Explore the future of streaming data in this 42-minute podcast episode featuring Greg DeMichillie, VP of Product and Solutions Marketing at Confluent. Dive into the complexities of managing data connections within organizations and learn how Apache Kafka® and Confluent offer solutions for organizing and interpreting real-time data streams. Discover the challenges companies face when adopting Kafka internally, including data governance, security, and partner integration. Gain insights into the next big frontier of data streaming, where the focus shifts from data storage to data movement. Learn about best practices, advanced use cases, and upcoming events like Kafka Summit and Current for deeper exploration of Apache Kafka-related topics. Access additional resources, including tutorials, guides, and a live demo on event-driven microservices with Confluent.
The Future of Streaming Data - Challenges and Opportunities
Overview
Syllabus
- Intro
- How did Greg get started with event streaming?
- What is the value of data streaming in Apache Kafka?
- Event logs vs REST APIs
- What are the stages of Kafka adoption?
- What is the next big frontier in Kafka adoption?
- How do we get to the next stage of streaming data faster?
- It's a wrap!
Taught by
Confluent
