What is the benefit of storing different layers of your lakehouse in separate workspaces?

• A. It can enhance security, manage capacity use, and optimize cost-effectiveness.
• B. It makes it easier to share data with colleagues.
• C. There's no benefit of storing different layers of your lakehouse in separate workspaces.
• D. It reduces data redundancy.

Answer: (A)

Separating different layers of your lakehouse into separate workspaces lets you control access, manage resource usage, and optimize costs. By isolating layers, you can grant permissions narrowly to sensitive data and prevent unnecessary access, boosting security. It also makes capacity management clearer because compute, storage, and quotas can be allocated per workspace, so heavy workloads on one layer don’t derail others, leading to more predictable performance. Finally, cost-effectiveness comes from being able to track and constrain spending per workspace, apply appropriate storage tiers, and avoid cross-layer budget spillover.

While sharing data can be easier to arrange when needed, separation is not primarily about easier sharing. And storing layers separately does not inherently reduce data redundancy; duplication is more about data design and workflows than workspace boundaries.