Data observability: The missing piece in your data integration puzzle
3 min read - Historically, data engineers have often prioritized building data pipelines over comprehensive monitoring and alerting. Delivering projects on time and within budget often took precedence over long-term data health. Data engineers often missed subtle signs such as frequent, unexplained data spikes, gradual performance degradation or inconsistent data quality. These issues were seen as isolated incidents, not systemic ones. Better data observability unveils the bigger picture. It reveals hidden bottlenecks, optimizes resource allocation, identifies data lineage gaps and ultimately transforms firefighting into…