This ebook provides a practical introduction to the data lakehouse architecture, explaining how it combines the flexibility of data lakes with the performance and governance of data warehouses. It outlines why traditional architectures struggle with scalability, cost, and support for AI workloads. Key topics include open data formats, unified governance, BI and machine learning on the same data, and reducing data duplication. The guide walks through real-world scenarios where lakehouses simplify analytics, accelerate AI initiatives, and lower total cost of ownership. Written for both technical and business audiences, it helps organizations understand how to modernize data platforms while maintaining trust, security, and performance.

Join for free to read