Title

AWS re:Invent 2022 - How Disney processes clickstream data on Amazon EMR Serverless (ANT325)

Summary

Amazon EMR Serverless is a serverless deployment option for EMR, designed for simplicity, speed, cost-effectiveness, and comprehensive integration with AWS services.
EMR Serverless automatically provisions, configures, and scales based on job submissions, and is compatible with Spark and Hive frameworks.
Common usage patterns include data pipelines, time-sensitive applications, and secure shared applications.
Pre-initialized capacity provides a warm pool of compute resources for faster job start times.
EMR Serverless integrates with AWS services like Apache Airflow, AWS Step Functions, and supports IAM roles for job authorization.
New features since GA include CloudWatch metrics for monitoring, debugging with engine-specific metrics, and support for Visual Studio Code extension for local development.
EMR Serverless supports custom connectors like Amazon Redshift and DynamoDB, and transactional data lakes with Hudi, Iceberg, and Delta Lake.
Cost optimization strategies include paying only for resources consumed, fine-grained scaling, application idle timeouts, application and account level limits, and Graviton2-based instances.
A cost estimator tool is available to compare costs with EMR on EC2.
Disney Streaming's journey to EMR Serverless involved migrating petabyte-scale data processing pipelines, resulting in increased efficiency and cost savings.

EMR Serverless's serverless nature eliminates the need for cluster management, which aligns with the trend towards more managed services in cloud computing.
The integration with familiar tools and services like Apache Airflow, AWS Step Functions, and IAM roles suggests a focus on ease of use and security.
The introduction of pre-initialized capacity indicates AWS's commitment to performance optimization, especially for time-sensitive workloads.
The support for custom connectors and transactional data lakes demonstrates AWS's strategy to provide a comprehensive and versatile data processing platform.
The emphasis on cost optimization reflects a common concern among AWS customers and the broader cloud industry, where cost management is a critical aspect of cloud operations.
Disney Streaming's experience with EMR Serverless highlights the practical benefits of serverless architectures in real-world applications, showcasing significant improvements in job efficiency and cost reduction.
The detailed explanation of Disney Streaming's architecture and their use of EMR Serverless provides valuable insights into how large-scale data processing can be managed effectively in a complex, multi-account AWS environment.