Real-time Threat Detection Using Machine Learning and Apache Kafka

Real-time Threat Detection Using Machine Learning and Apache Kafka

Can we use machine learning to detect security threats in real-time? As organizations increasingly rely on distributed systems, it is becoming more important to analyze the traffic that passes through those systems quickly. Confluent Hackathon ’22 finalist, Géraud Dugé de Bernonville (Data Consultant, Zenika Bordeaux), shares how his team used TensorFlow (machine learning) and Neo4j (graph database) to analyze and detect network traffic data in real-time. What started as a research and develo...

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Designing a Cluster Rollout Management System for Apache Kafka ft. Twesha Modi

Designing a Cluster Rollout Management System for Apache Kafka ft. Twesha Modi

As one of the top coders of her Java coding class in high school, Twesha Modi is continuing to follow her passion for computer science as a senior at Cornell University, where she has proven to be one...

23 Sep 202130min

Apache Kafka 3.0 - Improving KRaft and an Overview of New Features

Apache Kafka 3.0 - Improving KRaft and an Overview of New Features

Apache Kafka® 3.0 is out! To spotlight major enhancements in this release, Tim Berglund (Apache Kafka Developer Advocate) provides a summary of what’s new in the Kafka 3.0 release from Krakow, Poland,...

21 Sep 202115min

How to Build a Strong Developer Community with Global Engagement ft. Robin Moffatt and Ale Murray

How to Build a Strong Developer Community with Global Engagement ft. Robin Moffatt and Ale Murray

A developer community brings people with shared interests and purpose together. The fundamental elements of a community are to gather, learn, support, and create opportunities for collaboration. A dev...

14 Sep 202135min

What Is Data Mesh, and How Does it Work? ft. Zhamak Dehghani

What Is Data Mesh, and How Does it Work? ft. Zhamak Dehghani

The data mesh architectural paradigm shift is all about moving analytical data away from a monolithic data warehouse or data lake into a distributed architecture—allowing data to be shared for analyti...

9 Sep 202134min

Multi-Cluster Apache Kafka with Cluster Linking ft. Nikhil Bhatia

Multi-Cluster Apache Kafka with Cluster Linking ft. Nikhil Bhatia

Note: This episode was recorded when Cluster Linking was in preview mode. It’s now generally available as part of the Confluent Q3 ‘21 release on August 17, 2021. Infrastructure needs to react in rea...

31 Aug 202131min

Using Apache Kafka and ksqlDB for Data Replication at Bolt

Using Apache Kafka and ksqlDB for Data Replication at Bolt

What does a ride-hailing app that offers micromobility and food delivery services have to do with data in motion? In this episode, Ruslan Gibaiev (Data Architect, Bolt) shares about Bolt’s road to ado...

26 Aug 202129min

Placing Apache Kafka at the Heart of a Data Revolution at Saxo Bank

Placing Apache Kafka at the Heart of a Data Revolution at Saxo Bank

Monolithic applications present challenges for organizations like Saxo Bank, including difficulties when it comes to transitioning to cloud, data efficiency, and performing data management in a regula...

19 Aug 202128min

Advanced Stream Processing with ksqlDB ft. Michael Drogalis

Advanced Stream Processing with ksqlDB ft. Michael Drogalis

ksqlDB makes it easy to read, write, process, and transform data on Apache Kafka®, the de facto event streaming platform. With simple SQL syntax, pre-built connectors, and materialized views, ksqlDB’s...

11 Aug 202128min

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