Apache Kafka and Apache Iceberg: Real-Time Data Streaming into Modern Data Lakes

Watch this 36-minute conference talk from GOTO Chicago 2024 exploring the integration of Apache Kafka with Apache Iceberg for modern data lake solutions. Learn how Kafka functions as a platform for real-time streaming data capture and discover the advantages of Apache Iceberg table format for data lakes and warehouses, including schema evolution, ACID transactions, hidden partitioning, and time traveling capabilities. Explore the complexities of streaming data from Kafka into Iceberg-based data lakes and understand how Confluent Tableflow can streamline this process. Through a practical demonstration, gain insights into implementing Kafka-Iceberg integration for enhanced real-time analytics. The presentation covers fundamental concepts of both technologies, addresses common challenges in data streaming to data lakes, and provides solutions for efficient data management in modern architectures.