AWS re:Invent 2017: Building High-Throughput Serverless Data Processing Pipelines (SRV304) – #AWS

Have a lot of real-time data piling up? Need to analyze it, transform it, and store it somewhere else real quick? What if there were an easier way to perform streaming data processing, with less setup, instant scaling, and no servers to provision and manage? With serverless computing, you can build applications to meet your real-time needs for everything from IoT data to operational logs without needing to spin up servers or install software. Come learn how to leverage AWS Lambda with Amazon Kinesis, Kinesis Firehose, and Kinesis Analytics to architect highly scalable, high throughput pipelines that can cover all your real-time processing needs. We will cover different example architectures that handle use cases like in-line process or data manipulation, as well as discuss the advantages of using an AWS managed stream.

via Amazon Web Services

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- Launched in 2006, Amazon Web Services offers a robust, fully featured technology infrastructure platform in the cloud comprised of a broad set of compute, storage, database, analytics, application, and deployment services from data center locations in the U.S., Australia, Brazil, China, Germany, Ireland, Japan, and Singapore. More than a million customers, including fast-growing startups, large enterprises, and government agencies across 190 countries, rely on AWS services to innovate quickly, lower IT costs and scale applications globally. To learn more about AWS, visit http://aws.amazon.com.

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