Best practices for writing efficient SQL queries in Databricks
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2 weeks ago
Are your SQL queries running slow or consuming excessive resources? As data grows in size and complexity, writing optimized SQL queries becomes more crucial than ever. Knowing the right techniques can make all the difference.
In my latest blog, I explore best practices for writing efficient SQL queries, including:
✅ Caching frequently accessed data
✅ Minimizing data scans with precise filtering
✅ Leveraging Liquid Clustering to handle skewed data dynamically
✅ Optimizing joins for reduced shuffle costs
✅ Efficient aggregation techniques to save memory
Each tip is paired with actionable SQL code examples, ensuring you can apply them directly to your projects. 💡
Let’s make data processing faster, smarter, and more cost-effective! 🚀
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