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Data & Analytics · Intermediate

Separation of Storage and Compute

An architecture in which data lives in independent storage and compute resources scale, start and stop separately.

Definition

Separating storage and compute lets many workloads query the same data with isolated compute, scale each independently and pay for compute only while it runs. Snowflake, BigQuery, Databricks and Fabric (OneLake) all use it.

Exam tip

Workload isolation (ETL and BI on separate compute over the same data) is the key benefit exams highlight.

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