Streaming Audio: Apache Kafka® & Real-Time Data
Un podcast de Confluent, founded by the original creators of Apache Kafka®
Catégories:
264 Épisodes
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Apache Kafka 3.5 - Kafka Core, Connect, Streams, & Client Updates
Publié: 15/06/2023 -
A Special Announcement from Streaming Audio
Publié: 13/04/2023 -
How to use Data Contracts for Long-Term Schema Management
Publié: 21/03/2023 -
How to use Python with Apache Kafka
Publié: 14/03/2023 -
Next-Gen Data Modeling, Integrity, and Governance with YODA
Publié: 07/03/2023 -
Migrate Your Kafka Cluster with Minimal Downtime
Publié: 01/03/2023 -
Real-Time Data Transformation and Analytics with dbt Labs
Publié: 22/02/2023 -
What is the Future of Streaming Data?
Publié: 15/02/2023 -
What can Apache Kafka Developers learn from Online Gaming?
Publié: 08/02/2023 -
Apache Kafka 3.4 - New Features & Improvements
Publié: 07/02/2023 -
How to use OpenTelemetry to Trace and Monitor Apache Kafka Systems
Publié: 01/02/2023 -
What is Data Democratization and Why is it Important?
Publié: 26/01/2023 -
Git for Data: Managing Data like Code with lakeFS
Publié: 19/01/2023 -
Using Kafka-Leader-Election to Improve Scalability and Performance
Publié: 12/01/2023 -
Real-Time Machine Learning and Smarter AI with Data Streaming
Publié: 05/01/2023 -
The Present and Future of Stream Processing
Publié: 28/12/2022 -
Top 6 Worst Apache Kafka JIRA Bugs
Publié: 21/12/2022 -
Learn How Stream-Processing Works The Simplest Way Possible
Publié: 20/12/2022 -
Building and Designing Events and Event Streams with Apache Kafka
Publié: 15/12/2022 -
Rethinking Apache Kafka Security and Account Management
Publié: 08/12/2022
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.