Amazon DynamoDB: A seamlessly scalable NoSQL service

Swaminathan Sivasubramanian (Amazon Web Services)
Sponsored Session, Ballroom G

Reliability and scalability of your application is dependent on how its application state is managed. To run applications at massive scale requires one to operate datastores that can scale to operate seamlessly across thousands of servers and can deal with various failure modes such as server failures, datacenter failures and network partitions. The goal of Amazon DynamoDB is to eliminate this complexity and operational overhead for our customers by offering a seamlessly scalable database service. In this talk, we will talk about how developers can build applications on DynamoDB without having to deal with the complexity of operating a large scale database.

This session is sponsored by Amazon

Swaminathan Sivasubramanian

Amazon Web Services

Swami Sivasubramanian works as a GM and Architect in Amazon Web Services where he builds large scale cloud computing platforms and also manages different groups within AWS Database services. Swami has built several large scale systems in the past. Some of the well known ones include Amazon Dynamo, Amazon CloudFront and Amazon RDS (including the replication engine for RDS that does synchronous replication with automated failover). He also wrote a major part of the Amazon’s distributed lock service that is used as a foundational building block for various Amazon service infrastructure.

Swami obtained his Ph.D. from Vrije Universiteit, Amsterdam from the Computer Systems Group headed by Andrew S. Tanenbaum and Maarten van Steen. Swami has authored more than 40 refereed journals and conference papers. He also holds more than 10 patents and has more than 60 pending patent applications. He also serves in program committees of different ACM/USENIX/IEEE conferences, and also as guest editors for different IEEE/ACM magazines.


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  • Pentaho
  • Rackspace Hosting
  • Teradata Aster
  • VMware
  • IBM
  • NetApp
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  • Esri
  • Facebook
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  • MapR Technologies
  • Pervasive
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  • Revolution Analytics
  • Scaleout Software
  • Skytree, Inc.
  • Splunk
  • Tableau Software
  • Talend

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