Accelerating Real-Time Analytics with Cosmos DB and GPU-Enhanced Serverless Apache Spark @AzureCosmosDB
Accelerating Real-Time Analytics with Cosmos DB and GPU-Enhanced Serverless Apache Spark  @AzureCosmosDB
Uploaded April 2025 | Updated September 2026, 2 weeks ago
Title: Accelerating Real-Time Analytics with Cosmos DB and GPU-Enhanced Serverless Apache Spark

Abstract: Accelerating Real-Time Analytics with Cosmos DB and GPU-Enhanced Serverless Apache Spark

This session will show you how to create an end-to-end pipeline that leverages Azure Cosmos DB, Apache Spark, and serverless GPU acceleration to redefine real-time analytics. Learn how to ingest streaming data into Azure Cosmos DB and process it at scale using Apache Spark deployed on Azure Container Apps with GPU support. The focus of the presentation is a demo that highlights how GPU acceleration can dramatically reduce processing times and enable sophisticated machine learning workflows.

Speaker: Brian Benz
Bio: Brian is a Java Champion and Cloud Advocate at Microsoft, helping developers get the most out of Azure. Before joining Microsoft, he was a program manager, evangelist, solution architect, consultant, developer, and author at IBM, Deloitte, and other companies. Find him on Twitter @bbenz. A current list of Brian's talks can be found at https://aka.ms/brianspeaking

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Azure Cosmos DB Conf is a free virtual developer event co-organized by Microsoft and the Azure Cosmos DB community. This is our fifth Azure Cosmos DB Conf. Sessions are a combination of Microsoft and community delivered. Come and learn more about Azure Cosmos DB. See what others in the community are building.

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Accelerating Real-Time Analytics with Cosmos DB and GPU-Enhanced Serverless Apache Spark

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