For customers with the data.world Standard Tier or above, two new tables are available in the standard events and logging package `baseplatformdata` dataset.  data.world has always provided metrics and the raw events that drive them as query dataset within the platform allowing our customers to build their own custom success measures, KPIs and dashboards for catalog adoption and metadata programs.  This capability now extends to metadata governance programs as well with special audit event log tables specifically designed to track changes to metadata.

Audit events allow administrators to monitor the actions performed by all the users in the data.world application through the UI or while using API. The audit log reporting functionality enhances the accountability of actions in the application. Administrators can track the actions taken by users in the application and find the root cause of issues by identifying the resources on which the action was performed and who performed the action.

Please see the Audit Events documentation for more details including full table descriptions and sample queries.

As a Snowflake Powered By partner, data.world is proud to announce that usage and audit event data, previously only available in a data.world dataset, is now available as a Snowflake Marketplace Private Listing.  This allows data.world customers access to their full history of data.world events data via the Snowflake Data Cloud enabling high performance and advanced analytic functions on this data.  It also makes data.world events and logging data available via Snowflake with no ETL required for integration in a wide variety of use cases.  To read more about this capability and how to request access to a Private Listing, please see our documentation here.

Last month, we introduced the new CLI Command Builder tool, which allows users to set through a wizard to generate a CLI command or YAML file to run a collector. Today, we're thrilled to announce that the CLI Command Builder supports all on-premises collectors.

Our resource pages just got easier to quickly scan and navigate. With the latest update now in production, the changes mentioned in our earlier post, provide users with the ability to scan the available metadata and get the insights needed to make decisions efficiently and effectively.

The quick section navigation links on the overview tab of your collection, resource, and glossary pages will make navigating the areas of the resource page faster. 

We are happy to announce the release of our latest feature: Advanced Search within the global search bar. 

But wait, there's more!

For customers who have hierarchical collections, you'll want to check out our beta release of the collection picker in the Advanced Search modal. This gives users the ability to quickly scope their search to a branch of collections in the domain hierarchy. Be sure to turn on the beta feature flag in the advanced settings to see this feature.
 

We're thrilled to bring a much-anticipated feature to the platform: the ability to bulk edit all metadata resources by Collection!

Users could previously bulk load and edit business glossary terms, but now this is possible for any type of resource. Simply download a spreadsheet of all the resources in a Collection, enrich them by editing fields or add new resources, and upload the changes to the platform.

On the Settings page of a Collection, users with edit access to the Collection will see the following modal:

Clicking "Download resources" will generate a spreadsheet that contains all resources, sorted by resource type, in that collection. This spreadsheet contains helpful instructions on how to use the spreadsheet on the "Overview" sheet.

Organization admins will love our new Groups access summary feature that gives them a full view of the various access a Group might have - organization-wide or direct access to collections and data workspaces (datasets and projects).

To find this new view, go to your Organization and click on Members > Groups > Access summary

You will see two sections: 1) organization-wide group access provides the group access to the entire catalog or all of the workspaces beyond the member default and 2) the direct access control section provides a view of the access the Group has to individual collections or workspaces along with the level of access to each. Users can manage direct access from this view without having to visit each collection or workspace.

This new view makes Group access management much easier by providing a one-stop summary of Group access. You can read more about managing Groups in our documentation portal.

At data.world, our goal is to help organizations unlock the full potential of their data. If you're interested in learning more about agile data governance, please visit our website and book a demo or reach out to your customer service representative.  We look forward to helping you manage your data and transform the way your users discover it!

Introducing the new Metadata Collectors page and CLI Command Builder tool!

With these features, catalog administrators can more easily set up on-premises collectors and see all the collectors (on-premises or cloud) that are bringing metadata into their catalogs.

Currently in BETA, this feature has two components:

• CLI Command Builder: allows users to step through a wizard to set up 16 on-premise collectors: Athena, AWS Glue, Databricks, Db2, dbt, MySQL, Oracle, PostgreSQL, PowerBI, PowerBI Gov, Presto, RedShift, Snowflake, SqlAnywhere, SQLServer, Vertica. The wizard generates either a CLI command or a YAML file, so users can more quickly set up collectors during implementation. For more information, refer to the documentation (available sources are denoted as "collector wizard available"). In an upcoming release, all on-premise collectors will be available.

• Metadata Collectors Page: found in the Settings tab of an Organization, this page shows all of the collectors that are currently appearing in your catalog and other important information, such as the last time the collector ran. This page also includes cloud collectors set up via Connection Manager. For more information, refer to the documentation.

We're happy to announce a NEW FEATURE called Collection hierarchy. This feature will help our enterprise customers organize their domain-driven data catalogs to simplify data management and improve data discovery. 

Collection hierarchy is a tree-like view of your hierarchical collection relationships viewable on the collection overview tab. It organizes data resources and semantic concepts into increasingly more granular or specific groups based on their common characteristics - like domains, categories, markets, etc. It allows you to express your data taxonomy in a way that makes sense to your users:

• Easily find relevant data: With resources and terms grouped into collections, users can quickly navigate relevant collections.
• Simplify data management: By grouping data assets into hierarchical collections, you can simplify the process of assigning manage and edit levels of the catalog metadata.

For example, a sales steward might organize resources and terms into different Sales subcollections, such as Sales by Region, Sales by Product, and Sales by Customer. With this structure, your sales analysts can easily find the data they need to make more informed decisions.

Collection hierarchy, combined with other recently released features like Groups, Collection Access Control, and the ability to create new Collection types, provides organizations with the building blocks to build powerful data products and organize their domain-driven data catalog, simplifying data management, and improving decision-making. We look forward to seeing the positive impact it will have on our customers.

At data.world, our goal is to help organizations unlock the full potential of their data. If you're interested in learning more about data mesh and our solutions, please visit our website and book a demo. You can also read more about our collection features on the documentation portal. We look forward to helping you manage your data and transform the way your users discover it!

We are pleased to release enhancements to our BigQuery Collector! Now, you can harvest column-level lineage between views and tables, as well as more metadata about datasets, projects, tables, and views.

These enhancements will enrich your data discovery experience, helping you understand your BigQuery data better. For instance, now you can use the Explorer Lineage interface to view lineage relationships between tables and views to track data flows. New metadata highlights include Dataset Labels, Last Modified, Date Modified, Created Date, Table Partitions, and View SQL. 

You can see the full list of harvested metadata in the documentation. As always, please reach out it you have questions!