Streaming Audio: Apache Kafka® & Real-Time Data
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.
Streaming Audio: Apache Kafka® & Real-Time Data
ETL and Event Streaming Explained ft. Stewart Bryson
Migrating from traditional ETL tools to an event streaming platform is a process that Stewart Bryson (CEO and founder, Red Pill Analytics), is no stranger to. In this episode, he dispels misconceptions around what “streaming ETL” means, and explains why event streaming and event-driven architectures compel us to rethink old approaches:
- Not all data is corporate data anymore
- Not all data is relational data anymore
- The cost of storing data is now negligible
Supporting modern, distributed event streaming platforms, and the shift of focus from on-premises to the cloud introduces new use cases that focus primarily on building new systems and rebuilding existing ones.
From Kafka Connect and stack applications to the importance of tables, events, and logs, Stewart also discusses Gradle and how it’s being used at Red Pill Analytics.
EPISODE LINKS
- Deploying Kafka Streams and KSQL with Gradle – Part 1: Overview and Motivation
- Deploying Kafka Streams and KSQL with Gradle – Part 2: Managing KSQL Implementations
- Deploying Kafka Streams and KSQL with Gradle – Part 3: KSQL User-Defined Functions and Kafka Streams
- Join the Confluent Community Slack
- Fully managed Apache Kafka as a service! Try free.