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A guide to Understanding
Data Observability

By reading our ebook, you will learn about:

  • What is Data Observability
  • Common data issues it can solve
  • What are the business outcomes
  • The method DODD and its advantages
A Guide to Understanding Dat Observability

Download the eBook

Why Data Observability?

Data Observability automates data monitoring along the pipelines to facilitate data issues troubleshooting and prevention, so data teams can improve their time to value and scale their productivity.

Data Observability also increases communication across teams by providing evidence-based information on data management ecosystems, while improving trust when it comes to put applications, models, and reports in production.

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Increase
scalability

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Speed time
to value

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Improve
collaboration

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Build
confidence

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About Kensu

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Our low latency data observability solution alerts about data issues, prevents their propagation, and highlights which applications are impacted.

Our Data Observability Driven Development  (DODD) method allows data teams and data usage to scale efficiently. DODD is done from within the applications to enable data projects with synchronized observability, continuous validation and contextual observability.