PipeRider 0.33 is out now, with the main feature being:
- Support for dbt's new Semantic Layer that comes with dbt 1.6.
More info:
https://docs.piperider.io/get-started/run/metrics
PipeRider Cloud now also has powered-up pull request integration with Impact Report history.
View the Impact Reports for all your pull requests in one easy dropdown.
A welcome improvement for those managing pull request review for their team.
#PipeRider #dbt #AnalyticsEngineering #DataEngineering #DataViz
#piperider #dbt #analyticsengineering #dataengineering #dataviz
I hosted the PipeRider Community Office Hours yesterday and one cool feature we demoed was this online dbt manifest viewer.
Generate a Lineage Diff from just your dbt project's manifest files.
Try it out for yourself here:
https://staging.cloud.piperider.io/online-viewer#/?utm_source=mstdn
Watch it in action on Youtube:
https://www.youtube.com/watch?v=LHuTb3e_4O8
#DataEngineering #DataViz #dbt #DataTools #AnalyticsEngineering #OpenSource #PipeRider
#dataengineering #dataviz #dbt #datatools #analyticsengineering #opensource #piperider
PipeRider Community Office Hours is happening next week
August 23rd, 2023
4:30PM PST / 07:30PM EST (US)
Topics:
- How to share you Data Impact Reports using PipeRider Cloud
- Deep linking from Pull Request Impact Summaries into PipeRider Reports and vice versa
- Features and improvements coming in PipeRider 0.32.0
Register:
https://us02web.zoom.us/meeting/register/tZctd-mrqjguGd2nMLzyrxcyxPNZqP-dwylm
All are free to join!
#piperider #opensource #dataquality #dataimpact #dbt
databricks is now a supported by PipeRider for dbt projects!
Now databricks users can get:
- Data Impact Reports
- Data profile comparisons
- Pull Request Impact summaries
- Lineage Diff
Check the PipeRider docs for a full list of supported data sources:
https://docs.piperider.io/reference/supported-data-sources
#dbt #piperider #databricks #datyaquality #dataimpact #dataengineering #analyticsengineering #opensource
#dbt #piperider #databricks #datyaquality #dataimpact #dataengineering #analyticsengineering #opensource
The latest issue of 'In the Pipeline', the PipeRider newsletter, is coming very soon.
Make sure you don't miss out by signing up!
https://app.us1.list-manage.com/subscribe?u=2b18366427f11835f05f68aeb&id=b82bfd845e
Featuring info about:
- New PipeRider features
- Data best practices
- Guest interviews
- Interesting data-related content
#DataTools. #DataOps #DataQuality #DataReliability #DataNewsletter #dbt #PipeRider
#datatools #dataops #dataquality #datareliability #datanewsletter #dbt #piperider
The PipeRider Community Office Hours for June 20th is now online:
https://www.youtube.com/watch?v=6scbaNMfXSc
- New features in PipeRider 0.27
- Lineage Diff in PipeRider Cloud!
- Special guest Spencer Ellinor from Sudo Labs
Timestamps and links in the video description
#DataQuality #DataReliability #PipeRider #DataViz #dbt #DataOps #LineageDiff #CodeReviewForData
#dataquality #datareliability #piperider #dataviz #dbt #dataops #lineagediff #codereviewfordata
PipeRider now has a dedicated tools channel on the dbt Slack!
Join the dbt Slack here:
https://getdbt.com/community/join-the-community/
Then, either search for the #tools-piperider channel, or follow this link:
https://getdbt.slack.com/archives/C05C28V7CPP
See you there 💪
#dbt #DataQuality #DataOps #OpenSource #DataReliability #DataTools #CodeReviewForData #PipeRider
#tools #dbt #dataquality #dataops #opensource #datareliability #datatools #codereviewfordata #piperider
You already use dbt to empower your data modelling workflow, now you need a way to understand how your code changes affect data
That's where "code review for data" comes in
Zero-config dbt integration and merge with confidence 💯
Get started today at
https://piperider.io
#dbt #DataQuality #DataReliability #OpenSource #DataOps #DataViz #DataProfile #DataTesting #PipeRider
#dbt #dataquality #datareliability #opensource #dataops #dataviz #dataprofile #datatesting #piperider
PipeRider 0.26.0 has just been released 📢
'PipeRider compare' is a powerful command, so we've included two options to guide you through using it:
--dry-run
will show each command that will be run
--interactive
will guide you step by step
More info:
https://github.com/InfuseAI/piperider/releases/tag/v0.26.0
To update just run:
pip install -U piperider
#DataQuality #PipeRider #DataReliability #DataOps #DataDiff #dbt
#dataquality #piperider #datareliability #dataops #datadiff #dbt
PipeRider 0.23.1 is out now and includes the following updates to improve your code review for dbt projects 🎉
- Athena users rejoice, you can now create and compare PipeRider reports from your data
- Compare recipes now support Jinja, so you can use env vars
- Compare recipes support comparing to an existing base report
Update or install with:
pip install -U piperider
More info:
#codereviewfordata #dbt #piperider #dataquality
Watch out for that schema change, it's a doozy!
You probably don't control upstream tables, so having some way to alert you when a table schema changes can save you time and effort.
Using Snowflake for an example, I made some major changes to a table and showed how they can be detected with #PipeRider:
https://blog.infuseai.io/how-to-detect-schema-change-in-snowflake-6ffcd28c3f15
#snowflake #DataEngineering #DataQuality #DataReliability #DataOps #DataObservability #DataWarehouse #ELT
#piperider #snowflake #dataengineering #dataquality #datareliability #dataops #dataobservability #datawarehouse #elt