Snowflake data catalog helps organizations by storing their data and by the transition from a lot of data to making a value from a lot of data. Snowflake data catalog contains metadata managing tools, which is useful for extracting more values from data and it gives control of data to its organization.
A data catalog is a collection of metadata combined with several tools like search, evaluation, easy access, and data management. In the age of big data which is hard to manage It is helpful for analysts and others because by using this they can easily find the data, they are looking for. The catalog has become an important part of data management. There are numerous benefits of data catalog like
- Improved data efficiency
- Improved data context
- Reduced risk of errors
- Improved data analysis
Data inventory (sometimes also called a data map) is the complete record of the information resources kept by an organization. It is a list of datasets with metadata that explains their content, source, and licensing along with the numerous other useful information. Data inventory is compulsory if you’re dealing with multiple types and sources of data. Data inventory and data catalog are used interchangeably but the data inventory is a more technical collection of metadata while the data catalog being less technical serves as a directory for the stored data in an organization.
Create data inventory for snowflake
If you are using snowflake data cloud and you have stored sensitive information of many customers to which many people of the organization (data analysts and data consumers) have access you may need a data inventory. Data inventory for snowflake can be create in the following ways:
- Manual data inventory
- Database scanner-based inventory
- Autonomous data inventory
Manual data inventory
In manual data inventory, you need to save all your data warehouse metadata tables. In Snowflake, you can get this metadata from your information – schema for each table or centralized from your snowflake Account – usage views. You can enrich this data by pulling it to an external application or database. If anyone of your organization creates or modifies the existing table it won’t be part of your data until you run and rebuild this script.
Database scanner-based inventory:
Database scanner-based inventory can be use automatically to create, enhance and structure an inventory of your organization’s data set. Snowflake helps you to periodically scan and maintain data inventory. And it can also be use for the supervision of the data. If data changes frequently integration is difficult to manage in this case autonomous data, the inventory systems can be use.
Autonomous data inventory
It is very difficult to stay up-to-date with a moving target and constantly identifying data types in each column of each table. That’s why autonomous data inventory system is built which continuously monitoring access to data, identifying the location of each data set. And classifying the data in each column as it is processing. Autonomous data inventory requires no configuration or integration time.
We spoke with many data engineers, data architects, data stewards, and data governance specialists. And then create an inventory system to maintain data. All the problems kept in mind during autonomous data inventory building. We recommend you autonomous data inventory as maintaining a manual inventory of your data.