
Data quality https://xitter.cf/t.co/aqDglaYbhi (@getpiperider) Data versioning https://xitter.cf/t.co/i6r2cQA5YB End-to-end MLOps https://xitter.cf/t.co/rECe82dVL3 Discord community: https://xitter.cf/t.co/UXpEaSuQK0
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The data profile comparison summary highlights things like schema change the percentage change of values within tables
The markdown-formatted summary is specially designed for pull request comments:
The PipeRider workshop that accompanies week 4 of the @datatalksclub Data Engineering Zoomcamp is now online to watch:
youtube.com/watch?v=O-tyUOQc…
You’ll learn how to use PipeRider's data comparison to understand the impact of your #dbt data model changes
📢PipeRider 0.18.0 is out now and our #dbt support is even better!
- dbt defined metrics in HTML reports
- Visualize metric differences between data profiles
- Metric comparison summary in Markdown to paste into your pull request comment
⭐️github.com/InfuseAI/piperide…
#opensource
Thanks to @moderndatastack featuring PipeRider in the latest MDS newsletter issue 69.
If you haven't seen it, check it out, it's a good information source to learn more about data stack: letters.moderndatastack.xyz/…
And there will be an MDS summit in March, can't wait!
PipeRider 0.17.0 is out now!
🎁 New in this version
- Support for dbt-defined metrics
- See time-series metrics in PipeRider reports, and compare metrics between reports
📔 How to use this feature
docs.piperider.io/cli/dbt-in…
⭐️GitHub:
github.com/InfuseAI/piperide…
PipeRider 💘 #dbt
As a data engineer, here are 5 areas you can focus on this year to make your job easier, and improve communication with stakeholders 🧵👇
#dataengineering #analyticsengineer #dataengineer #tips #NewYearResolution #NewYearsResolutions
Looking for a way to help non-data engineering teams understand a dataset?
PipeRider's data profile reports are the perfect way to grasp the contents and structure of a data source
💡Just export and share the HTML reports, no need to build a dashboard
github.com/infuseai/piperide…
As a data engineer, what are some of the possible upstream changes that scare you the most?
Schema change is definitely one that could screw things up for you!
Here are 5 schema changes that could catch you off guard 🧵👇
#dataengineering #datareliability #dataobservability
dbt state is a powerful way to build only modified/specified models
You can now profile and test #dbt states with PipeRider, available now in version 0.14
👀 Read more
blog.piperider.io/data-relia…
⭐️Star on GitHub
github.com/infuseai/piperide…
#dataquality #datareliability #opensource











