Getting Started with Data Catalog
Get started with Oracle Cloud Infrastructure Data Catalog by creating the user groups and access policies needed to create a data catalog.
This tutorial is directed at administrator users because they are granted the required access permissions.
In this tutorial, you:
- Create a user group for data catalog admins. Optionally create user group(s) for other users, such as data catalog data engineers, data scientists, data stewards, and data officers.
- (Optional) Create a compartment for your data catalog objects.
- Create policies to give your data catalog admins and other user groups access to use data catalog resources.
- Create a data catalog.
For additional information, see Data Catalog Overview.
Before You Begin
To successfully perform this tutorial, you must have the following:
- An Oracle Cloud Infrastructure account. See signing up for Oracle Cloud Infrastructure.
- At least one user in your tenancy who wants to work with Data Catalog. This user must be created in the Identity service.
1. Creating an Admin User Group
A new user has no permissions until you place the user in one or more groups and create at least one policy to give that group permission to either the tenancy or compartment.
To create a user group and add users to this group, perform the following steps:
Data Catalog is used by various data professionals, such as data engineers, data scientists, data stewards, and chief data officers. Each type of user should be given the permissions they require to do their tasks. You can create different groups for each type of user to manage these permissions effectively. In this tutorial, you create one group for all data catalog users.
To create a user group, perform the following steps:
- From the Console navigation menu, under Governance and Administration select Identity and then click Groups.
- Enter a name for your user group. For example, data-catalog-users.
- Enter a description. For example, Group of data catalog users.
- Click Create.
- The new group is created. Click the group name.
- Add the users you want in this group. These users must be created in Identity under Governance and Administration.
- Click Add.
2. (Optional) Creating a Compartment
Compartments help you organize and isolate your resources to make it easier to manage and secure access to them.
To create a compartment in your tenancy, perform the following steps:
- Click Compartments.
- Click Create Compartment.
- Enter a name for your compartment. For example, data-catalog-work.
- Enter a description. For example, Compartment for data catalog work.
- Click Create Compartment.
3. Creating Policies
A policy specifies who can access which Oracle Cloud Infrastructure resources that your company has, and how.
Data Catalog administrators need access to perform all data catalog related operations including configuring private networks.
To create a policy for administrators, perform the following steps:
Data Catalog users need the appropriate access to perform their required operations in a data catalog.
To create a policy for data catalog users, perform the following steps:
4. Creating a Data Catalog
When you create a data catalog, you get a single collaborative environment to manage technical, business, and operational metadata. You can collect, organize, find, access, understand, enrich, and activate this metadata.
To create a data catalog, perform the following steps:
- From the navigation menu, under Data and AI, click Data Catalog.
- Click Create Data Catalog.
- Select the compartment that you created previously for your data catalog work.
- Enter a name for the data catalog instance.
- (Optional) Enter one or more tags for your data catalog resource. Tags help organize and track all the resources within your tenancy.
- Click Create Data Catalog. The data catalog is created within seconds and is listed in the Data Catalogs page.
What's Next
Now, you can harvest data sources. Try one of the following tutorials:
- Harvesting from Oracle Object Storage
- Harvesting from Autonomous Databases with Private Access
- Harvesting On-Premise Data Sources
After harvesting data sources, you can explore the harvested data entities and attributes, create a business glossary, and link terms and tags to your data objects.