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Book Overview & Buying
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Table Of Contents
The Definitive Guide to Microsoft Fabric
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Choosing between a data warehouse and a data lakehouse is not just a technical detail—it shapes how your data can be stored, governed, and analyzed. Make the wrong choice, and you may face performance issues, governance gaps, or costly redesigns.
This choice matters because it directly affects performance, governance, and scalability. Many organizations struggle with the trade-offs: a warehouse offers maturity and fine-grained control, while a lakehouse provides versatility and openness to different compute engines. The real challenge is knowing when to favor one, when to combine both, and how to secure and query your data consistently across them.
In this chapter, we will trace the historical foundations of online transactional processing (OLTP), online analytical processing (OLAP), and big data to understand why warehouses and lakehouses emerged, compare their models and capabilities, and discuss practical decision...