Deleting Architecture for Better Systems ft. Daniel Doubrovkine | Ep. 19

Deleting Architecture for Better Systems ft. Daniel Doubrovkine | Ep. 19

Adi Polak talks to Daniel Doubrovkine (Shopify) about his career building data‑intensive systems. Daniel’s first job: delivering pharmacy medications by bike. His challenge: building Artsy’s Art Genome and auctions as simple as possible. 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. ▶️ Subscr...

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What can Apache Kafka Developers learn from Online Gaming?

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What can online gaming teach us about making large-scale event management more collaborative in real-time? Ben Gamble (Developer Relations Manager, Aiven) has come to the world of real-time event str...

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Apache Kafka 3.4 - New Features & Improvements

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Apache Kafka® 3.4 is released! In this special episode, Danica Fine (Senior Developer Advocate, Confluent), shares highlights of the Apache Kafka 3.4 release. This release introduces new KIPs in Kafka...

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How to use OpenTelemetry to Trace and Monitor Apache Kafka Systems

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How can you use OpenTelemetry to gain insight into your Apache Kafka® event systems? Roman Kolesnev, Staff Customer Innovation Engineer at Confluent, is a member of the Customer Solutions & Innovation...

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What is Data Democratization and Why is it Important?

What is Data Democratization and Why is it Important?

Data democratization allows everyone in an organization to have access to the data they need, and the necessary tools needed to use this data effectively. In short, data democratization enables better...

26 Tammi 202347min

Git for Data: Managing Data like Code with lakeFS

Git for Data: Managing Data like Code with lakeFS

Is it possible to manage and test data like code? lakeFS is an open-source data version control tool that transforms object storage into Git-like repositories, offering teams a way to use the same wor...

19 Tammi 202330min

Using Kafka-Leader-Election to Improve Scalability and Performance

Using Kafka-Leader-Election to Improve Scalability and Performance

How does leader election work in Apache Kafka®? For the past 2 ½ years, Adithya Chandra, Staff Software Engineer at Confluent, has been working on Kafka scalability and performance, specifically parti...

12 Tammi 202351min

Real-Time Machine Learning and Smarter AI with Data Streaming

Real-Time Machine Learning and Smarter AI with Data Streaming

Are bad customer experiences really just data integration problems? Can real-time data streaming and machine learning be democratized in order to deliver a better customer experience? Airy, an open-so...

5 Tammi 202338min

The Present and Future of Stream Processing

The Present and Future of Stream Processing

The past year saw new trends emerge in the world of data streaming technologies, as well as some unexpected and novel use cases for Apache Kafka®. New reflections on the future of stream processing an...

28 Joulu 202231min

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