We may earn an affiliate commission when you visit our partners.
Google Cloud Training
Register for this course and see more details by visiting:
OpenCourser.com/course/7bn6qm/gouvernance
Here's a deal for you
Save money when you learn with a deal that may be relevant to this course.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Get offer
What's inside
Syllabus
Save this course
Create your own learning path.
Save this course to your list so you can find it easily later.
Save
Save
Activities
Coming soon
We're preparing activities for
Gouvernance des données Google Workspace.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Gouvernance des données Google Workspace will develop knowledge and skills
that may be useful to these careers:
For more career information including salaries, visit:
OpenCourser.com/course/7bn6qm/gouvernance
Reading list
We haven't picked any books for this reading list yet.
Save
Dives into the crucial role of data stewards in a data governance program. It provides actionable guidance on setting up and running a data stewardship effort, including organizing, training, and working with data stewards. The second edition is updated for the Big Data era and international business considerations.
Save
Focusing specifically on data quality, a critical component of data governance, this book offers practical guidance for starting and advancing a data quality program. It addresses common data quality problems and outlines steps for improvement. It's a useful reference for understanding the 'why' and 'how' of data quality management.
Provides a guide to data governance for business leaders, covering topics such as the importance of data governance, the benefits of data governance, and the challenges of data governance. It good resource for business leaders who want to learn more about data governance or improve their data governance practices.
Provides a practical guide to data management and analytics, covering topics such as data strategy, data quality, data security, and data privacy. It good resource for anyone who wants to learn more about data governance or improve their data governance practices.
Save
This is widely considered the authoritative guide to data management, with data governance at its core. It provides a comprehensive framework, standard definitions, and best practices for various data management functions. It is an essential reference tool for anyone serious about the field and is often used as a foundational text in academic and professional settings.
Offers a practical and accessible approach to data governance by focusing on leveraging existing organizational activities. It emphasizes making progress without striving for immediate perfection, making it valuable for those new to implementing governance programs. It's highly recommended for its plain language and actionable advice.
Save
A classic in the field, this book provides a comprehensive overview of the data governance lifecycle. It's an excellent starting point for understanding how to design, deploy, and maintain a successful data governance program within an organization. While published in 2012, its foundational principles remain highly relevant.
This practical guide focuses on implementing and scaling data governance effectively. It covers strategy, tooling, data democratization, security, privacy, and improving data quality. It valuable resource for understanding how to operationalize data trustworthiness from ingest to use.
Provides insights into the evolving role of the Chief Data Officer, a key figure in driving data governance initiatives. It offers practical guidance for CDOs and those working with them, covering data strategy, team building, and the CDO's relationship with data governance. The second edition includes updated perspectives on the CDO landscape.
A follow-up to the popular 'Non-Invasive Data Governance,' this book offers further experience and perspective on implementing data governance with minimal disruption. It reinforces the practical approach of recognizing and formalizing existing data-related activities. It's valuable for those looking to deepen their understanding of the non-invasive methodology.
Save
Given the strong link between data governance and data privacy, this book is highly relevant. It provides practical guidance for engineers on designing and implementing scalable privacy programs, navigating the trade-offs between security and business needs. It covers classifying data, building tools for data discovery, and implementing technical privacy controls.
Offers a practical exploration of approaches to data privacy for technologists. It introduces fundamental concepts and provides examples and code snippets for implementing privacy in practice. It's a valuable resource for understanding how to integrate privacy into data systems, addressing a key contemporary topic in data governance.
Challenges traditional approaches to data governance and offers a fresh perspective for the modern era. It aims to redefine governance to support data usage rather than restrict it. It's particularly useful for business leaders and team leaders seeking to improve their understanding of contemporary data governance expectations.
Written by an experienced Chief Data Officer, this handbook provides an exhaustive guide to understanding data governance, its components, and positioning solutions for tangible business outcomes. It covers the entire lifecycle of a data governance program with a focus on practical implementation and value creation.
Addressing the crucial aspect of data quality within data governance, this book provides techniques to define and assess data quality and ensure effective data collection practices. It's valuable for data professionals dealing with the 'good pipelines, bad data' problem and seeking to build data trust at scale.
Offers a step-by-step guide to building a data governance strategy from scratch. It focuses on creating a cross-functional strategy, building a data governance team, and embedding governance into development processes. It's a practical resource for establishing a data-driven culture.
Save
Given the strong regulatory landscape surrounding data, this book provides clear guidance on data protection, privacy, and information law, including GDPR and the Data Protection Act 2018. It's essential for understanding the legal context of data governance and compliance.
Demystifies data governance through pragmatic advice based on real-world experience and research. It offers a case-based approach to understanding and implementing data governance frameworks, making it a practical guide for practitioners facing the complexities of the field.
Addresses data stewardship in the context of open science and the FAIR principles (Findable, Accessible, Interoperable, Reusable). It highlights the need for effective data stewardship in modern research and provides guidance for scientists and data professionals in this domain.
Provides a comprehensive overview of data governance, covering topics such as data strategy, data quality, data security, and data privacy. It valuable resource for anyone who wants to learn more about data governance or improve their data governance practices.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/7bn6qm/gouvernance
Share
Similar courses
Similar courses are unavailable at this time. Please try again later.
Effort
1 week of study, 6-8 hours
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Session
October 27, 2025
- November 10, 2025
Language
Français
Transcript
English
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2025 OpenCourser