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JSON Trace

Recent Posts

  • Data Contracts and Data Products Are Not Enough: Why Data Teams Need Data Contexts
  • Effective Data Monitoring Requires a Relative Baseline
  • Data Culpa Receives First Issued Patent for Systems and Methods for Monitoring Data Quality in Data Pipelines and Databases
  • MongoDB’s Unique Challenges for Data Quality and Application Development
  • Data Meshes and the Challenges They Create for Data Quality Monitoring

Find Us on Medium

Here’s what we’re writing on Medium:

The Data Quality Gap (June 11, 2020)

4 Lessons for Data Scientists from the UK’s A-Levels Algorithm Debacle (August 18, 2020)

Data Culpa monitors data pipelines, warehouses, databases, APIs, and machine learning models for consistency and provides automatic alerts when values or schemas change in a way that could jeopardize results. With our highly scalable capabilities and instant training technology, we can provide historical alerts and trend analysis out of the box with no coding and minimal configuration. 

Copyright © 2022 Data Culpa, Inc. All rights reserved. Data Culpa and the Data Culpa logo are trademarks of Data Culpa, Inc. Patents pending. To report a bug to our bug bounty program, write to hello@dataculpa.com

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