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Databricks SPEED HACK: Your Code is SLOW Until You Learn This! ⚡ FAST QUERIES!

🔥 Boost Your Databricks Queries with Temp Views & Caching 🔥
In this video, we dive deep into a lesser-discussed but incredibly powerful technique in Databricks: Temp Views and Caching. You'll learn how to use CREATE OR REPLACE TEMP VIEW and CACHE TABLE to dramatically speed up repetitive queries on large datasets. We demonstrate this with a practical example, show performance boosts, and share pro tips!

If you're preparing for Databricks certifications or want to optimize your Spark workflows — this one's for you.

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⏱️ Video Timeline
(Click to jump to specific sections)

00:00:00 – 🎬 Introduction to Caching & Temp Views

00:01:02 – 🔍 How Temp Views Work in Spark & Databricks

00:02:01 – ⚙️ Why & When to Use Caching in Queries

00:03:01 – 💻 Demo: Create Temp View, Cache It & Query Efficiently

00:04:00 – 🚀 Performance Benefits of Caching

00:05:05 – 📊 Measuring Speedups & Cost Optimization

00:06:02 – 🧠 📢 Outro & Final Thoughts


📚 Official Documentation

https://docs.databricks.com/aws/en/vi...

https://docs.databricks.com/aws/en/op...

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📲 Connect with Me!
🔗 LinkedIn: linkedin.com/in/sachinsaini-598b9b184

#databricks #pyspark #spark #apacheSpark #tempview #cachetable #databricksperformance #dataengineering #sql #sparkperformance #databrickssql #sparkcaching #databricksoptimization #deltaLake #deltaTables #bigdata #dataengineer #clouddataengineering #azuredataengineering #databricksworkflow #databrickstutorial #databrickscertification #databricksdemo #etl #caching #sparketl #sqloptimization #dataprocessing #techwithsachin #sparkquery #queryoptimization

If you're preparing for Databricks certifications or want to optimize your Spark workflows — this one's for you.

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