Long gone are the days where big data was confined to batch processing. From video streaming to real-time recommendation engines, preventive maintenance to fraud detection applications, analyzing real-time streams of data is becoming increasingly important to remain competitive. Siva Raghupathy and Manjeet Chayel guide attendees through some of the proven architectures for processing streaming data using a combination of cloud and open source tools. Watch a live demo and learn how you can easily scale your applications with AWS.
This session is sponsored by Amazon Web Services.
Siva Raghupathy leads the Americas Big Data Solutions Architecture team at AWS, where he guides developers and architects in building successful big data solutions on AWS. Previously, as a principal technical program manager for AWS Database Service, Siva gathered emerging NoSQL requirements and wrote the first version of DynamoDB product specification. Later, as a development manager for Amazon Relational Database Services (RDS), he drove several enhancements. Prior to AWS, Siva spent several years at Microsoft.
Manjeet Chayel is a specialist SA for AWS working on big data technology solutions. Manjeet focuses on Amazon EMR and helps customers solve their big data problems using the right techniques and tools for the job.
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