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...
29 Nov 202229min
Improving Apache Kafka Scalability and Elasticity with Tiered Storage
What happens when you need to store more than a few petabytes of data? Rittika Adhikari (Software Engineer, Confluent) discusses how her team implemented tiered storage, a method for improving the sca...
22 Nov 202229min
Decoupling with Event-Driven Architecture
In principle, data mesh architecture should liberate teams to build their systems and gather data in a distributed way, without having to explicitly coordinate. Data is the thing that can and should d...
15 Nov 202238min
If Streaming Is the Answer, Why Are We Still Doing Batch?
Is real-time data streaming the future, or will batch processing always be with us? Interest in streaming data architecture is booming, but just as many teams are still happily batching away. Batch pr...
9 Nov 202243min
Security for Real-Time Data Stream Processing with Confluent Cloud
Streaming real-time data at scale and processing it efficiently is critical to cybersecurity organizations like SecurityScorecard. Jared Smith, Senior Director of Threat Intelligence, and Brandon Brow...
3 Nov 202248min
Running Apache Kafka in Production
What are some recommendations to consider when running Apache Kafka® in production? Jun Rao, one of the original Kafka creators, as well as an ongoing committer and PMC member, shares the essential wi...
27 Okt 202258min
Build a Real Time AI Data Platform with Apache Kafka
Is it possible to build a real-time data platform without using stateful stream processing? Forecasty.ai is an artificial intelligence platform for forecasting commodity prices, imparting insights int...
20 Okt 202237min
