
Learn real-time stream processing with Kafka Streams, from installation to application development and testing. Covers multi-node clusters, Windows setup, and IntelliJ IDEA configuration.

Explore how data lakehouse architecture with Apache Hudi supports real-world predictive ML and vector-based AI use cases in this 30-minute keynote by Vinoth Chandar, creator of Apache Hudi. Learn about ingesting data with minute-level freshness, providin…

Explore the evolution of data processing architectures for Generative AI in this 12-minute talk by Emily Ekdahl at the MLOps.community event. Discover how real-time data streaming solutions using Apache Kafka and Apache Flink are revolutionizing the way…

Explore the intricate journey of data into Apache Kafka® in this 49-minute conference talk from Devoxx. Delve into the complex process behind the seemingly simple producer.send() call, tracing the path of a request from its inception to disk storage and…

Explore the world of data streaming through this 39-minute conference talk from Devoxx. Dive into Confluent's Data Streaming Platform and discover how to Stream, Connect, Govern, and Process large volumes of information effectively. Learn about the revol…

Build a real-time anomaly detection system using streaming data engineering techniques. Learn end-to-end implementation for monitoring and identifying unusual patterns in data streams.

Discover 15 crucial best practices for Apache Kafka, covering naming conventions, replication, partitioning, data quality, and more. Gain practical insights to optimize your Kafka environment.

Extend Dynatrace's observability capabilities using Extensions 2.0 framework. Learn to develop, test, and manage extensions with the new Visual Studio Code Add-On through a hands-on Apache Kafka example.

Explore building a CML pipeline using Apache Spark and Kafka. Learn functional programming techniques for efficient data processing and machine learning workflows.

Explore Apache Kafka® replication: challenges, approaches, monitoring, and failure handling. Gain practical insights through Docker and Jupyter notebook experiments, with code available on GitHub.

Explore the lifecycle of Kafka producer requests, from initial call to disk storage and back, enhancing your debugging and performance analysis skills for Apache Kafka.

Learn to build real-time data processing applications using Apache Kafka's Streams API, covering creation, data transformation, and advanced techniques.

Comprehensive guide to Docker, covering containerization, databases, message queues, and microservices with practical examples and performance insights.

Learn key concepts in distributed systems including multiprocessing, concurrent requests, transactions, caching, and publish-subscribe architecture through practical examples and real-world scenarios.

Comprehensive introduction to Apache Kafka, covering core concepts, architecture, and hands-on implementation. Includes practical examples, coding demonstrations, and discussion of pros and cons.

Learn Apache Kafka fundamentals, including topics, partitions, producers, and consumers in this comprehensive beginner-friendly tutorial.

Learn Apache Kafka fundamentals: topics, partitions, brokers, producers, consumers, and enterprise architecture. Understand core concepts and ecosystem components in this concise introduction.

Learn to process data with Apache Kafka Streams, covering core concepts, application setup, WordCount topology, and various stream processing techniques.

Learn to implement Schema Registry in Kafka, write Avro producers, and understand the architecture of Schema Registry and REST Proxy for efficient data serialization and management.

Learn to set up and manage Apache Kafka clusters, including Zookeeper configuration, cloud provider considerations, and cluster sizing for optimal performance.

Comprehensive tutorials on Apache Kafka, covering core concepts, installation, APIs, configurations, and advanced topics for building real-time data streaming applications.