Custom resources play an important role in a data catalog's ability to accurately represent your company's metadata. Users need to be able to add resources that aren't directly from data sources to give a full picture of their data landscapes. Now, users can create these custom resources directly from the UI and manage them like any other resource.

After designating which resources should have this feature enabled in your metadata profile, users will be able to access these resources in the "Other resources" section in the "New resource" dropdown (in the example below, the custom resources are "Bank account" and Credit card").

For more information, refer to the documentation.

We're pleased to announce our 2nd-generation Monte Carlo collector is now live for beta customers! Monte Carlo is a Data Observability Platform that lets users know about data problems (like broken pipelines), so they can proactively resolve issues. 

The Monte Carlo collector harvests both Incidents and Monitors, which inform users about the issue, when it happened, and where it happened.

For example, users can view relevant information about Incidents and Monitors, like Status, Count, the Date Created, as well as Owner and Severity. You can also open the specific Incident in Monte Carlo directly from the data.world platform. 

You can read more about the newest Monte Carlo collector in our documentation. 

Existing customers, please reach out to your data.world representative to learn more about becoming a beta user.

Quick update! The browse card - a configurable, quick navigation card that directs end-users to a curated starting point - was such a hit with our private instance Enterprise customers that we've extended it so you can configure one for each of your Organization profile pages. Woohoo!

Read our Implementation Guide to get started.

Introducing our newest feature: bulk import and edit for glossary terms!

Catalog administrators can now bulk upload glossary terms for faster onboarding and enrichment, and make bulk edits to ensure your catalog is always accurate.

This feature enables the following workflows:

• upload glossary terms using a template custom to your catalog's metadata profile

• download a spreadsheet of all current glossary terms

• edit information, add new terms, delete terms in exported spreadsheet

• upload updated spreadsheet to application

• preview changes made in spreadsheet before applying changes

For more information, refer to the full documentation here.

We now support metadata collection from Tableau via Connection Manager. Previously, users were able to collect metadata via the data.world Collector, but now users can perform this task in-app.

Both Tableau Online and Tableau Server are supported, as well as the following connection types: Direct connection (inbound), SSH tunnel (inbound, preferred).

For more information, refer to the documentation here.

We've been super busy over the last few weeks, and we're excited to share that we've officially launched a new feature called the browse card, a configurable, quick navigation card available for private instance Enterprise customers.

This configurable card shows up on your Action Center home page and helps you direct your users to important resources, organizations, collections, and other links - giving them a curated starting point. Read our Implementation Guide to get started or reach out to your Customer Success representative if you need to upgrade your catalog plan.

We have some awesome news! Our member access summary page is now live!

The member access summary makes it much easier for members to understand the various levels of access they have in an organization. As we work to make our access levels more flexible and granular, this page also gives our org admins the ability to quickly audit the level of access their members have and take action.

newThe wait is over! Explorer - the latest part of our Eureka™ feature suite - is now generally available to all eligible enterprise customers.  

Explorer is a visual map of your data and relationships powered by the knowledge graph. It leverages enhanced automated lineage metadata collection and the context of the graph to deliver a unified, consolidated view of your data pipeline. It serves as a source of truth, providing valuable insight into your most important data assets.

Understand your data landscape in a powerful way with an enhanced graph visualization that enriches your understanding and discovery. Query this data for more insights. Find answers in a matter of clicks, not hours or days.

Data.world now supports integrations authenticated via the OAuth protocol in Private Instances. 

A complete list of supported integrations are:

1. DW Metadata Profile Editor + data.world
2. dw-editor + data.world
3. Grafo + data.world
4. CKAN-ext + data.world
5. Golang + data.world
6. Slack + data.world
7. Chart Builder + data.world
8. Salesforce + data.world
9. Jupyter + data.world
10. Tableau Desktop + data.world
11. IFTTT + data.world
12. Google Data Studio + data.world
13. Singer + data.world
14. R and R Studio + data.world
15. KNIME + data.world
16. Java/JDBC + data.world
17. Python + data.world
18. MicroStrategy + data.world
19. Power BI + data.world
20. Plotly + data.world
21. SPSS Modeler + data.world
22. SPSS Statistics + data.world
23. Algorithmia + data.world
24. R DBI + data.world
25. SAP Analytics Cloud + data.world
26. KNOTS (beta) + data.world
27. Marketo + data.world
28. IBM Db2 + data.world 
29. Hubspot + data.world
30. Google Analytics + data.world
31. Google Ads + data.world
32. Facebook Ads + data.world
33. Amazon S3 + data.world
34. Excel + data.world

For developers: Any additional apps not mentioned above, but which authenticate via Oauth can be directed to point at auth.data.world. Please refer to our developer documentation to guide you through the configuration changes required.

Developer documentation: link 

We’re pleased to announce the newest metadata collector, Fivetran, is now available for Enterprise customer use. Fivetran is a UI-based Extract Transform Load (ETL) designer for creating pipelines between users’ source systems and data warehouses. 

Metadata collected includes data source, destination, column, table, schema, and our newly announced Lineage functionality as well. You can read more about how to use the Fivetran collector in the documentation.