Data Mesh with Kafka Guide: Build Real-Time Data Pipelines and Distributed Mesh Architectures Using Apache Kafka

Design and Scale Real-Time Data Mesh Architectures with Apache Kafka®
Data Mesh with Kafka Guide is a complete, hands-on playbook for data engineers, architects, and platform leaders who want to build scalable, decentralized, and real-time data platforms using Apache Kafka®.
Inside, you'll learn how to apply modern Data Mesh principles—domain-oriented ownership, data as a product, self-serve infrastructure, and federated governance—by leveraging Kafka as the backbone for both real-time streaming and batch workloads.
What you'll learn:

• Foundations of Data Mesh and Apache Kafka architecture
• Design patterns for hybrid, decentralized, and Kafka Mesh topologies
• How to produce, consume, and transform event-driven data products
• Integration of real-time and historical data using CDC, data lakes, and Delta Lake
• Performance tuning, caching strategies, and streaming optimization
• Governance, schema evolution, data contracts, and lineage

Inspired by real-world case studies from companies like Saxo Bank and Flixbus, this guide gives you the tools and mindset to modernize your pipelines, scale your architecture, and align your teams around data-as-a-product.
Start building your Kafka-powered Data Mesh today.