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Mastering Tableau 2023

You're reading from   Mastering Tableau 2023 Implement advanced business intelligence techniques, analytics, and machine learning models with Tableau

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Product type Paperback
Published in Aug 2023
Publisher Packt
ISBN-13 9781803233765
Length 684 pages
Edition 4th Edition
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Author (1):
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Marleen Meier Marleen Meier
Author Profile Icon Marleen Meier
Marleen Meier
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Table of Contents (19) Chapters Close

Preface 1. Reviewing the Basics 2. Getting Your Data Ready FREE CHAPTER 3. Using Tableau Prep Builder 4. Learning about Joins, Blends, and Data Structures 5. Introducing Table Calculations 6. Utilizing OData, Data Densification, Big Data, and Google BigQuery 7. Practicing Level of Detail Calculations 8. Going Beyond the Basics 9. Working with Maps 10. Presenting with Tableau 11. Designing Dashboards and Best Practices for Visualizations 12. Leveraging Advanced Analytics 13. Improving Performance 14. Exploring Tableau Server and Tableau Cloud 15. Integrating Programming Languages 16. Developing Data Governance Practices 17. Other Books You May Enjoy
18. Index

Data governance principles

If you are planning to work on data governance, you should know that data governance principles are typically the heart and soul of the entire endeavor. To illustrate this, let’s examine the seven principles outlined in the GDPR (https://gdpr-info.eu/) as an example and explore how Tableau can be employed to enforce them effectively:

  • Lawfulness, fairness, and transparency
  • Purpose limitation
  • Data minimization
  • Accuracy
  • Storage limitations
  • Integrity and confidentiality
  • Accountability

Lawfulness, fairness, and transparency

This mandates that personal information collected for providing goods or services must be obtained lawfully and fairly, with individuals informed about the purpose of its use. Furthermore, personal information can only be collected with the explicit consent of the individuals, and a record of this consent must be kept.

Purpose limitation

Personal information should...

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