` would focus on data modification tasks like ETL processes and data cleansing. This approach would make our access model more secure and easier to manage.

Granting Read Access to the Data Readers Group

To begin, I ran the following SQL command to grant the `SELECT` privilege on the `production.sales.orders` table to the `data_readers` group:

GRANT SELECT ON TABLE production.sales.orders TO `data_readers`;

I noticed that the system confirmed the grant was applied successfully. This meant the `data_readers` group could now access the orders table for reading data. I verified that this was the correct step because it ensured that only the appropriate group could view the data without modifying it.

Granting Modify Access to the Data Engineers Group

Next, I wanted to ensure that the `data_engineers` group had the ability to modify the data. I ran the following SQL command to grant the `MODIFY` privilege on the `production.sales.orders` table to the `data_engineers` group:

GRANT MODIFY ON TABLE production.sales.orders TO `data_engineers`;

I checked the response and saw that the grant was applied successfully. This was a critical step because it allowed the `data_engine, engineers` to perform necessary data modifications without having the ability to read the data. This separation of duties helped us maintain a clear and secure access model.

Verifying the Access Grants

To confirm that the access rights were correctly assigned, I ran the following SQL command to show the grants on the `production.sales.orders` table:

SHOW GRANTS ON TABLE production.sales.orders;

principal	actionType	objectType
data_analysts	SELECT	TABLE
data_engineers	MODIFY	TABLE

I reviewed the output and saw that the `data_readers` group had the `SELECT` privilege, while the `data_engineers` group had the `MODIFY` privilege. This confirmed that the access model was correctly configured and that the responsibilities of data readers and data modifiers were properly separated.

Conclusion

By separating the responsibilities of data readers and data modifiers, I was able to improve the security and clarity of our data access model. This change helped our team work more efficiently and ensured that data was handled appropriately based on the roles of each group. I now feel more confident in managing access to our data warehouse and know that this approach will support us in maintaining a robust and secure data environment.