AWS at Strata+Hadoop 2016: Building a Scalable Architecture on AWS to Process Streaming Data

Gone are the days when big data was confined to batch processing.  To remain competitive, companies must be able to analyze real-time data streams in areas such as video streaming, real-time recommendation engines, preventive maintenance, and fraud detection applications. Last month, Siva Raghupathy and Manjeet Chayel presented “Building a scalable architecture for processing streaming data on AWS” at Hadoop+Strata 2016 in San Jose.

They walked users through several proven architectures for processing streaming data using a combination of fully managed AWS services and open source tools. They concluded with a demo showing two patterns for processing real-time data on AWS. Click the link below to access their presentation:

If you missed it, take a few minutes to review the slides and the sample code.

Slides: Building a scalable architecture for processing streaming data on AWS

Demo: Access the code in the Github repo

Want to learn more about Big Data or Streaming Data? Check out our Big Data and Streaming data educational pages.

If you have questions or suggestions, please leave a comment below.

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