New Delhi:
Date: Monday, November 14, 2016
Venue: The Grand New Delhi, Vasant Kunj

Date: Wednesday, November 16, 2016
Venue: The Westin Pune, Koregaon Park

Date: Thursday, November 17, 2016
Venue: Bengaluru Marriott Hotel, Whitefield

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Businesses are using Real Time Analytics to gain competitive edge over each other. Additionally, Real Time analytics are non-optional in the areas of IoT monitoring, Fraud detection and prevention etc. Real Time Analytics has been a tough area within technology and AWS is making it easier for developers to adopt it.

In this track, you will learn how AWS Managed Elastic Search Service and Kinesis Analytics (stream processing) service make Real Time Analytics very accessible to developers.”

Level: Getting Started | Technical Session

Time: 10:45am - 11:15pm

This session is recommended for anyone interested in understanding how to use AWS big data services to develop real-time analytics applications. We'll explain how services like Amazon Kinesis, EMR and Redshift can be used for data ingestion, processing and storage to enable real-time insights and analysis into customer, operational and machine generated data and log files.

Level: Getting Started | Technical Session

Time: 2:15am - 3:00pm

Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch in the AWS Cloud. This session discusses features and its integration with other services and how it can be used for more than just search, to do real time analytics. The presenter will show you how to build dashboards that update in real time.

Level: Getting Started | Technical Session

Time: 3:00am - 3:45pm

AWS launched Kinesis Analytics to allow customers to do streaming analytics without any administration, with the most commonly known language ‘SQL’. Kinesis Analytics, while very simple to use, addresses many complex scenarios involving windowed analytics, stream joins, anamoly detection etc. This session introduces audience to this service.

Level: Deep Dive | Technical Session

Time: 4:15pm - 5:00pm

AWS Aurora is an extremely fast MySQL compliant managed database. It delivers up to five times more throughput with same resources compared to MySQL. This session discusses the cloud-native architecture of Aurora that powers this high performance and how Aurora makes scaling easy and provider higher availability.

AWS also provides DynamoDB as a managed no-SQL service. It provides a low latency performance and push-button scaling. DynamoDB powers many large scale no-SQL use cases including ones at This session discusses key concepts that you need to know while working with DynamoDB.