🎉 What's new

Atlan now supports native integration with Soda — the data quality platform! This new feature brings together the best of Soda data quality monitoring for Atlan users who use Soda Cloud. You can now catalog your Soda checks, their relationships to datasets, and results in Atlan for maximum visibility.

✨ Let's dig deeper

The Soda integration allows you to cover a variety of data quality use cases across your data estate. For example, you can now view multiple Soda check details while exploring a Snowflake table asset profile. Additionally, Soda check results can now be easily displayed in the lineage graph for datasets with downstream dashboards or analytics.

To get a better idea of what this looks like in action:

View Soda check results on the lineage graph for a sample Snowflake table with downstream dashboards.

View multiple Soda check details while exploring a sample Snowflake table asset profile.

Explore a Soda check asset profile in Atlan.

Filter by and discover Soda checks for your assets in Atlan.

Learn more about how to integrate Soda with Atlan:

• How to set up Soda
• How to crawl Soda
• What does Atlan crawl from Soda?

👏 Give it a shot

Atlan's new native connection to Soda is a game changer for data quality monitoring. Ready to bring Soda and Atlan together? Get started in 30 seconds by adding an Atlan workflow to your Soda instance! Stay tuned for upcoming enhancements and capabilities.

Please note that this feature will be a paid addition. Reach out to your customer success manager for more information.

🎉 What's new

Announcing some exciting updates for the Atlan dbt action in GitHub:

• Environment-based mapping — If you have set up different branches for your dbt environments, you can now map your branch name with the dbt environment name and Atlan will fetch downstream assets for that specific environment. Use the DBT_ENVIRONMENT_BRANCH_MAP input in the GitHub action config to map dbt environments to branches and keep everything in sync!
• Materialized asset details in comment header — You can now easily access a link to the materialized asset along with the environment and project name in the comment header to get the context you need for materialized assets.
• Ignore alias — You can also use the IGNORE_MODEL_ALIAS_MATCHING input in the Github action config to ignore matching model names through aliases. This will allow you to fetch the downstream impact of the dbt models based on the file name instead of the alias.

... and some bug fixes to boost your workflow:

• Detect new models — Previously, when a new model was added that was not yet present in Atlan, the dbt action used to break. Now you'll be notified if a new model has been added and view the downstream impact once the asset has been cataloged in Atlan.
• Limit the list of downstream assets to 100 — If you've got assets with extensive lineage, we've got your back! We've limited the list of downstream assets to 100, so you no longer need to worry about hitting the GitHub comment character rate limit.
  

To learn more, see How to add impact analysis in GitHub.

Get started with exploring the updates and happy dbt-ing! 🎉 

🎉 What's new

This one's for our Java developers — announcing the initial release of our Java SDK! The Java SDK allows you to integrate with and automate actions in Atlan using all the features you know and love in your favorite IDE — type-ahead coding support, debugging, dependency management, version control, and so on.

✨ Let's dig deeper

Our SDKs abstract the need for you to understand all the underlying details of our REST APIs — their payload formats, endpoints, the universe of possible fields, and so on.

Here are some cool things you can do:

• Write your own metadata ingestion — for example, reading an OpenAPI spec and creating the relevant API objects in Atlan.
• Code up a duplicate detection algorithm to identify tables that appear to be duplicates of each other, even when the names of those tables and the ordering of their columns might differ.
• Deploy an event-based integration that calculates new metrics or enforces the validity of a change any time metadata is changed in Atlan — whether by a user in the UI or through an out-of-the-box crawler or some other programmatic automation.

👏 Give it a shot

Get started integrating and automating actions in Atlan through Java, available to include in your project today directly from Maven Central!

Learn more here:

• Get started with the Java SDK
• Star the public GitHub repository
• Review useful code that already uses the Java SDK

🎉 What's new

Lead the charge on data governance with dbt tag management in Atlan! Atlan allows you to import your dbt tags and update your dbt assets with the imported tags.

✨ Let's dig deeper

If you have already set up dbt, you do not need to make any modifications to your dbt Cloud or dbt Core setup. You only need to configure the dbt crawler to import dbt tags. Atlan will then import your existing dbt tags automatically for you!

