Kafka In the Cloud: Why It’s 10x Better With Confluent | Get free eBook

Apache Kafka processing 101: Analyze your streaming data with SQL, Python, or Scala on AWS

With fully managed Apache Flink and Apache Kafka services, AWS makes it easy for developers to run streaming applications without the need to manage infrastructure. Apache Flink is a framework and distributed processing engine for stateful computations over data streams to power event-driven applications and streaming data pipelines. In this session, we discuss how you can use Amazon Kinesis Data Analytics Studio (KDA Studio) and Amazon Managed Streaming for Apache Kafka (Amazon MSK) to interactively build serverless stream processing applications for Kafka using SQL, Python, or Scala with a serverless notebook interface.


Deepthi Mohan

Deepthi is a technical product manager for the Kinesis Data Analytics team at AWS, where she helps drive vision for the managed Apache Flink service. In prior roles, Deepthi performed benchmarking for AWS compute and storage services, worked as a technology consultant building analytics applications at PwC, and developed enterprise cloud software at SAP Labs. She holds a Master’s degree in Information Systems and Bachelor’s degree in Computer Science.