Streaming Audio: Apache Kafka® & Real-Time Data
Podcast autorstwa Confluent, founded by the original creators of Apache Kafka®
Kategorie:
264 Odcinki
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Event-Driven Systems and Agile Operations
Opublikowany: 21.07.2022 -
Streaming Analytics and Real-Time Signal Processing with Apache Kafka
Opublikowany: 14.07.2022 -
Blockchain Data Integration with Apache Kafka
Opublikowany: 7.07.2022 -
Automating Multi-Cloud Apache Kafka Cluster Rollouts
Opublikowany: 30.06.2022 -
Common Apache Kafka Mistakes to Avoid
Opublikowany: 23.06.2022 -
Tips For Writing Abstracts and Speaking at Conferences
Opublikowany: 16.06.2022 -
How I Became a Developer Advocate
Opublikowany: 9.06.2022 -
Data Mesh Architecture: A Modern Distributed Data Model
Opublikowany: 2.06.2022 -
Flink vs Kafka Streams/ksqlDB: Comparing Stream Processing Tools
Opublikowany: 26.05.2022 -
Practical Data Pipeline: Build a Plant Monitoring System with ksqlDB
Opublikowany: 19.05.2022 -
Apache Kafka 3.2 - New Features & Improvements
Opublikowany: 17.05.2022 -
Scaling Apache Kafka Clusters on Confluent Cloud ft. Ajit Yagaty and Aashish Kohli
Opublikowany: 11.05.2022 -
Streaming Analytics on 50M Events Per Day with Confluent Cloud at Picnic
Opublikowany: 5.05.2022 -
Build a Data Streaming App with Apache Kafka and JS - Coding in Motion
Opublikowany: 3.05.2022 -
Optimizing Apache Kafka's Internals with Its Co-Creator Jun Rao
Opublikowany: 28.04.2022 -
Using Event-Driven Design with Apache Kafka Streaming Applications ft. Bobby Calderwood
Opublikowany: 21.04.2022 -
Monitoring Extreme-Scale Apache Kafka Using eBPF at New Relic
Opublikowany: 13.04.2022 -
Confluent Platform 7.1: New Features + Updates
Opublikowany: 12.04.2022 -
Scaling an Apache Kafka Based Architecture at Therapie Clinic
Opublikowany: 7.04.2022 -
Bridging Frontend and Backend with GraphQL and Apache Kafka ft. Gerard Klijs
Opublikowany: 29.03.2022
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.