Broken data is costly, time-consuming, and nowadays, an all-too-common reality for even the most advanced data teams. In this talk, I’ll introduce this problem, called “data downtime” — periods of time when data is partial, erroneous, missing or otherwise inaccurate — and discuss how to eliminate it in your data ecosystem with end-to-end data observability. Drawing corollaries to application observability in software engineering, data observability is a critical component of the modern DataOps workflow and the key to ensuring data trust at scale. I’ll share why data observability matters when it comes to building a better data quality strategy and highlight tactics you can use to address it today.
talk-data.com
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Speaker
Barr Moses
1
talks
CEO & Co-Founder
Monte Carlo
Barr Moses is the CEO and Co-founder of Monte Carlo, the leader in the data observability category. The company is backed by top Silicon Valley investors including Accel, GGV, Redpoint, ICONIQ Growth, Salesforce Ventures, IVP, and more. Monte Carlo works with major customers such as Cisco, American Airlines, and NASDAQ to drive positive business outcomes through reliable data and AI. Moses is recognized for building and leading a data observability platform at the forefront of data reliability and AI-enabled decision-making.
Bio from: dbt Coalesce 2023
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