Mapping Data Quality Concerns to Data Lake Zones
In this session, we’ll expand on our answer by describing the purposes of the different zones, and mapping the categories of data quality relevant for each by assessing its qualitative requirements. We’ll describe Data Enrichment: the practice of making observed anomalies available as inputs to downstream data pipelines, and provide recommendations for when to merely alert, when to quarantine data, when to halt pipelines, and when to apply automated corrective actions.
- Data Security and Governance
- Moscone South | Upper Mezzanine | 152
- 35 min