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Overview
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Learn how to transform unreliable dashboards into mature observability systems through this 21-minute conference talk from Conf42 Observability 2025. Discover the fundamental problems with data quality that plague modern organizations and explore systematic approaches to identifying and addressing data quality issues in real-world scenarios. Compare traditional quality assurance methods with modern observability practices to understand why conventional approaches fall short in today's data-driven environments. Examine practical implementation strategies for integrating observability principles into data quality assurance processes, including specific tools and techniques that enable effective data observability. Gain insights from real-world case studies and best practices that demonstrate successful transitions from broken dashboard systems to comprehensive observability maturity, and receive actionable guidance for improving your organization's data quality assurance processes.
Syllabus
00:00 Introduction: The Problem with Data Quality
00:35 Identifying Data Quality Issues
02:08 Real-World Data Quality Challenges
03:46 Traditional QA vs. Modern Observability
05:51 Implementing Observability in Data QA
11:14 Tools and Techniques for Data Observability
16:08 Best Practices and Lessons Learned
19:22 Call to Action: Improving Your Data QA
Taught by
Conf42