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Build Streaming Data Applications in Minutes Using SwimOS and Nstream
1. Introduction | Apache Kafka Fundamentals
Kafka Streams 101: Processor API (2023)
Event Sourcing 101: Command Query Responsibility Segregation (CQRS)
Kafka Streams 101 Course Trailer | Confluent Developer (2023)
Introduction to Apache Kafka Clusters | Apache Kafka® Explained
Intro to Kafka Connect: Core Components and Architecture ft. Robin Moffatt
From Raw Data to an Interactive Data App in an Hour: Powered by Snowpark Python
6. The Confluent Platform | Apache Kafka Fundamentals
ksqlDB 101: Transforming Data with ksqlDB
Introducing the Confluent CLI | Screencast
Schema Evolution with Zero Down Time | Designing Event-Driven Microservices
Microservice Pitfalls: Solving the Dual-Write Problem | Designing Event-Driven Microservices
Confluent Cloud for Apache Flink | Interactive Tables for Flink SQL Workspaces
Apache Kafka 3.8 - Introducing a New Docker Image for GraalVM-based Native Kafka Broker
Spring for Apache Kafka® 101: Create Kafka Topics with TopicBuilder
Database Streaming with Apache Kafka
Retrieval Augmented Generation (RAG) with Data Streaming
Spring for Apache Kafka® 101: Confluent Cloud Schema Registry and Spring Boot
Build a Reactive Data Streaming App with Python and Apache Kafka | Coding In Motion
Part 3: Confluent Platform Security
What is Watermark Alignment? | Apache Flink in Action
3. Apache Kafka Fundamentals | Apache Kafka Fundamentals
Apache Kafka 101: Kafka Streams (2023)
Running Kafka Connect in Docker | Kafka Connect 101 (2023)
Schema Compatibility | Schema Registry 101
Schema Formats | Schema Registry 101
Schema Subjects | Schema Registry 101
Key Concepts of Schema Registry | Schema Registry 101
Schema Registry | Streaming Data Governance
Streaming Processing and Testing with Spring Cloud Stream | Livestreams 020
Data Pipelines: Using CDC to Ingest Data into Kafka
Flink Serializers and Deserializers
Spring for Apache Kafka® 101: Receiving Messages with KafkaListener
4. How Kafka Works | Apache Kafka Fundamentals
How to resolve issues with your Python Kafka Producers
The Confluent Q1 22 Launch
2. Motivations and Customer Use Cases | Apache Kafka Fundamentals
PREVIEW: Multi-Tenant, Multi-Cluster, Hierarchical Messaging (Allen Wang, Netflix) Kafka Summit 2017
Real-Time Change Data Capture and Data Integration with Apache Kafka and Qlik
Apache Kafka 3.1 - Overview of Latest Features, Updates, and KIPs
Demo: Seamless Stream Processing with Kafka Connect & ksqlDB
Kafka Streams 101: Error Handling (2023)
High Availability and Disaster Recovery with Cluster Linking | Hybrid and Multicloud Architecture
4. Transforming Data Pt. II | Apache Kafka® Streams API
Using Event-Driven Design with Apache Kafka Streaming Applications ft. Bobby Calderwood
What can Apache Kafka Developers Learn from Online Gaming
Simplifying Omni-Channel Retail at Scale (Aaron Strey, Target) | Kafka Summit NYC 2017
Jun Rao, Confluent - Kafka Controller: A Deep Dive | Bay Area Apache Kafka® Meetup
Learn How Sencrop Streams Data From 35K Weather Stations to Farms Across Europe
Introduction | Designing Event-Driven Microservices