Building Big Data Applications with Serverless Architectures


Building Big Data Applications with Serverless Architectures


Building data processing applications is challenging and time-consuming, and often requires specialized expertise to deploy and operate. With serverless computing, you can perform real-time stream processing of multiple data types without needing to spin up servers or install software, allowing you to deploy big data applications quickly and more easily. Come learn how you can use AWS Lambda with Amazon Kinesis to analyze streaming data in real-time and then store the results in a managed NoSQL database such as Amazon DynamoDB. You’ll learn tips and tricks for doing in-line processing, data manipulation, and even distributed MapReduce on large data sets.

When: June 15 | 12:00 PM - 12:40 PM PT | 3:00 PM - 3:40 PM ET

Learning Objectives:
• Use cases and best practices for serverless big data applications
• Leverage AWS technologies such as AWS Lambda and Amazon Kinesis
• Learn to perform ETL, event processing, ad-hoc analysis, real-time processing, and MapReduce with serverless

Who Should Attend: Developers, Software Development Engineers, Architects, Data Analysts, Data Scientists, IT Decision Makers

Speakers: Allan MacInnis, Senior Solutions Architect, AWS

Register for the Webinar