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The Self-Taught Cloud Computing Engineer

You're reading from  The Self-Taught Cloud Computing Engineer

Product type Book
Published in Sep 2023
Publisher Packt
ISBN-13 9781805123705
Pages 472 pages
Edition 1st Edition
Languages
Author (1):
Dr. Logan Song Dr. Logan Song
Profile icon Dr. Logan Song

Table of Contents (24) Chapters

Preface 1. Part 1: Learning about the Amazon Cloud
2. Chapter 1: Amazon EC2 and Compute Services 3. Chapter 2: Amazon Cloud Storage Services 4. Chapter 3: Amazon Networking Services 5. Chapter 4: Amazon Database Services 6. Chapter 5: Amazon Data Analytics Services 7. Chapter 6: Amazon Machine Learning Services 8. Chapter 7: Amazon Cloud Security Services 9. Part 2:Comprehending GCP Cloud Services
10. Chapter 8: Google Cloud Foundation Services 11. Chapter 9: Google Cloud’s Database and Big Data Services 12. Chapter 10: Google Cloud AI Services 13. Chapter 11: Google Cloud Security Services 14. Part 3:Mastering Azure Cloud Services
15. Chapter 12: Microsoft Azure Cloud Foundation Services 16. Chapter 13: Azure Cloud Database and Big Data Services 17. Chapter 14: Azure Cloud AI Services 18. Chapter 15: Azure Cloud Security Services 19. Part 4:Developing a Successful Cloud Career
20. Chapter 16: Achieving Cloud Certifications 21. Chapter 17: Building a Successful Cloud Computing Career 22. Index 23. Other Books You May Enjoy

Google Cloud data security

GCP offers a robust set of security features to protect customer data. Many of the data security services are based on basic data security enablement. We will start with data classification.

Data classification and data lineage

Industry data security best practices recommend starting with a classification standard and then assigning a data/resource owner to identify each data resource’s classification. We recommend utilizing data classification and maintaining a unified level of permissions on GCP projects and resources, to prevent misconfigurations and unauthorized access to sensitive information.

Data lineage is the practice of tracking the data origin, what happened to it, and where it moves over time. Data provenance can be defined as the origins, custody, and ownership of data. It is the documentation of where a piece of data comes from and the processes/methodology by which it was produced. Establishing a data labeling/tagging standard...

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