Unlocking Faster and Efficient Data Processing with Serverless

Uma Ramadoss
Sr. Solutions Architect, Integration Services at AWS

Adam Wagner
Principal Serverless Solutions Architect at AWS

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Data continues to be key to most businesses, but the way that data is ingested and processed is changing. Processing data at large scale brings challenges such as distribution of work, concurrency, error handling etc. Serverless data processing with Lambda and Step Functions offers new ways to process data more quickly and efficiently without having to learn a big data processing framework. In this session we will introduce large scale data processing use cases, deep dive into the capabilities, and explore techniques to process data closer to real time using events.
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Designing Data Governance from the Ground Up