Streaming Data Mesh: A Model for Optimizing Real-Time Data Services
Hubert Dulay · Stephen Mooney
Sep 2024 · Gildan Media · Narrated by Mike Lenz
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6 hr 11 min
Unabridged
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About this audiobook
Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster. Data meshes can help your organization decentralize data, giving ownership back to the engineers who produced it. This book provides a concise yet comprehensive overview of data mesh patterns for streaming and real-time data services.
Authors Hubert Dulay and Stephen Mooney examine the vast differences between streaming and batch data meshes. Data engineers, architects, data product owners, and those in DevOps and MLOps roles will learn steps for implementing a streaming data mesh, from defining a data domain to building a good data product. Through the course of the book, you'll create a complete self-service data platform and devise a data governance system that enables your mesh to work seamlessly.
With this book, you will design a streaming data mesh using Kafka; learn how to identify a domain; build your first data product using self-service tools; apply data governance to the data products you create; learn the differences between synchronous and asynchronous data services; and implement self-services that support decentralized data.
Authors Hubert Dulay and Stephen Mooney examine the vast differences between streaming and batch data meshes. Data engineers, architects, data product owners, and those in DevOps and MLOps roles will learn steps for implementing a streaming data mesh, from defining a data domain to building a good data product. Through the course of the book, you'll create a complete self-service data platform and devise a data governance system that enables your mesh to work seamlessly.
With this book, you will design a streaming data mesh using Kafka; learn how to identify a domain; build your first data product using self-service tools; apply data governance to the data products you create; learn the differences between synchronous and asynchronous data services; and implement self-services that support decentralized data.
About the author
Hubert Dulay is a systems and data engineer at Confluent. A veteran engineer with over twenty years of experience in big and fast data and MLOps, Hubert has consulted for financial institutions, healthcare organizations, and telecommunications companies, providing simple solutions that solved many data problems.
Stephen Mooney is an independent data scientist and data engineer serving multiple clients. With over twenty years of experience in big data, MLOps, and data science, he has worked in many major companies across healthcare, retail, and the public sector.
Mike Lenz has been an audiobook narrator and voice actor for more than fourteen years. Having narrated titles in genres ranging from fiction, entertainment, science, and children's literature to Christian, business, self-help, and history, Mike loves bringing nonfiction and fiction stories to life.
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