Building Reliable Data Pipelines – SRE Principles for Data Engineering

​Join us for an insightful session on Building Reliable Data Pipelines with SRE Principles, where you'll learn how to design scalable, fault-tolerant data workflows using Site Reliability Engineering (SRE) best practices.

​What You'll Learn:

​✅ Core Challenges in Data Pipeline Reliability – Understand common failures and bottlenecks in data workflows.
✅ SRE Principles for Data Pipelines – Learn how SLAs, SLOs, and SLIs can improve data reliability and performance.
✅ Incident Response & Reliability Best Practices – Discover strategies for detecting, diagnosing, and resolving data pipeline failures.
✅ Tools & Frameworks for Reliability – Get insights into the best tools and methodologies to build robust data pipelines.

​This session is perfect for data engineers, DevOps professionals, and SRE teams looking to enhance the resilience of their data infrastructure. Don't miss this opportunity to level up your data engineering skills with proven reliability practices!