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A Deep Dive on Amazon Kinesis for Real-time Stream Processing

  • May 28, 2014 · 5:30 PM
  • This location is shown only to members

Amazon is holding a meet up at their headquarters and asked me to post this for members who might be interested.

Many data analytic workflows can benefit from a reduction in time to results. With powerful compute resources and virtually infinite storage solutions offered affordably via the cloud it is now possible to build systems capable of pulling in & processing real-time data streams. However, many of these workflows still require custom development and custom builds. Amazon has released Kinesis, a Managed Service to ingest, process and store endless real-time data streams and do so even at massive scale. The movement from batch processing to real-time streams has already begun for many applications. Ad-tech, Gaming, Mobile App, Web App and Internet of Things (connected device) customers as well as plain old IT infrastructure are already generating endless data streams and leveraging Kinesis to generate new intelligence and competitive advantage by processing those streams in near real-time. Adi Krishnan, AWS Senior Product Manager for Kinesis, will be in town from Seattle to host this Meetup to provide an overview of Kinesis, the problems it can help you to solve, the architecture of Kinesis and how it can be applied to common use cases. Integration with our Hadoop/EMR platform will be discussed as well as our latest support for Impala. Please join us for an open and lively discussion on next generation stream processing.

Doors open at 5:30pm for registration, pizza and beer. Talk begins promptly at 6pm.

Aditya Krishnan, AWS Sr. Product Manager – Kinesis

Adi is the Sr. Product Manager for Amazon Kinesis, a fully managed service for real-time processing of streaming data at massive scale. In this role Adi engages with AWS’ customers to make sure that they fully understand the capabilities of Kinesis and are able to rapidly ramp up their learning curve for the product. He is also fully engaged with the Kinesis engineering team to bring back customer requirements and feedback to inform the Kinesis roadmap and keep future releases in line with our customers’ true needs. Prior to AWS Adi held several Senior Product Manager roles at Microsoft where he worked with the Azure, Windows Server, Bing Core Search and HPC teams.

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