This ebook provides a comprehensive overview of modern data management practices built on lakehouse architecture. It explains the full data lifecycle, including ingestion, transformation, governance, sharing, analytics, and AI enablement. The guide highlights challenges caused by fragmented data lakes and warehouses and shows how unified governance and open formats simplify operations. Key topics include data quality, lineage, access controls, cost management, and AI-driven optimizations. Designed for technical and business audiences, the ebook demonstrates how strong data management foundations enable scalable analytics, trustworthy AI, and faster decision-making across the enterprise.

Join for free to read