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On-Demand Webinar
How to Cut AWS EMR Compute Costs by 70%+ While Accelerating Data Pipelines
A practical framework for identifying Apache Spark™ inefficiencies, optimizing autoscaling, and achieving 3-4x better price-performance across your EMR workloads.
AWS EMR is a popular platform to run Spark ETL pipelines, yet most organizations dramatically overspend on it. Studies of production environments show that 30–70% of AWS EMR compute is wasted which translates to millions of dollars in hidden costs. Common culprits include inefficient shuffles, skewed joins, over-provisioned executors, and the slow autoscaler.
In this webinar, you will learn:
- Why AWS EMR pipelines are often far less efficient than most teams realize.
- How companies across industries have achieved 70%+ cost savings on EMR, reduced annual spend by hundreds of thousands of dollars, and delivered 10× faster performance.
- Proven strategies to analyze workloads, identify inefficiencies, and apply both DIY solutions like the free Cost Analyzer for Apache Spark and commercial solutions such as the Quanton engine to achieve 3-4x better price-performance.
If AWS EMR is a significant line item in your budget, this session will show you how to reclaim wasted spend and reinvest it in innovation instead of infrastructure.
Your Presenters:
