Kafka Books

Every enterprise application creates data, whether it consists of log messages, metrics, user activity, or outgoing messages. Moving all this data is just as important as the data itself. With this updated edition, application architects, developers, and production engineers new to the Kafka streaming platform will learn how to handle data in motio

How can event streams help make your application more scalable, reliable, and maintainable? In this report, O'Reilly author Martin Kleppmann shows you how stream processing can make your data storage and processing systems more flexible and less complex. Structuring data as a stream of events isn't new, but with the advent of open source projects s

Application Programming Interfaces (APIs) are seemingly everywhere. Thanks to the popularity of web-based products, cloud-based X-as-a-service offerings, and IoT, it is becoming increasingly important for engineers to understand all aspects of APIs, from design, to building, to operation. Research shows that there is increasing demand for near real

Ready to simplify the process of building data lakehouses and data pipelines at scale? In this practical guide, learn how Delta Lake is helping data engineers, data scientists, and data analysts overcome key data reliability challenges with modern data engineering and management techniques. Authors Denny Lee, Tristen Wentling, Scott Haines, and Pra

Modern business runs on Java. It's the programming language of choice for large-scale applications, whether they're running in the cloud or in a private data center. Despite being nearly 30 years old, Java remains one of the most widely used programming languages in the world thanks to its versatility, reliability, and stability. Java is also far m