Sanderson Chad Mark Freeman (16 results)

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  • Language: English

    Published by O'Reilly Media, 2025

    109815763X / 9781098157630

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  • Language: English

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  • Language: English

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    Paperback. Condition: New. Poor data quality can cause major problems for data teams, from breaking revenue-generating data pipelines to losing the trust of data consumers. Despite the importance of data quality, many data teams still struggle to avoid these issues-especially when their data is sourced from upstream workflows outside of their control. The solution: data contracts. Data contracts enable high-quality, well-governed data assets by documenting expectations of the data, establishing ownership of data assets, and then automatically enforcing these constraints within the CI/CD workflow.This practical book introduces data contract architecture with a clear definition of data contracts, explains why the data industry needs them, and shares real-world use cases of data contracts in production. In addition, you'll learn how to implement components of the data contract architecture and understand how they're used in the data lifecycle. Finally, you'll build a case for implementing data contracts in your organization.Authors Chad Sanderson and Mark Freeman will help you:Explore real-world applications of data contracts within the industryUnderstand how to apply each component of this architecture, such as CI/CD, monitoring, version control data, and moreLearn how to implement data contracts using open source toolsExamine ways to resolve data quality issues using data contract architectureMeasure the impact of implementing a data contract in your organizationDevelop a strategy to determine how data contracts will be used in your organization.

  • Language: English

    Published by O'Reilly Media, 2025

    109815763X / 9781098157630

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  • Language: English

    Published by O'Reilly Media, 2025

    109815763X / 9781098157630

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    paperback. Condition: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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    Language: English

    Published by O'Reilly Media, US, 2025

    109815763X / 9781098157630

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    Paperback. Condition: New. Poor data quality can cause major problems for data teams, from breaking revenue-generating data pipelines to losing the trust of data consumers. Despite the importance of data quality, many data teams still struggle to avoid these issues-especially when their data is sourced from upstream workflows outside of their control. The solution: data contracts. Data contracts enable high-quality, well-governed data assets by documenting expectations of the data, establishing ownership of data assets, and then automatically enforcing these constraints within the CI/CD workflow.This practical book introduces data contract architecture with a clear definition of data contracts, explains why the data industry needs them, and shares real-world use cases of data contracts in production. In addition, you'll learn how to implement components of the data contract architecture and understand how they're used in the data lifecycle. Finally, you'll build a case for implementing data contracts in your organization.Authors Chad Sanderson and Mark Freeman will help you:Explore real-world applications of data contracts within the industryUnderstand how to apply each component of this architecture, such as CI/CD, monitoring, version control data, and moreLearn how to implement data contracts using open source toolsExamine ways to resolve data quality issues using data contract architectureMeasure the impact of implementing a data contract in your organizationDevelop a strategy to determine how data contracts will be used in your organization.

  • Language: English

    Published by O'Reilly Media, 2025

    109815763X / 9781098157630

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  • Language: English

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  • Language: English

    Published by O'Reilly Media, 2025

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  • Language: English

    Published by O'Reilly Media, 2025

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    Condition: New. 1st edition NO-PA16APR2015-KAP.

  • Language: English

    Published by Oreilly & Associates Inc, 2025

    109815763X / 9781098157630

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    Paperback. Condition: Brand New. 350 pages. 9.19x7.00x9.19 inches. In Stock.

  • Language: English

    Published by O'Reilly Media, 2025

    109815763X / 9781098157630

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  • Language: English

    Published by O'Reilly Media, US, 2025

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    Paperback. Condition: New. Poor data quality can cause major problems for data teams, from breaking revenue-generating data pipelines to losing the trust of data consumers. Despite the importance of data quality, many data teams still struggle to avoid these issues-especially when their data is sourced from upstream workflows outside of their control. The solution: data contracts. Data contracts enable high-quality, well-governed data assets by documenting expectations of the data, establishing ownership of data assets, and then automatically enforcing these constraints within the CI/CD workflow.This practical book introduces data contract architecture with a clear definition of data contracts, explains why the data industry needs them, and shares real-world use cases of data contracts in production. In addition, you'll learn how to implement components of the data contract architecture and understand how they're used in the data lifecycle. Finally, you'll build a case for implementing data contracts in your organization.Authors Chad Sanderson and Mark Freeman will help you:Explore real-world applications of data contracts within the industryUnderstand how to apply each component of this architecture, such as CI/CD, monitoring, version control data, and moreLearn how to implement data contracts using open source toolsExamine ways to resolve data quality issues using data contract architectureMeasure the impact of implementing a data contract in your organizationDevelop a strategy to determine how data contracts will be used in your organization.

  • Language: English

    Published by O'Reilly Media, 2025

    109815763X / 9781098157630

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  • Language: English

    Published by O'Reilly Media, US, 2025

    109815763X / 9781098157630

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    Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK

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    Paperback. Condition: New. Poor data quality can cause major problems for data teams, from breaking revenue-generating data pipelines to losing the trust of data consumers. Despite the importance of data quality, many data teams still struggle to avoid these issues-especially when their data is sourced from upstream workflows outside of their control. The solution: data contracts. Data contracts enable high-quality, well-governed data assets by documenting expectations of the data, establishing ownership of data assets, and then automatically enforcing these constraints within the CI/CD workflow.This practical book introduces data contract architecture with a clear definition of data contracts, explains why the data industry needs them, and shares real-world use cases of data contracts in production. In addition, you'll learn how to implement components of the data contract architecture and understand how they're used in the data lifecycle. Finally, you'll build a case for implementing data contracts in your organization.Authors Chad Sanderson and Mark Freeman will help you:Explore real-world applications of data contracts within the industryUnderstand how to apply each component of this architecture, such as CI/CD, monitoring, version control data, and moreLearn how to implement data contracts using open source toolsExamine ways to resolve data quality issues using data contract architectureMeasure the impact of implementing a data contract in your organizationDevelop a strategy to determine how data contracts will be used in your organization.

  • Language: English

    Published by Oreilly & Associates Inc, 2025

    109815763X / 9781098157630

    • Softcover
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    Seller: Revaluation Books, Exeter, United KingdomRevaluation Books

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    Paperback. Condition: Brand New. 350 pages. 9.19x7.00x9.19 inches. In Stock. This item is printed on demand.