Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov
Hi, we’re Tim Berglund, Adi Polak, and Viktor Gamov and we’re excited to bring you the Confluent Developer podcast (formerly “Streaming Audio.”) Our hand-crafted weekly episodes feature in-depth interviews with our community of software developers (actual human beings - not AI) talking about some of the most interesting challenges they’ve faced in their careers. We aim to explore the conditions that gave rise to each person’s technical hurdles, as well as how their experiences transformed their understanding and approach to building systems.
Whether you’re a seasoned open source data streaming engineer, or just someone who’s interested in learning more about Apache Kafka®, Apache Flink® and real-time data, we hope you’ll appreciate the stories, the discussion, and our effort to bring you a high-quality show worth your time.
Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov
Data Modeling for Apache Kafka – Streams, Topics & More with Dani Traphagen
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Helping users be successful when it comes to using Apache Kafka® is a large part of Dani Traphagen’s role as a senior systems engineer at Confluent. Whether she’s advising companies on implementing parts of Kafka or rebuilding their systems entirely from the ground up, Dani is passionate about event-driven architecture and the way streaming data provides real-time insights on business activity.
She explains the concept of a stream, topic, key, and stream-table duality, and how each of these pieces relate to one another. When it comes to data modeling, Dani covers importance business requirements, including the need for a domain model, practicing domain-driven design principles, and bounded context. She also discusses the attributes of data modeling: time, source, key, header, metadata, and payload, in addition to exploring the significance of data governance and lineage and performing joins.
EPISODE LINKS
- Convert from table to stream and stream to table
- Distributed, Real-Time Joins and Aggregations on User Activity Events Using Kafka Streams
- KSQL in Action: Real-Time Streaming ETL from Oracle Transactional Data
- KSQL in Action: Enriching CSV Events with Data from RDBMS into AWS
- Journey to Event Driven – Part 4: Four Pillars of Event Streaming Microservices
- Join the Confluent Community Slack
- Fully managed Apache Kafka as a service! Try free.
SEASON 2
Hosted by Tim Berglund, Adi Polak and Viktor Gamov
Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed
Music by Coastal Kites
Artwork by Phil Vo
- 🎧 Subscribe to Confluent Developer wherever you listen to podcasts.
- ▶️ Subscribe on YouTube, and hit the 🔔 to catch new episodes.
- 👍 If you enjoyed this, please leave us a rating.
- 🎧 Confluent also has a podcast for tech leaders: "Life Is But A Stream" hosted by our friend, Joseph Morais.
