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Synapse Analytics Features and Use Cases?

Cloud/Toolshard0.5 min readPremium
Frequency
Low
Asked at 1 company
Category
179
questions in Cloud/Tools
Difficulty Split
104E|27M|48H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Deloitte
Key Concepts Tested
lakehousepartitionsparksql
Expert AnswerPremium
109 wordsInterview-ready
**Why Synapse**: Unified analytics—data lake (ADLS Gen2), SQL, Spark, and orchestration in one service. Reduces integration complexity. **Features**: Dedicated SQL pool (MPP, previous SQL DW)—for heavy analytical workloads, predictable performance. Serverless SQL pool—pay-per-query on ADLS, no infra to manage. Spark pools—for data engineering, ML. Pipelines—ADF-based orchestration....
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