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Unlock the full potential of your data ecosystem with this practical guide to AI-powered data lineage. You’ll learn how machine learning and natural language processing uncover hidden metadata patterns, while generative AI drafts and refines lineage hypotheses at scale. Discover how autonomous agents monitor pipelines, detect anomalies and propose real-time remediations, all within a governed, auditable framework. Packed with real-world examples and step-by-step architectures, this book shows you how to integrate AI into existing catalogs and workflows, embed lineage into change management and data-quality processes, and satisfy auditor demands with transparent trails. Whether you’re a data engineer, steward or executive sponsor, you’ll gain the tools to transform lineage from a manual chore into a competitive advantage.
Unlock the full potential of your data ecosystem with this practical guide to AI-powered data lineage. You’ll learn how machine learning and natural language processing uncover hidden metadata patterns, while generative AI drafts and refines lineage hypotheses at scale. Discover how autonomous agents monitor pipelines, detect anomalies and propose real-time remediations, all within a governed, auditable framework. Packed with real-world examples and step-by-step architectures, this book shows you how to integrate AI into existing catalogs and workflows, embed lineage into change management and data-quality processes, and satisfy auditor demands with transparent trails. Whether you’re a data engineer, steward or executive sponsor, you’ll gain the tools to transform lineage from a manual chore into a competitive advantage.