Add tuning guide for Zarr datasets

[LeoLee-Xiaohu]

This pull request adds a comprehensive new guide for tuning Zarr datasets and updates the documentation to reference it. The main focus is to help users efficiently configure and optimize Zarr datasets for processing, with step-by-step instructions and troubleshooting advice. The changes improve the discoverability and usability of Zarr tuning information in the documentation.

Documentation Enhancements:

• Added a new how-to guide, tune-zarr.rst, that provides detailed steps for configuring and tuning Zarr datasets, including chunk and batch size selection, memory considerations, scale-out behavior, and troubleshooting tips.
• Updated the documentation index (index.rst) to include the new "Tune a Zarr dataset for efficient processing" entry in both the navigation list and the feature summary. [1] [2]

[Copilot]

🟢 Approval recommended

The changes are documentation-only and coherent; the only noted issue is a minor unit-consistency tweak.

Pull request overview

Adds a new how-to guide to help users tune Zarr dataset configurations (chunking, batching, memory considerations, and scale-out behavior), and wires it into the documentation navigation so it’s discoverable alongside other operational guides.

Changes:

• Added a new how-to guide: “Tune a Zarr dataset” (docs/how-to/tune-zarr.rst).
• Updated the how-to index to include the new guide in the toctree and feature summary (docs/how-to/index.rst).

File summaries

File	Description
docs/how-to/tune-zarr.rst	New step-by-step Zarr tuning guide covering chunk sizing, batch sizing, memory ceilings, and troubleshooting.
docs/how-to/index.rst	Adds the new tuning guide to the how-to navigation and summary list for discoverability.

Review details

• Files reviewed: 2/2 changed files
• Comments generated: 1
• Review effort level: Lite

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