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Caching Strategies - Performance Optimization | Data Engineer Interview Prep | Repovive

Repovive.

Data Engineer Interview Prep16 sections · 140 units8h total

Open in Course

Caching Strategies

Avoid repeated work

Caching stores results to avoid recomputation:

Query result caching: Snowflake and BigQuery cache recent query results. Identical queries return instantly.

Materialized views: Pre-computed aggregations. Database auto-refreshes them.

CREATE MATERIALIZED VIEW daily_sales AS
SELECT date, SUM(amount) as total
FROM orders
GROUP BY date;

Application-level caching: Cache dashboard query results in Redis. Reduce warehouse load.

Trade-offs:

Freshness: Cached data may be stale
Storage: Caches consume space
Invalidation: When to refresh?