Streaming Audio: Apache Kafka® & Real-Time Data
En podcast af Confluent, founded by the original creators of Apache Kafka®
Kategorier:
264 Episoder
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Real-time Threat Detection Using Machine Learning and Apache Kafka
Udgivet: 29.11.2022 -
Improving Apache Kafka Scalability and Elasticity with Tiered Storage
Udgivet: 22.11.2022 -
Decoupling with Event-Driven Architecture
Udgivet: 15.11.2022 -
If Streaming Is the Answer, Why Are We Still Doing Batch?
Udgivet: 9.11.2022 -
Security for Real-Time Data Stream Processing with Confluent Cloud
Udgivet: 3.11.2022 -
Running Apache Kafka in Production
Udgivet: 27.10.2022 -
Build a Real Time AI Data Platform with Apache Kafka
Udgivet: 20.10.2022 -
Optimizing Apache JVMs for Apache Kafka
Udgivet: 13.10.2022 -
Apache Kafka 3.3 - KRaft, Kafka Core, Streams, & Connect Updates
Udgivet: 3.10.2022 -
Application Data Streaming with Apache Kafka and Swim
Udgivet: 3.10.2022 -
International Podcast Day - Apache Kafka Edition | Streaming Audio Special
Udgivet: 30.9.2022 -
How to Build a Reactive Event Streaming App - Coding in Motion
Udgivet: 20.9.2022 -
Real-Time Stream Processing, Monitoring, and Analytics With Apache Kafka
Udgivet: 15.9.2022 -
Reddit Sentiment Analysis with Apache Kafka-Based Microservices
Udgivet: 8.9.2022 -
Capacity Planning Your Apache Kafka Cluster
Udgivet: 30.8.2022 -
Streaming Real-Time Sporting Analytics for World Table Tennis
Udgivet: 25.8.2022 -
Real-Time Event Distribution with Data Mesh
Udgivet: 18.8.2022 -
Apache Kafka Security Best Practices
Udgivet: 11.8.2022 -
What Could Go Wrong with a Kafka JDBC Connector?
Udgivet: 4.8.2022 -
Apache Kafka Networking with Confluent Cloud
Udgivet: 28.7.2022
Streaming Audio features all things Apache Kafka®, Confluent, real-time data, and the cloud. We cover frequently asked questions, best practices, and use cases from the Kafka community—from Kafka connectors and distributed systems, to data mesh, data integration, modern data architectures, and data mesh built with Confluent and cloud Kafka as a service. Join our hosts as they stream through a series of interviews, stories, and use cases with guests from the data streaming industry. Apache®️, Apache Kafka, Kafka, and the Kafka logo are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by The Apache Software Foundation is implied by the use of these marks.
