When dealing with data, there is always a need to keep it safe no matter what. Securing snowflake has achieved this by using different scaling methods that improve the data security and how it can be accessed. Some of the ways involved include;
Over time, building a self-service portal has been one of the most used methods of scaling the snowflake management strategy. This process can be achieved in different ways that have been started in security in snowflake that you can read through. But in as much as it is widely used, the method has proved to be much more expensive than most of the other scaling methods.
Eliminating Data Restrictions
This method gives a large of data to the users that are entitled to it which means that there might be cases of over privileged. This therefore may not sound good to the data owner especially if have some data that they feel should be kept secure and secret. For an organization with senior and junior employees, this may not work best but it reduces a lot of workload to the engineers when setting up the data and restricting who to access and who not to. For it not involving much, it simply implies that the cost will obviously be slightly lower than the other methods.
Adding Roles Per User
Creating individual roles perhaps is one of the best ways since every user that is entitled to access the data will have their own channel to the data. But over time, challenges begin showing up and may create a security problem, while any organization is expected to increase in the number of employees, this means that the roles will keep on increasing and therefore traffic will be a major challenge. But one major advantage with adding roles so that each user has their channel to access data is that it prevents the risk of future over privileged environments.
When data is scaled by the hierarchy hell design, the data owner may get into problems of retrieving data with time since the layers of the data soon posses a challenge of retrieving them. The Satori data storage experts will advise that data owners chose this method only if they are willing to make payments to the data engineers in the future since most of them are unwilling to tackle the challenge due to the complexity.