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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Event-Driven Systems and Agile Operations
Udgivet: 21.7.2022 -
Streaming Analytics and Real-Time Signal Processing with Apache Kafka
Udgivet: 14.7.2022 -
Blockchain Data Integration with Apache Kafka
Udgivet: 7.7.2022 -
Automating Multi-Cloud Apache Kafka Cluster Rollouts
Udgivet: 30.6.2022 -
Common Apache Kafka Mistakes to Avoid
Udgivet: 23.6.2022 -
Tips For Writing Abstracts and Speaking at Conferences
Udgivet: 16.6.2022 -
How I Became a Developer Advocate
Udgivet: 9.6.2022 -
Data Mesh Architecture: A Modern Distributed Data Model
Udgivet: 2.6.2022 -
Flink vs Kafka Streams/ksqlDB: Comparing Stream Processing Tools
Udgivet: 26.5.2022 -
Practical Data Pipeline: Build a Plant Monitoring System with ksqlDB
Udgivet: 19.5.2022 -
Apache Kafka 3.2 - New Features & Improvements
Udgivet: 17.5.2022 -
Scaling Apache Kafka Clusters on Confluent Cloud ft. Ajit Yagaty and Aashish Kohli
Udgivet: 11.5.2022 -
Streaming Analytics on 50M Events Per Day with Confluent Cloud at Picnic
Udgivet: 5.5.2022 -
Build a Data Streaming App with Apache Kafka and JS - Coding in Motion
Udgivet: 3.5.2022 -
Optimizing Apache Kafka's Internals with Its Co-Creator Jun Rao
Udgivet: 28.4.2022 -
Using Event-Driven Design with Apache Kafka Streaming Applications ft. Bobby Calderwood
Udgivet: 21.4.2022 -
Monitoring Extreme-Scale Apache Kafka Using eBPF at New Relic
Udgivet: 13.4.2022 -
Confluent Platform 7.1: New Features + Updates
Udgivet: 12.4.2022 -
Scaling an Apache Kafka Based Architecture at Therapie Clinic
Udgivet: 7.4.2022 -
Bridging Frontend and Backend with GraphQL and Apache Kafka ft. Gerard Klijs
Udgivet: 29.3.2022
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.
