Data Engineering Series | Part 16 | AWS Glue Performance Tuning & Cost Optimization | Datavalley.ai

Описание: Welcome to Part 15 of the Data Engineering Series 🚀! In this session, we dive into AWS Glue Performance Tuning — covering optimization strategies, cost-saving techniques, and real-world best practices for running Glue jobs efficiently.

🔹 What You’ll Learn in This Video

How to balance cost vs performance for AWS Glue jobs

Proven strategies to optimize Glue performance with large datasets

How AWS Glue leverages Apache Spark for distributed data processing

Cost optimization techniques to reduce Glue job expenses

Best practices for scalable, high-performance ETL pipelines

🔥 Why Watch This?
Whether you’re preparing for Data Engineering interviews, working on real-world ETL projects, or looking to cut costs while boosting efficiency in AWS Glue, this video will give you the insights you need. With performance tuning tips and cost optimization strategies, you’ll be able to design smarter and more efficient serverless data pipelines on AWS.

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