Data Debt: A Practical Guide to Smarter Analytics
Data debt is the accumulation of data-related problems over time, such as incomplete or incorrect data, outdated data structures, and data silos.
Data debt is the accumulation of data-related problems over time, such as incomplete or incorrect data, outdated data structures, and data silos.
Data Catalog, Data Access Management, Privacy Compliance, Lineage/Impact Analysis, Data Literacy, and Quality needs.
Data Lake and a Data Warehouse
Buzz surrounding artificial intelligence (AI) is about how it can augment human intelligence and free workers to work smarter and concentrate on...