Historical Changelogs
Last updated
Last updated
We are delighted to announce our new integration with ThoughtSpot! This integration allows you to view the metadata for all Liveboards, Answers, and all data objects in your ThoughtSpot environment, including tables, views, and worksheets. Additionally, you can explore the comprehensive lineage, both upstream and downstream, for all ThoughtSpot objects and your Data Warehouse tables.
Business Glossaries are present in most organizations, providing a list of business terms and their definitions that are used consistently across departments and teams to
ensure everyone is speaking the same (business) language
. Because Glossaries are important for business, we create a document type just for the terms. This new document type allows users to more easily find and browse the key vocabulary of the business.
We're thrilled to announce the ability to filter cost insights by Snowflake warehouse and additional warehouse size insights. This enhancement empowers you to easily dive into specific warehouse groups, enabling a clearer understanding of your Snowflake Cost.
The new Data Type column has been added to data warehouse tables. This data point shows the data type of each column for easy readability.
There is a new tooltip in town to help new users in the organization better understand what popularity is and how to use it. We have added an info icon next to popularity in the list view. When a user clicks on the icon, a tooltip pops up to explain how the popularity score is calculated.
Setting up your GitHub repository and dbt connection is now even more convenient with the option to configure everything directly from the UI.
Furthermore, you'll now have the ability to view a comprehensive list of PRs that were generated via the docs Sync feature within your GitHub repository for your dbt datasource.
Now you can download all your organization users at Select Star including the information such as name, email, role, and SSO.
In addition, we've made another update! You can update each user's team via the API without needing to accessing to Select Star.
You now have the power to select a subset of warehouses from the list and seamlessly run the analysis that fits your needs perfectly.
Showing the data object file path on Favorites allows users to quickly and easily access the data object's location. Users can easily understand the data object's location, especially when there are tables with the same name in different schemas.
We recently release AI documentation for data schemas, today we are excited to expand support to BI dashboards, charts and datasets.
With AI generated documentation, you can quickly generate documentation for all your data assets, backed by OpenAI's chatGPT.
Additionally, the AI description as well as any other available description can be retrieved with the
GET /v1/metadata/<guid>/
endpoint.
Note: Select Star will send dashboard and chart titles, column sql definitions, schemas, queries, and existing documentation to facilitate description generation.
Operating at scale is important for organizations with a lot of data and many users. Our latest additions to our API will help you manage and review users as well as their permissions.
User Management
- use our new Users API to create, edit and delete users by API. This can be combined with our new Teams API to additionally add users to a team and modify team membership.
Audit Access
- use the new Users API to retrieve information on existing users, including their role, to ensure that each user has the correct level of access.
Check out our documentation for some handy examples and our API docs for full details.
We've updated our database and schema page to display its popularity and owners. By understanding who owns the data and how popular it we believe that you can make better decisions about how to use the data in the organization.
This information is also available via API
We're excited for these changes and hope you are too!
We're excited to announce several updates that we believe will enhance your Select Star experience.
We are thrilled to announce our latest feature - dbt docs Sync! With this addition, you can now sync your table/column descriptions visible in Select Star back to your dbt Github or Bitbucket repo.
[Github PR]
[Bitbucket PR]
If you know where a document is located, you can easily share it with other teams or individuals. This promotes collaboration and improves the efficiency of your data-driven workflows.
With this enhancement to team and user pages, you can quickly see documents that are owned by the team or user.
[Team page]
[User page]
AI Documentation for tables has been expanded to be available from database and schema pages. It was previously available directly on the table page, and now you can quickly generate descriptions for tables directly from the schema without having to navigate to a new page.
Improving upon our automated PII detection release a couple of months ago, we've added an update history so you can easily audit changes to PII detection rules.
Hope you have a great the last weekend of July! ☀️
Are you tired of empty documentation pages? Spending too much time filling in the blanks? Let AI help. We are very excited to announce that AI Generated Documentation is now in private preview.
With AI generated documentation, you can quickly generate documentation for tables and columns, backed by OpenAI's chatGPT.
Note: Select Star will send schemas, queries, and existing documentation to facilitate description generation.
