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Become an AI & ML Engineer with Cal Poly EPaCE — IBM-Certified Training
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Explore the concept of Data Observability in this 31-minute conference talk by Shane Murray from Monte Carlo. Discover how this game-changing solution addresses the costly issue of broken data in advanced data teams. Learn to eliminate data downtime and ensure data trust at scale through end-to-end data observability, a crucial component of modern DataOps workflows. Gain tactical insights for implementing a robust data quality strategy and understand its importance in revolutionizing your data ecosystem. Delve into key topics such as the challenges of data downtime, the fundamentals of data observability, and methods for scaling trust and reliability in your data infrastructure.
Syllabus
- Introductions
- Agenda Review
- The Challenge: data downtime
- What is data observability?
- Scaling trust & reliability
Taught by
Open Data Science