Confluent Developer
A channel for developers, by developers. Confluent Developer provides comprehensive resources for developers looking to learn about Apache Kafka®, Apache Flink®, Confluent Cloud, Confluent Platform, and other technologies related to the broader Data Streaming Platform. Content on Confluent Developer includes courses, getting started guides, topical deep-dives, patterns, tutorials, and listings of community events. More at https://developer.confluent.io. Confluent, founded by the original creators of Apache Kafka®, enables organizations to harness business value of live data. The Confluent Platform manages the barrage of stream data and makes it available throughout an organization. It provides various industries, from retail, logistics and manufacturing, to financial services and online social networking, a scalable, unified, real-time data pipeline that enables applications ranging from large volume data integration to big data analysis with Hadoop to real-time stream processing.
Channel created: September 20, 2024
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View All VideosStreaming Frontiers - S01E011 - We Need No Keeper
In this episode of Streaming Frontiers, we’ll tackle one of the most requested topics in the Apache Kafka® community: migrating a ZooKeeper-based Kafka cluster to KRaft on Kubernetes. You’ll hear f...
Agent2Agent (A2A) at work?
Most multi-agent work today is pretty simple: instances of Claude Code hammering away on a codebase and coordinating through the file system on a laptop. If you want to build multi-agent systems in...
The 1 Billion Row Challenge with Gunnar Morling | Ep. 23 | Confluent Developer Podcast
Listen: https://confluent.buzzsprout.com | Tim Berglund talks to Gunnar Morling (Confluent) about his career in open source Java and data streaming. Gunnar’s first job: a student PHP developer in A...
Real-Time Data with Tableflow | Apache Iceberg + Tableflow
Get started: https://cnfl.io/apache-iceberg-101-learn-more | In this final module, Tim shows how Confluent’s Tableflow turns Kafka topics into Apache Iceberg tables with exactly-once delivery, auto...
Shift Left in Data Pipelines
https://confluent.io | In modern data systems, fixing problems downstream is too late. Shift left means validating data earlier—right where it’s produced. Schemas, contracts, CI tests, and observab...
Agent Skills or MCP in the era of Claude Code?
Agentic AI and Claude Code are having a moment, thanks in no small part to agent skills. What does this mean for MCP? In his newest lightboard, Tim Berglund sorts it out. Along the way, he recaps w...
Apache Flink in 60 Seconds
https://confluent.io | In this quick 60-second breakdown, learn how Flink powers real-time data processing at massive scale. LEARN MORE ► Confluent Developer: https://developer.confluent.io CONNE...
From Git Blame to Principal Engineer with Sage Pierce | Ep. 22 | Confluent Developer Podcast
Listen: https://confluent.buzzsprout.com | Adi Polak talks to Sage Pierce (Indeed) about his career in software engineering. Sage’s first job: Java Swing development at a Department of Defense–affi...
Kafka as a Queue?
https://confluent.io | With KIP-932, shared consumer groups allow multiple consumers to process the same partition, bringing queue-like scaling while keeping Kafka’s event log semantics. https://c...
Query Engines and Ecosystem | Apache Iceberg + Tableflow
Get started: https://cnfl.io/apache-iceberg-101-learn-more | Tim shows how Apache Iceberg opens the door to a rich ecosystem of engines and tools, all reading from the same tables with no copies, n...