Serverless Stream Processing With Apache

June 14, 2026
Media Summary: Details: Julien Jakubowski of StreamNative and Tun Shwe of Quix will present Windows and Triggers notebook → Google Cloud Dataflow → Beam College ... Real-time analytics has traditionally been analyzed using batch

Serverless Stream Processing With Apache - Detailed Analysis & Overview

Details: Julien Jakubowski of StreamNative and Tun Shwe of Quix will present Windows and Triggers notebook → Google Cloud Dataflow → Beam College ... Real-time analytics has traditionally been analyzed using batch Presented at the Bay Area Hadoop Meetup - Sponsored by Yahoo ... In this session, explore how to build scalable data

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Serverless Stream Processing with Apache Kafka ft. Bill Bejeck

Serverless Stream Processing with Apache Kafka ft. Bill Bejeck

https://cnfl.io/podcast-episode-202 | What is

Serverless Stream Processing with Confluent Cloud, Kafka and AWS Lambda by Geetha Anne

Serverless Stream Processing with Confluent Cloud, Kafka and AWS Lambda by Geetha Anne

Adopting a

Intro to Stream Processing with Apache Flink | Apache Flink 101

Intro to Stream Processing with Apache Flink | Apache Flink 101

TRY THIS YOURSELF: https://cnfl.io/

Unify Batch and Stream Processing with Apache Beam on AWS (Beam Summit Europe 2019)

Unify Batch and Stream Processing with Apache Beam on AWS (Beam Summit Europe 2019)

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Serverless Tribe #2：Unlocking the Future of Event-Driven Architecture.

Serverless Tribe #2：Unlocking the Future of Event-Driven Architecture.

Details: Julien Jakubowski of StreamNative and Tun Shwe of Quix will present

How to process stream data on Apache Beam

How to process stream data on Apache Beam

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AWS re:Invent 2019: [REPEAT 1] Serverless stream processing pipeline best practices (SVS317-R1)

AWS re:Invent 2019: [REPEAT 1] Serverless stream processing pipeline best practices (SVS317-R1)

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Stream Processing | Apache Kafka 101 (2025 Edition)

Get started: https://cnfl.io/

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AWS re:Invent 2018: [REPEAT 1] Serverless Stream Processing Pipeline Best Practices (SRV316-R1)

Real-time analytics has traditionally been analyzed using batch

Confluent Cloud for Apache Flink | Simple, Serverless Stream Processing

Confluent Cloud for Apache Flink | Simple, Serverless Stream Processing

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PySpark Streaming Full Course | Big Data With Apache Spark

PySpark |

Raising the performance bar for stream processing with Apache Storm 2.0 - Roshan Naik, Uber

Raising the performance bar for stream processing with Apache Storm 2.0 - Roshan Naik, Uber

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AWS re:Invent 2023 - Scaling serverless data processing with Amazon Kinesis and Apache Kafka(SVS307)

In this session, explore how to build scalable data