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BigEye

data_quality data_observability monitoring

2

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6 peak/qtr
2020-Q1 2026-Q1

Activities

2 activities · Newest first

Incident Management for Data People | Bigeye

ABOUT THE TALK: Incident management is a key practice used by DevOps and SRE teams to keep software reliable—but it's still uncommon among data teams! Datadog says incident management can "streamline their response procedures, reducing mean time to repair (MTTR) and minimizing any impact on end users."

In this talk, Kyle Kirwan, co-founder of data observability company Bigeye, will explain the basics of incident management and how data teams can use it to reduce disruptions to analytics and machine learning applications.

ABOUT THE SPEAKER: Kyle Kirwan is the co-founder and CEO of Bigeye. He began his career as a data scientist, went on to lead the development of Uber's internal data catalog/lineage/quality tools, and now helps data teams use data observability to improve pipeline reliability and data quality.

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Move Fast and (Don’t) Break Things: Testing dbt Models with Bigeye

Growing demand for data puts Analytics Engineers under pressure to move quickly, without introducing bugs to their models. If you find yourself pushing dbt’s testing framework to the limit, or waiting for careful code reviews before deploying to production, this talk is for you. Join Egor Gryaznov, CTO of Bigeye and former Staff Data Engineer at Uber, to learn how to take your workflow to the next level with blue-green deployments. This talk will cover: -CI/CD pipeline best practices for Analytics Engineers -Automatically validating pipeline changes with blue-green deployments -Tracking data changes through merge requests for visibility and reliability More details coming soon!

Check the slides here: https://docs.google.com/presentation/d/1zkzKkhjm1WshCMSOksfi24BEGK62wrLOGKKEg0I0Yhg/edit#slide=id.g11c331d5e28_0_6192

Coalesce 2023 is coming! Register for free at https://coalesce.getdbt.com/.