Understand modern data lake and lakehouse architectures on Azure.
This deck is for anyone working on architecture related to Microsoft Azure, from beginner to intermediate.
You will work on points such as: What is the primary business value of using a cloud data lake on Azur… · In Azure, which key capability clearly distinguishes a data warehouse… · What is the defining added capability of a lakehouse compared with a….
1What is the primary business value of using a cloud data lake on Azure?
Answer: It centralizes diverse raw data at low cost for flexible future analytics.
2In Azure, which key capability clearly distinguishes a data warehouse from a data lake?
Answer: It enforces a predefined schema optimized for structured analytics queries.
3What is the defining added capability of a lakehouse compared with a pure data lake on Azure?
Answer: It combines open lake storage with warehouse-like governed tables and ACID transactions.
4What architectural benefit comes from separating storage and compute in Azure data platforms?
Answer: It allows scaling processing independently from data storage capacity.
5Which characteristic best describes schema-on-read in Azure analytics?
Answer: The data structure is interpreted only when it is queried or processed.
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