Lumada Data Catalog 7.1.x combines functionality, architecture, and user experience from Data Catalog and Io-Tahoe with improvement in the user interface. Use this release to help you organize and evaluate data, and make it available to your data consumers.
With the new architecture, you can now:
- Install Data Catalog more quickly than previous versions.
- Work in multi-cloud environments.
- Tag data with business terms and use rules that are driven by machine learning to make the data actionable.
- Use Keycloak as the primary component for managing your users. Role management and RBAC are still maintained within Data Catalog.
Communicate directly with the Data Catalog application server:
Deploy your local agent on Kubernetes using Spark.
Deploy a standalone agent on Hadoop clusters.
- Use MongoDB as the main metadata store and Object storage for fingerprints.
Data Catalog 7.1.x provides a new graphic user interface for investigating your data. The new UI provides the following features:
You can now access your user profile and notifications from the top menu bar or use the menu bar on the left to navigate to different features in the product. See: Quick Start for more information.
Data Canvas view for Glossary and Virtual Folders now offers the following tasks in the same view:
Browsing resources in a tree structure
All browsing of data assets is performed on metadata in the repository. You are not required to enter their own credentials to access any JDBC data source.
You can view summary and details of the resource selected in the tree structure.
KPI information is displayed through metrics and statistic widgets.
See Data Canvas for more information.
As a Data Catalog 7.1 user, you can now perform the following tasks to help you determine data quality:
Determine if data is sensitive and/or confidential using lineage and data quality. See Using a rule for sensitive resource tagging for more information.
View Data metrics
View data quality metrics at the field level. See Navigation pane for more information.
View Data quality dimensions
View data quality dimensions on business rules. See Managing rules for more information.
Browse data assets, such as virtual folders, using metadata. See Exploring your data for more information.
Use data rationalization to determine potential copies and supersets or subsets that optimize migration. See Data rationalization for more information.
You can tag data with terms that are relevant to business users. See Getting started with business terms and term propagation for more information.
Build trust in the data
Use data lineage, data quality and sensitivity labels to build trust in the data. See Lineage discovery for more information on data lineage.
You can now open the Galaxy View to see a visual representation of your data. You can quickly view the structure of your data, its relationships, and its details. See Using Galaxy View for more information.
Changes in Data Catalog resource terminology are updated for 7.1.x:
- Tags are now called Business terms
- Tag Domains are now called Glossaries
Data Catalog 7.1.x includes support for the following data sources:
- Denodo 8.0
- Vertica 10.x, 11.x