Release - December 13th, 2021
✨ New ✨#
Big Query Integration#
Details
Product Component
Metrics Framework
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We now support Google BigQuery as a source data warehouse to build metrics off of in Transform!
Verification steps
If you use BigQuery as your source data warehouse, you can verify the integration by building your Transform configurations off of data in BQ.
New Signup Flow#
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Product Component
Metrics Catalog
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We now provide users the option to sign up for Transform directly as opposed to needing to have their account created by someone. Users associated with an existing Transform organization (as determined by their email domain) can access Transform's login page at app.transformdata.io and hit "sign up" to create an account. Once the user signs up with their email and password, they will receive an email prompting them to verify their email. Once verified, they can log into Transform and celebrate!
Note: We will also be releasing updates to the User Management page shortly so that users can invite people (as opposed to the current behavior of admins needing to manually creating users), which will send the invited user an email to access the signup flow.
Verification steps
Visit app.transformdata.io and confirm you have an option to log in or sign up. New users with a domain tied to an existing organization should be able to signup in Transform without an administrator.
User Management Search#
Details
Product Component
Metrics Catalog
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On the user management page, we've added a search bar so you can search for users. The search filters by name and email.
Verification Steps
Navigate to Settings —> User Management and see the search bar. Type in a user to find one or narrow down results.
Trim and Untrim Incomplete Window when Using Granularity#
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Product Component
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Our Granularity option in the chart by default trims incomplete time periods so there are no false trends displayed.
If you would prefer the whole window of data when selecting granularity, we added a toggle in the granularity menu that indicates whether you want to return untrimmed granularity. If you select untrim as opposed to trim (default), it will include the whole time period that's selected on the chart regardless of incomplete windows.
For example, if you are looking at a metric chart that shows data from March 1st to June 15th, selecting a granularity of monthly with the default behavior will show you March, April, and May's monthly aggregated value since June is only a partially complete month. Conversely, selecting untrim will show you March, April, May and June. Note that including incomplete windows may show false trends of spikes or dips as compared to complete months since the data is not complete.
Verification Steps
View Granularity menu in edit chart, confirm you have an option to select trim (default selection) or untrim, and validate with a time range that contains an incomplete window (e.g., incomplete month or week).
Header and Metric Detail Redesign#
Details
Product Component
Metrics Catalog
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We updated the header of Transform's application on every page, which includes some aesthetic updates as well as an avatar logo on the right hand indicating the person using the app's identity.
We've also updated the right-hand side menu on the metric page that includes Tiers, Owner, Approval and Changes. The information on the right-hand side is largely the same, but it's organized and displayed differently.
Verification Steps
Log in to the application and see the updates to the header. Navigate to any metric page to see the updates to the right hand side.
🐛 Bug Fixes 🐛#
Display "Ghost" Metrics#
Details
Product Component
Metrics Catalog
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There are certain cases in the Transform application where objects are created around metrics that have since been removed from the Transform model. In this case, users will now see an indication that the metric used to exist but no longer does (with a graph that has a ghost icon). We wanted to expose this information so users won't be confused about a metric they might have viewed in the past and that there's a clear reason why the metric is no longer present.
Verification Steps
This is not easily verifiable unless a model has metrics that have since been removed. If you experience this case, you can verify that Transform shows the ghost metric graph.