Streaming Audio: Apache Kafka® & Real-Time Data
A podcast by Confluent, founded by the original creators of Apache Kafka®
Categories:
264 Episodes
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Apache Kafka 3.5 - Kafka Core, Connect, Streams, & Client Updates
Published: 6/15/2023 -
A Special Announcement from Streaming Audio
Published: 4/13/2023 -
How to use Data Contracts for Long-Term Schema Management
Published: 3/21/2023 -
How to use Python with Apache Kafka
Published: 3/14/2023 -
Next-Gen Data Modeling, Integrity, and Governance with YODA
Published: 3/7/2023 -
Migrate Your Kafka Cluster with Minimal Downtime
Published: 3/1/2023 -
Real-Time Data Transformation and Analytics with dbt Labs
Published: 2/22/2023 -
What is the Future of Streaming Data?
Published: 2/15/2023 -
What can Apache Kafka Developers learn from Online Gaming?
Published: 2/8/2023 -
Apache Kafka 3.4 - New Features & Improvements
Published: 2/7/2023 -
How to use OpenTelemetry to Trace and Monitor Apache Kafka Systems
Published: 2/1/2023 -
What is Data Democratization and Why is it Important?
Published: 1/26/2023 -
Git for Data: Managing Data like Code with lakeFS
Published: 1/19/2023 -
Using Kafka-Leader-Election to Improve Scalability and Performance
Published: 1/12/2023 -
Real-Time Machine Learning and Smarter AI with Data Streaming
Published: 1/5/2023 -
The Present and Future of Stream Processing
Published: 12/28/2022 -
Top 6 Worst Apache Kafka JIRA Bugs
Published: 12/21/2022 -
Learn How Stream-Processing Works The Simplest Way Possible
Published: 12/20/2022 -
Building and Designing Events and Event Streams with Apache Kafka
Published: 12/15/2022 -
Rethinking Apache Kafka Security and Account Management
Published: 12/8/2022
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.