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About This Webinar

Fully Managed Apache Flink on AWS

Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time with Apache Flink. Amazon Kinesis Data Analytics reduces the complexity of building, managing, and integrating Apache Flink applications with other AWS services. It takes care of everything required to run streaming applications, and scales automatically to match the volume and throughput of your incoming data. With Amazon Kinesis Data Analytics, there are no servers to manage, no minimum fee or setup cost, and you only pay for the resources your streaming applications consume.

AWS Sessions at the conference:

- Enriching your Data Stream Asynchronously with Apache Flink | October 21: 20:00 - 20:20 CEST (UTC +2)
- How Nextdoor improves their customer experience in real time with Apache Flink | October 21: 21:50 - 22:30 CEST (UTC +2)

Language: English
Who can attend? Anyone with the event link can attend
Featured Presenters
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Principal Data Architect at AWS
Hari Rajaram is a Principal Data Architect at AWS with a proven record of designing and developing complex steaming and analytics applications. His primary role is to help customers find meaningful insights from data in real-time. He has authored a book on Apache Flink (early stages in 2016). Before joining AWS, he played an instrumental role in designing analytic applications that could scale petabytes, apart from researching data privacy.
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Solutions Architect, Streaming Specialist at AWS
I’m Jeremy Ber, and I have been working in the telemetry data space for the past five years as a Software Engineer, Machine Learning Engineer, and most recently a Data Engineer. At Amazon Web Services, I am a Solutions Architect Streaming Specialist supporting both Managed Streaming for Kafka and Kinesis services. I love all things real-time, and Apache Flink is a passion of mine. My dream is that one day batch and streaming will be unified!
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Technical Product Manager, AWS
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 earlier 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.
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