IBM Knowledge Catalog on Cloud Pak for Data as a Service
Description
IBM Knowledge Catalog, a core service of Cloud Pak for Data as a Service, connects people to the data and knowledge that they need. The platform is supported by a data governance framework to ensure that data access and data quality are compliant with your business rules and standards. IBM Knowledge Catalog delivers automated enrichment of data assets with business metadata to align company policies and vocabularies to data in support of AI, analytics, and compliance use cases.
IBM Knowledge Catalog provides the data governance and privacy capabilities of the data fabric architecture.
You develop a knowledge core by curating data assets and enriching them with governance artifacts that describe their properties and meaning. Data stewards and data engineers curate data by importing metadata, preparing the data assets, enriching the data assets by assigning governance artifacts, and publishing the assets into catalogs. Some governance artifacts are predefined and are automatically assigned to data assets. Data stewards can create or import a business vocabulary to further enrich data assets during data curation. Knowledge Accelerators provide sets of ready to use business vocabulary for specific industries. You use categories to control who can create and use governance artifacts for what purpose.
You can create data protection rules that define how to protect data. Data protection rules are enforced automatically in a uniform manner in governed catalogs. You can configure data protection rules to mask sensitive data based on the content, format, or meaning of the data, or the identity of the users who access the data. When you mask data, you unlock the data for users who are not authorized to view sensitive data and avoid the need to maintain multiple copies of the data.
You provide a self-service way to find and share assets across your enterprise with catalogs:
- Collaborators in a catalog have access to data assets without needing separate credentials or being able to see the credentials. Collaborators have roles that control what activities they can perform in the catalog.
- Data assets contain information about how to access the data, data classifications, assigned business terms and other governance artifacts, relationships with other assets, and rating and reviews. Data assets can be relational data or unstructured data, such as PDF or Microsoft Office documents.
- Other types of assets in catalogs include operational assets, which data scientists create with tools to work with data, such as, models, notebooks, and dashboards.
- Search based on data asset metadata and properties and AI-powered recommendations help users find the data that they need.
Data scientists find assets in catalogs and then copy the assets into projects where they analyze data and build models with Watson Studio and Watson Machine Learning tools.
Quick links
- Administer: Manage and maintain the service
- Use: Work with the service
- Develop: Write code and build applications
- What's new: See what's new each week
- Known issues: View limitations
- Create: Create the service instance
- Videos: Watch tutorials
- Feature matrix: Comparison of deployments
- Offering plans: Capabilities for each plan
Integrated services
Unless otherwise noted, the supplemental and related services can be used with all editions of IBM Knowledge Catalog.
Service | Capability |
---|---|
Data Virtualization | Integrate data sources across multiple types and locations into one logical data view. |
IBM Match 360 with Watson (Beta) | Get a consolidated, central view of your organization's key business facts, and manage data throughout its lifecycle. |
IBM Manta Data Lineage | Use IBM Manta Data Lineage for advanced metadata import. |
Service | Capability |
---|---|
watsonx.ai™ Studio | Prepare, analyze, and model data in a collaborative environment with tools for data scientists, developers, and domain experts. |
DataStage | Use built-in search, automatic metadata propagation, and simultaneous highlighting of compilation errors to create, edit, load, and run jobs that transform and tailor information for your enterprise. |
Compatible data sources
See Connectors for a list of data source services that are compatible.