PipeRider is an open-source toolkit for detecting data issues across pipelines that work with CI systems for continuous data quality assessment. PipeRider makes it easy for teams to have visibility about how data are being tested, and ensure errors are caught before they cause outages of downstream data applications like business intelligence dashboards or ML systems.
Ensuring consistent quality of data used to be difficult. Missing values, schema changes and data drift (to name just a few) could be introduced to your data at any time. Without effective data quality tools, these errors will affect downstream operations and result in countless lost hours of debugging and missed revenue opportunities from unexpected downtime. PipeRider allows you to define the shape of your data once, and then use the data checking functionality to alert you to changes in your data quality.
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Content type
Image
Digest
sha256:2a6f2c797…
Size
83.9 MB
Last updated
over 3 years ago
docker pull infuseai/piperider