Tag sync is currently one way — dbt ➡️ Atlan:

Tags created natively or sourced from dbt can be imported to and managed within Atlan.

Update your dbt assets in Atlan with imported dbt tags and manage your tagged assets more effectively. 

👏 Give it a shot

Learn more about dbt tag management here:

• How to manage dbt tags
• How to attach a dbt tag

Supercharge your active data governance efforts with dbt tag management in Atlan. Reach out to your customer success manager for more information.

🎉 What's new

Supercharge your active data governance efforts with Snowflake tag management in Atlan! You can now import your Snowflake tags to Atlan, update your Snowflake assets with the imported tags, and push the tag updates back to Snowflake. You can also update the tag metadata or refine the classification scheme both in Snowflake and Atlan without leaving Atlan.

✨ Let's dig deeper

Tags can be synced both ways — Snowflake 🔁 Atlan:

Tags created natively or sourced from Snowflake can be imported to and managed within Atlan.

Assets enriched within Snowflake tags in Atlan can be synced back to Snowflake.

This provides an easy-to-use structured and consistent mechanism to manage assets based on tags. These tags can be used alongside access control policies both in Atlan and Snowflake to boost your data governance initiatives.

👏 Give it a shot

Learn more about Snowflake tag management here:

• How to manage Snowflake tags
• How to attach a Snowflake tag
• Troubleshooting Snowflake tag management

Lead the charge on data governance with Snowflake tag management in Atlan. Please note that this feature will be a paid addition. Reach out to your customer success manager for more information.

🎉 What's new

We've enhanced the options for metadata policies in purposes to support the addition or removal of terms. Admins can now allow or restrict their users from adding or removing terms through purposes. If there is a deny policy in place, users will have to raise a request to update assets with suggested terms. 

Take another step towards active data governance with a better sense of purpose in Atlan and enjoy even more granular controls on assets!

🎉 What's new

This one's for our member users — we've now added the option for admins to allow member users to access certain dashboards in the reporting center.

If enabled by admin from Labs, member users will be able to access the following dashboards:

• Assets — monitor your assets
• Glossary — track metrics for your glossaries, categories, and terms
• Insights — track metrics for your queries
• Usage and cost — track asset usage and associated costs

Access to the governance and automations dashboards is reserved for admin users only.

This enhancement provides you with the opportunity to expand usage of the reporting center in Atlan to more users in your organization while keeping particularly sensitive reports just for admins.

🎉 What's new

Atlan now supports data profiling for your Databricks assets!

You can create profiling playbooks in Atlan to:

• Automate the process of profiling your Databricks assets.
• Proactively monitor and resolve any data quality issues.
• Enrich assets with key profiling information on user-defined schedules.

Please note that data profiling is part of the advanced governance package from Atlan and comes at an additional cost. Reach out to your customer success manager for more information.

🎉 What's new

Atlan now supports adding tags to your columns directly from Google Sheets! As tag management becomes increasingly important for data teams, we’ve added the flexibility of bulk tag management from spreadsheets.

Use the Atlan add-on for Google Sheets to:

• Import column metadata for any asset in Atlan to Google Sheets.
• Add tags to your columns in bulk directly from Google Sheets — the tag must already exist in Atlan, tag name match will be case-sensitive, and separate multiple tags with commas.
• Push the tag updates back to Atlan, and you're done!

If there are any invalid tags or typos in the tag name, changes will not be synced and you'll receive a warning popup on your spreadsheet. Stay tuned for more updates on tag management and spreadsheet integrations! 😉 

 🎉 What's new

Give it up for the newest addition to your assets in Atlan — Snowflake user-defined functions (UDFs)! With this release, you can easily filter for and discover your Snowflake UDFs, and document them in Atlan. Asset lineage support is also in the works, so stay tuned for more updates!

Once you have crawled Snowflake, you can:

• Discover and document your Snowflake user-defined functions in Atlan.
• View the language in which the function was written (Python, Javascript, Java, Scala, or SQL), handler code, and function type (tabular or scalar) from the asset sidebar.
• Use the following filters to quickly search for and find the functions you need — Language, Function type, Is secure, and Is external.

Get started with exploring Snowflake UDFs in Atlan today!