
Learn to build streaming data pipelines using Apache Kafka® and Confluent. Covers data ingestion, real-time transformation with ksqlDB, and data egress. Hands-on tutorials included for practical experience.

Explore ksqlDB's architecture, advanced features, and operations for building real-time applications with Apache Kafka. Learn stateless and stateful operations, joins, fault tolerance, and high availability.

Learn to process event streams with ksqlDB's SQL syntax. Filter, transform, and query data streams, understand streams vs tables, use utility functions, and integrate with Kafka Connect. Hands-on exercises included.

Comprehensive video series on ksqlDB, covering demos, integrations, use cases, installation, core concepts, data manipulation, and production deployment for stream processing with Apache Kafka.

Explore real-time data querying using SQL engines like Apache Flink, ksqlDB, Trino, and RisingWave for streaming data analysis on Kafka and other message buses.

Explore real-time data capture using Debezium, Apicurio Registry, and Strimzi. Learn to stream database changes to Kafka, visualize with ksqldb and kafka-ui, and harness event-driven architectures.

Comprehensive exploration of Apache Kafka's ecosystem, covering core concepts, APIs, and advanced features. Includes live demo showcasing Kafka's capabilities as a robust streaming data platform.

Hands-on demonstration of building a Telegram bot using Apache Kafka, Go, and ksqlDB for real-time data processing and querying, showcasing event-driven architecture and stream processing capabilities.

Learn to build a real-time soil moisture monitoring system for houseplants using ksqlDB, exploring stream processing concepts and practical IoT applications.

Discover how Stream Designer platform revolutionizes real-time data processing in semiconductor manufacturing, enabling efficient DevOps and simplified data manipulation through self-service capabilities.

Explore real-time threat detection using machine learning, Apache Kafka, and ksqlDB. Learn about ZIEM, a network mapping and intrusion detection platform that generates instant network diagrams for quick anomaly detection.

Learn to build a houseplant monitoring system using Raspberry Pi, Apache Kafka, and ksqlDB. Create real-time alerts and gain hands-on experience with event-driven pipelines and stream processing.

Hands-on demonstration of building a Telegram bot using Apache Kafka and ksqlDB, showcasing real-time data processing, querying, and integration capabilities without additional datastores.

Develop a houseplant soil alerting system using ksqlDB, exploring practical pipeline implementation for real-time data processing and monitoring.

Comprehensive exploration of Apache Kafka ecosystem: from basic concepts to advanced features, including topics, APIs, stream processing, and enterprise-grade capabilities.

Learn to create real-time survey bots using Apache Kafka® and ksqlDB. Explore data processing, schema usage, and Kafka architecture while building an interactive Telegram bot for pastry preference polling.

Learn to build a houseplant monitoring system using Raspberry Pi, Apache Kafka, and ksqlDB. Explore event-driven pipelines, stream processing, and real-time alerts for practical home automation projects.

Build an end-to-end data engineering pipeline for real-time YouTube Analytics, using Python, Google Cloud, Docker, and Kafka. Learn to fetch, process, and stream data, with instant Telegram notifications.