Explore insights from BARC’s new report and learn how to build an enterprise-grade data observability program that supports AI, compliance, and operational excellence. Enterprise data teams are under pressure to deliver high-quality, trusted data for AI, regulatory compliance, and real-time decision-making. Yet most struggle with broken pipelines, unreliable insights, and limited visibility into data health. […]| The rising imperative for data observability: how to build trust in your data...
Managing 4,000+ data pipelines demanded a smarter approach to stability. We built a comprehensive automation solution that enhances Hugo's monitoring capabilities, streamlines issue diagnosis, and significantly reduces on-call workload. Explore our architecture, implementation, and the impact of automated healing features.| Grab Tech
A data quality crisis in data engineering is more than a mere technical hiccup; it often signals deeper systemic issues within the team and organizational p ...| datakitchen.io