Understanding data quality and data observability
Data quality and data observability are two vital and interconnected facets of robust data management strategies. Ensuring data quality involves various techniques and methodologies to enhance the accuracy, consistency, completeness, and relevance of data. On the other hand, data observability involves providing visibility into the data pipeline, allowing organizations to trace data’s journey, detect anomalies, and ensure its reliability. Together, these elements help enterprises build a strong data foundation, leading to more reliable insights and informed decision-making.
Introduction to data quality and observability
Data quality and observability form the backbone of reliable and insightful data analytics. When we speak of data quality, we are referring to the degree of excellence exhibited in the data content using various dimensions, such as accuracy, consistency, completeness, and reliability. Data observability...
