AWS April 2016 Webinar Series – Getting Started with Real-Time Data Analytics on AWS

It is becoming increasingly important to analyze real time streaming data. It allows organizations to remain competitive by uncovering relevant, actionable insights. AWS makes it easy to capture, store, and analyze real-time streaming data.

In this webinar, we will guide you through some of the proven architectures for processing streaming data, using a combination of tools including Amazon Kinesis Streams, AWS Lambda, and Spark Streaming on Amazon Elastic MapReduce (EMR). We will then talk about common use cases and best practices for real-time data analysis on AWS.

Learning Objectives:
Understand how you can analyze real-time data streams using Amazon Kinesis, AWS Lambda, and Spark running on Amazon EMR
Learn use cases and best practices for streaming data applications on AWS

About The Author
- Launched in 2006, Amazon Web Services offers a robust, fully featured technology infrastructure platform in the cloud comprised of a broad set of compute, storage, database, analytics, application, and deployment services from data center locations in the U.S., Australia, Brazil, China, Germany, Ireland, Japan, and Singapore. More than a million customers, including fast-growing startups, large enterprises, and government agencies across 190 countries, rely on AWS services to innovate quickly, lower IT costs and scale applications globally. To learn more about AWS, visit

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