Giovanni Matteo Fumarola

Apache Spark 4.1 is the latest engine upgrade, and AWS is the best place to run it. Learn best practices for building high-performing Spark 4.1 applications using Amazon EMR.

While the industry has converged on Apache Iceberg as the standard for the open lakehouse, the engineering reality of building a high-scale Iceberg offering is fraught with complex trade-offs. This panel brings together engineering leaders to discuss the technical hurdles of supporting a truly open ecosystem.

Unlock the full potential of your ETL workflows by mastering Apache Spark optimization techniques in AWS Glue, Amazon EMR, and Amazon SageMaker. This session demonstrates advanced strategies for accelerating data processing, including Spark configuration tuning, partition management, and memory optimization.

Transform your data landscape by building large-scale transactional data lakes using open table formats (OTFs) with AWS analytics services. The rise of generative AI and ML demands robust and scalable data infrastructure, and OTFs offer a cutting-edge solution for modern data architectures.

Explore open source tools that make it easier to innovate with your data on Amazon S3. Through whiteboarding examples, this chalk talk offers insights into integrating open source implementations like Apache Hadoop S3A and Apache Iceberg S3FileIO with applications and data pipelines.