16:30 – 17:00 Gathering
17:00 – 18:00 - Amazon Elastic MapReduce Deep Dive and Best Practices
18:00 – 19:00 - Amazon DynamoDB: Data Modeling and Scaling Best Practices
19:00 - 19:20 - IronSource - how IronSource leverages Lambda to keep separate, cross-account environments synchronized in real time.
19:20 - 19:40 - SundaySky - using DynamoDB to drive a real time bidding (RTB) platform for personalized video ads.
19:40 – 20:00 - Open Q&A (People can submit questions in the meetup including their expectations from the sessions).
Amazon Elastic MapReduce Deep Dive and Best Practices - Join this advanced technical session on Amazon Elastic MapReduce (EMR) for an introduction to Amazon EMR design patterns. Learn how to scale your cluster up or down dynamically and about ways you can fine-tune your cluster. We also share best practices to keep your Amazon EMR cluster cost efficient.
The session will be delivered by Rahul Pathak Principal product manager from AWS
Amazon DynamoDB: Data Modeling and Scaling Best Practices - Amazon DynamoDB is a fully managed, highly scalable distributed database service. In this technical talk, we disscuss how to use DynamoDB to build high-scale applications like social gaming, chat, and voting. We show you how to use building blocks such as secondary indexes, conditional writes, consistent reads, and batch operations to build the higher-level functionality such as multi-item atomic writes and join queries. We also discuss best practices such as index projections, item sharding, and parallel scan for maximum scalability.
The session will be delivered by Khawaja Shams Sr Mngr, Software Development, DBS NoSQL and In-Memory at AWS
Joseph Mermelstein, Chief Software Architect at SundaySky, will talk about using DynamoDB to drive a real time bidding (RTB) platform for personalized video ads.
Roman Labunsky, Infrastructure Software Development Team Leader at IronSource will described how IronSource leverages Lambda to keep separate, cross-account environments synchronized in real time.