Best Practices

Data and Schema

• Keep surah_id, ayah_number, and word_position as integers.
• Add indexes for surah_id + ayah_number in verse-level tables.
• Keep translations and tafsir in separate tables to support multiple sources and languages.
• Avoid duplicating large text blobs when ID-based references are enough.

Performance

• Cache frequently requested verse and tafsir payloads.
• Use SQLite/PostgreSQL for large datasets instead of in-memory-only workflows.
• Stream large JSON files instead of loading them entirely.
• Benchmark expensive joins on morphology/topic workloads.

Data Quality and Validation

• Validate required keys (surah_id, ayah_number, word_position) early.
• Keep a small verification script to test joins across selected resource categories.
• Confirm UTF-8 handling in your runtime, storage, and API outputs.
• Track dataset source/version in your metadata for traceability.

Documentation Quality

• Keep setup commands copy/paste ready.
• Put new-user steps before advanced implementation details.
• Include likely failure cases and exact remediation commands.
• Keep GitHub markdown files as canonical content for website docs.

Change Management

• Keep pull requests focused by concern (docs, integrations, feature).
• Add concise release notes when docs change user-facing resource workflows.