Dealing with data and databases is laden with a multitude of challenges, often characterized by the questions, “What happened to my data?” and “Why is this data all wrong?” Whether data is stale or unreliable, the solution lies within the operationalization of data observability—the data monitoring method that understands the health of data at each stage in the pipeline.
Glen Willis, solutions architect at Monte Carlo, joined DBTA’s webinar, Operationalizing Data Observability: Best Practices and Critical Strategies, to explore how data observability can be implemented—with best practices, strategies, and tools—to keep data fresh, reliable, and efficient.
