Data Contracts: Developing Production Grade Pipelines at Scale

Author:   Chad Sanderson ,  Mark Freeman
Publisher:   O'Reilly Media
ISBN:  

9781098157630


Pages:   350
Publication Date:   30 November 2025
Format:   Paperback
Availability:   Not yet available   Availability explained
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Data Contracts: Developing Production Grade Pipelines at Scale


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Author:   Chad Sanderson ,  Mark Freeman
Publisher:   O'Reilly Media
Imprint:   O'Reilly Media
ISBN:  

9781098157630


ISBN 10:   109815763
Pages:   350
Publication Date:   30 November 2025
Audience:   General/trade
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Chad Sanderson is one of the most well-known and prolific writers and speakers on Data Contracts. He is passionate about data quality and fixing the muddy relationship between data producers and consumers. He is a former head of data at Convoy, a LinkedIn writer, and a published author. Chad created the first implementation of data contracts at scale during his time at Convoy, and also created the first engineering guide to deploying contracts in streaming, batch, and even oriented environments. He lives in Seattle, Washington, and operates the Data Quality Camp Slack group and the Data Products newsletter, both of which focus on data contracts and their technical implementation. Mark Freeman is a community health advocate turned data engineer interested in the intersection of social impact, business, and technology. His life's mission is to improve the well-being of as many people as possible through data. Mark received his M.S. from the Stanford School of Medicine and is also certified in Entrepreneurship and Innovation from the Stanford Graduate School of Business. In addition, Mark has worked within numerous startups where he has put machine learning models into production, integrated data analytics into products, and led migrations to improve data infrastructure. 

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