Accelerate Your Data & Analytics Projects with Amazon EMR and Athena
summary
Amazon EMR and Athena are presented as managed services to speed Data & Analytics projects by running open-source frameworks such as Spark and Trino. The session explains using EMR and Athena to accelerate data science adoption, enable real-time processing, prepare data for AI/ML, and deliver low-latency SQL queries, with a case study from Amadeus showing how EMR handles scale and addresses interoperability, performance, and security challenges.
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chapters (10)
- 0:00Introduction
- 1:28Modern data challenges
- 3:12Amazon EMR and Athena
- 5:40EMR Serverless
- 11:11EMR on EC2
- 14:20EMR on EKS
- 17:25Amadeus EMR experience
- 33:26Amazon Athena updates
- 40:30Security and governance
- 45:27Summary and resources
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