POST_START

Separating Read and Write Responsibilities on a Production Volume

I recently took on the responsibility of managing access to a production volume in our data lake. The volume, named production.files.landing, is a critical part of our data pipeline where raw data lands before being processed. My task was to ensure that the right people had the right permissions, while maintaining strict separation of responsibilities between data engineers and data analysts.

Granting Read Access to Data Analysts

I started by granting read access to the data_analysts group. This group consists of analysts who need to query the data but should not modify it. I ran the following command:

GRANT READ VOLUME ON VOLUME production.files.landing TO `data_analysts`;

I noticed that the grant was applied successfully, which meant the data analysts could now access the volume. This was an important step in ensuring that they could perform their analysis without affecting the integrity of the raw data.

Granting Write Access to Data Engineers

Next, I needed to grant write access to the data_engineers group. These engineers are responsible for ingesting and transforming data, and they need the ability to write to the volume. I executed the following command:

GRANT WRITE VOLUME ON VOLUME production.files.landing TO `data_engineers`;

I verified that the write access was granted, which allowed the data engineers to perform their work without interference. This separation of responsibilities is crucial in a production environment to prevent accidental data corruption and ensure data integrity.

Verifying the Grants

To confirm that the grants were applied correctly, I ran the SHOW GRANTS command on the volume:

SHOW GRANTS ON VOLUME production.files.landing;

principal	actionType	objectType
data_engineers	READ VOLUME	VOLUME
data_engineers	WRITE VOLUME	VOLUME

I checked the output and saw that the data_engineers group had both read and write access, while the data_analysts group only had read access. This confirmed that the access controls were set up correctly and that the separation of responsibilities was in place.

By following these steps, I was able to establish a secure and well-structured access model for the production volume, ensuring that each team had the permissions they needed without unnecessary exposure or risk.