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Build efficient, cross-Regional, I/O-intensive workloads with Dask on AWS

AWS Big Data

Amazon’s Open Data Sponsorship Program allows organizations to host free of charge on AWS. These datasets are distributed across the world and hosted for public use. Data scientists have access to the Jupyter notebook hosted on SageMaker. The notebook is able to connect and run workloads on the Dask scheduler.

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How Zurich Insurance Group built a log management solution on AWS

AWS Big Data

Zurich has done testing with Amazon SageMaker and has plans to add this capability in the near future. She holds a PhD in Informatics and has more than 15 years of industry experience in tech. Historic data analysis – Data stored in Amazon S3 can be queried to satisfy one-time audit or analysis tasks.

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How SafeGraph built a reliable, efficient, and user-friendly Apache Spark platform with Amazon EMR on Amazon EKS

AWS Big Data

Reliable computing infrastructure – The reliability of the computing infrastructure hosting Spark applications is the foundation of the whole Spark platform. This resulted in engineers choosing various versions of distro, some of which hadn’t been tested with our internal tools. These versions are all exposed to users via their UI.

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Top500: The Supercomputers Advancing Cyber Security, Renewable Energy, and Black Hole Research

CIO Business Intelligence

The Grace system handles nearly 20 times the processing of its predecessor and supports more than 2,600 researchers in groundbreaking studies on drug design, materials science, geosciences, fluid dynamics, biomedical applications, biophysics, genetics, quantum computing, population informatics, and autonomous vehicles. HPCG [TFlop/s].