Select Star works to ensure that if there could be a description for an object, there is. We do that by getting descriptions from users, from your data sources, and from suggested descriptions (upstream and downstream as-is lineage, similar tables, etc.).
With this new improvement, you can see each of the descriptions that Select Star has identified, and pick the one that fits best.
Also, you can retrieve all the description lists from sources in API.
[Column description]((https://api.production.selectstar.com/docs/#tag/columns/operation/columns_retrieve)
Read more on Select Star's Automatic Documentation here.
We are thrilled to announce the launch of our brand-new Cost Analysis feature, designed to help you manage your Snowflake Spend. With Cost Analysis, you gain visibility into your Snowflake compute spend by query, dashboard, user, and team, enabling you to understand how to maximize the value derived from Snowflake.
Reach out to support@getselectstar.com to get access to AI Documentation or Cost Analysis.
We hope everyone is having a good summer so far! We're working hard to bring some exciting news in June and can't wait to announce new features. Before then, we'd like to introduce some improvements that will help your day-to-day.
Now you can use rich text or markdown in custom attributes, adding styles like bold text and links. This styling can be implemented in the UI and by API. Now your custom attributes can look as beautiful as you've always envisioned them.
For more details: Link
Having source table count on dashboards assists data scientists and engineers in delivering reliable and meaningful insights, ensuring data accuracy, enabling data traceability, and supporting data governance.
Having downstream and upstream views in the database and schema pages provides our users with valuable information about the data flow and lineage within the system. Sorting them to get a bird's-eye view of how your data is consumed and transformed within your organization.
Better search always improves one's experience. We are excited to enhance your PBAC policy creation with our fancy new search component which allows users to filter by object type to quickly find what they’re looking for.
Now, we support Looker View field as a metric dimension, and you can use the search filter in the 'Represented as' section.
We are excited to announce the latest release of new features & improvements:
Select Star's Automated PII column detection is a feature that automatically detects columns in a dataset that contain personal information such as names, addresses, social security numbers, and other identifying data. This helps organizations comply with privacy regulations and enhance data security while saving time and resources.
You can check more info here. This feature is currently in beta! Please reach out to support@getselectstar.com to activate this feature.
Our main documentation feature now includes strong support for Markdown formatting via API. With this new release, you can now create and edit Markdown-formatted content programmatically, using our API.
You can also use markdown to write the descriptions by clicking on the markdown toggle at the bottom of the editor. Learn more about this support here.
Select Star now supports both SlateJS and Markdown for formatting text in rich text descriptions. To update the rich text description field via API using SlateJS format, you need to send a PATCH request to the API endpoint with the updated content in SlateJS format.
Example
Here is an example of a Python script making a request to update a rich text description:
After making this request, you’ll be able to see this in the Select Star platform as a result:
Our team has been hard at work to display S3 lineage for Snowflake tables. So, if a file (CSV, JSON, etc) was ingested by a Snowflake table from a S3 location, you can now see the lineage in the Upsteam tab and in Lineage Explore. 🎉
Snowflake External Table and Stage support coming soon!!
Along with support for S3, we are also launching the new integration with AWS Glue. With this integration, you can view the databases and tables in your AWS Glue environment and you'll be able to see downstream table lineage for your Snowflake tables.
List of AWS Glue tables with location -
Downstream -
Lineage -
Learn more about our AWS Glue integration in the doc.
Have a great day!
-Select Star Team 🫶
We recently released a new feature to get GUID of schema, table or column when a full path is provided in the API call.
Example request -
GET https://api.production.getselectstar.com/v1/tables/?page=1&page_size=1&search_name=Snowflake.NewAdventureWorks.Person.Address&query={guid}&order=-popularity
In the example - Snowflake.NewAdventureWorks.Person.Address is {Select Star Data Source Name}.{Database}.{Schema}.{Table}
You can also use the columns endpoints to get the GUID for a specific column.
Based on our user feedback, we are introducing updates to our Tableau integration:
Display underlying calculation for Datasource Fields We now show the underlying calculation for Calculated Field within a Tableau Datasource.