Lessons learned and best practices in data science and DevOps.

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  GCP DataFlow – Advanced Topics: Part II

  Using Testing Mocking framework for dataflow tests: In ZoomInfo, we analyze and ingest big quantities of data through different pipelines and with ...

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  • Application

  Game Day Testing

  1. Background  High availability is a commitment...

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  • Data Science

  Streamlining Data Science: Navigating Experimentation Challenges with Tracking Tools

  Experimentation is a key component of the data science workflow, encompassing everything from m...

• • Application

  Deployment Strategies in K8s using Argo rollout (and how to benefit from it)

  Overview In the world of so...

• • DevEx (Developer Experience)

  The Secret Sauce for Making Your Developers Happier

  Welcome into the world of engineering productivity, back in the day, our rapidly growing compan...

• • Application

  UNIT TESTING – IS IT REALLY HELPFUL?

  Note: This article focuses on unit testing in Java, but the idea and concepts apply to all the ...

• • Application

  Importance and benefits of leading Scrum meetings for developers

  As a developer, the phrase “Scrum process” may make your eyes roll and your brain partly switch...

• • Uncategorized

  There’s no I in Closer

  The Language of Top Performing Sales Reps Top per...

• • Application

  Self-documenting Code

  Self-documenting Code is a software buzzword that can equally spark eye-rolls and intense hallw...

• • Data Science

  How does Chorus AI punctuate?

  Introduction Speech recognition allows us to transfor...

• • Uncategorized

  Screen share content detection

  Classifying Screen-Shares in Video Conference Meetings