Data Engineering Zero to Hero: Spark Optimization - Broadcast, Skew, Serialization | Part 11
Автор: Datamarcos_official
Загружено: 2024-11-25
Просмотров: 251
Welcome to Part 11 of the Data Engineering Zero to Hero series! This session focuses on Spark Optimization techniques that enhance the efficiency and performance of your big data applications.
📌 What You'll Learn:
Broadcast Variables: Optimize data sharing across nodes to reduce communication overhead.
Skew Handling: Address data skew issues for better load balancing and faster job execution.
Serialization in Spark: Learn how serialization impacts performance and how to configure it effectively.
Real-World Examples: Practical demonstrations to showcase these optimizations in action.
📚 Who Should Watch:
This video is tailored for data engineers, Spark developers, and analysts aiming to improve the performance of their Spark applications and workflows.
🎥 Watch now and take your Spark optimization skills to the next level! 🚀
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