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Maximizing your event-driven architecture investments: Unleashing the power of Apache Kafka with IBM Event Automation

IBM Journey to AI blog

At the forefront of this event-driven revolution is Apache Kafka, the widely recognized and dominant open-source technology for event streaming. It offers businesses the capability to capture and process real-time information from diverse sources, such as databases, software applications and cloud services.

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Anomaly detection in streaming time series data with online learning using Amazon Managed Service for Apache Flink

AWS Machine Learning Blog

It initially sources input time series data from Amazon Managed Streaming for Apache Kafka (Amazon MSK) using this live stream for model training. Conclusion This post demonstrated how to build a robust real-time anomaly detection solution for streaming time series data using Managed Service for Apache Flink and other AWS services.

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Real-time artificial intelligence and event processing  

IBM Journey to AI blog

Learn more and get started with IBM Event Automation Connect with the IBM experts and request a custom demo of IBM Event Automation to see how it can help you and your team in putting business events to work, powering real-time data analytics and activating intelligent automation.

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Ask HN: Who wants to be hired? (July 2025)

Hacker News

Remote: Open Willing to relocate: Yes Technologies: Java, Scala, Python, Angular, React, Apache Spark, SQL & NoSQL, Dart, Typescript/Javascript, HTML/CSS/SCSS Résumé/CV: https://drive.google.com/file/d/1tNLYIjtH8dgBSMGPbVg3qA0-6q_. Email: hoglan (dot) jd (at) gmail Hello!

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How to Build a Real-Time Data Analytics Platform with Snowflake and AWS

phData

A demo of the implementation. Technologies Involved: Streaming Tools and Platforms: Snowpipe , AWS Kinesis, Apache Kafka, Apache Flink, Google Pub/Sub, etc. Databases & Data Stores: Snowflake, AWS Redshift, Apache Druid, ClickHouse, etc. Next, select On-Demand since this is a demo only.

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