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On-Demand Webinar
Automated Performance Tuning for Apache Hudi™ on Amazon EMR
Accelerate ROI, Reduce Costs, and Maximize Performance with Table Optimizer
If you’re using Amazon EMR, Apache Hudi™ is an ideal data lake platform to power your data lakehouse. With Spark, Hive, or Presto, Hudi comes pre-installed on EMR clusters, enabling seamless integration for building efficient, scalable, highly performant data pipelines.
But are you getting the maximum value from your Hudi data pipelines?
Onehouse, founded by Hudi creator Vinoth Chandar, has introduced cutting-edge solutions, LakeView and Table Optimizer, that make it easy - and even automated - to right-size your infrastructure and optimize your Hudi tables. Join this webinar to learn how you can cut costs and boost performance for your Hudi deployment on EMR without rewriting a single line of code or any other changes to your data pipelines. With Table Optimizer, organizations using Hudi are:
- Accelerating query performance 2-10X while accelerating writes more than 50 percent
- Reducing cloud infrastructure costs by 20-80%
- Cutting write costs by more than 80%
Your Presenters:
