Building real-time applications using Apache Flink

Build real-time applications using Apache Flink with Apache Kafka and Amazon Kinesis Data Streams. Apache Flink is a framework and engine for building streaming applications for use cases such as real-time analytics and complex event processing. This session covers best practices for building low-latency applications with Apache Flink when reading data from either Amazon MSK or Amazon Kinesis Data Streams. It also covers best practices for running low-latency Apache Flink applications using Amazon Kinesis Data Analytics and discusses AWS’s open-source contributions to this use case....

December 10, 2020 · Steffen Hausmann

Choosing the right service for your data streaming needs (ANT316)

In this chalk talk, we discuss the benefits of different AWS streaming services and walk through some use cases for each. We share best practices based on real customer examples and discuss a framework that you can use to determine which set of services best suit your specific use case. Finally, we show some interactive examples, so come ready with your real-life scenarios that we can discuss live. https://d1.awsstatic.com/events/reinvent/2019/Choosing_the_right_service_for_your_data_streaming_needs_ANT316.pdf

December 4, 2019 · Steffen Hausmann

Build real-time analytics for a ride-sharing app (ANT401)

In this session, we walk through how to perform real-time analytics on ride-sharing and taxi data, and we explore how to build a reliable, scalable, and highly available streaming architecture based on managed services. You learn how to deploy, operate, and scale an Apache Flink application with Amazon Kinesis Data Analytics for Java applications. Leave this workshop knowing how to build an end-to-end streaming analytics pipeline, starting with ingesting data into a Kinesis data stream, writing and deploying a Flink application to perform basic stream transformations and aggregations, and persisting the results to Amazon Elasticsearch Service to be visualized from Kibana....

December 2, 2019 · Steffen Hausmann