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Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. Redacting Sensitive Data with the DLP API

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What's inside

Syllabus

Redacting Sensitive Data with the DLP API

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces the Data Loss Prevention API, which helps students redact and manage sensitive data

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Redacting Sensitive Data with the DLP API with these activities:
Create a DLP Resource Collection
This collection will help you to stay up-to-date on the latest DLP news and developments.
Browse courses on DLP
Show steps
  • Find articles, blog posts, and other resources about DLP.
  • Organize the resources in a way that makes sense to you.
  • Review the resources regularly to stay up-to-date on the latest DLP news and developments.
Join a DLP Study Group
This study group will provide you with the opportunity to learn from and collaborate with other students who are interested in DLP.
Browse courses on DLP
Show steps
  • Find a DLP study group that interests you.
  • Join the study group and participate in the discussions.
  • Share your knowledge and experience with other members of the study group.
Attend a DLP Workshop
This workshop will provide you with the opportunity to learn more about DLP from experts in the field.
Browse courses on DLP
Show steps
  • Find a DLP workshop that interests you.
  • Register for the workshop.
  • Attend the workshop and participate in the discussions.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Review Applied Cryptography
This book will help you understand the concepts of cryptography and how to apply them in real-world scenarios.
Show steps
  • Read each chapter thoroughly, taking notes as you go.
  • Complete the exercises at the end of each chapter.
  • Implement some of the algorithms described in the book.
Practice Redacting Data with the DLP API
These practice drills will help you develop the skills you need to redact data with the DLP API.
Browse courses on DLP
Show steps
  • Complete the practice drills in the DLP API documentation.
  • Write your own code to redact data with the DLP API.
  • Test your code to make sure it is working properly.
Build a Simple DLP System in Python
This tutorial will provide you with the hands-on experience you need to build a simple DLP system in Python.
Browse courses on DLP
Show steps
  • Follow the steps in the tutorial to build the DLP system.
  • Test the DLP system to make sure it is working properly.
  • Extend the DLP system to add new features, such as the ability to redact data.
Write a Blog Post About DLP Best Practices
This activity will help you to share your knowledge of DLP with others and to solidify your understanding of the subject.
Browse courses on DLP
Show steps
  • Research DLP best practices.
  • Write a blog post about your findings.
  • Publish your blog post and share it with others.

Career center

Learners who complete Redacting Sensitive Data with the DLP API will develop knowledge and skills that may be useful to these careers:
Data Protection Specialist
Data Protection Specialists help organizations to protect their data from breaches and ensure compliance with data protection regulations. They need to be familiar with the different types of data and how to protect it. Redacting Sensitive Data with the DLP API can help you learn how to use the Data Loss Prevention API to redact sensitive data. This skill can be helpful in protecting your organization from data breaches and ensuring compliance with data protection regulations.
Privacy Analyst
Privacy Analysts help organizations to comply with privacy laws and regulations. They need to be familiar with the different types of personal data and how to protect it. Redacting Sensitive Data with the DLP API can help you learn how to use the Data Loss Prevention API to redact sensitive data. This skill can be helpful in protecting your organization from data breaches and ensuring compliance with privacy regulations.
Information Security Manager
Information Security Managers are responsible for overseeing the security of an organization's information systems. They need to be familiar with the latest security threats and trends. Redacting Sensitive Data with the DLP API can help you learn how to use the Data Loss Prevention API to redact sensitive data. This skill can be helpful in protecting your organization from data breaches and ensuring compliance with data protection regulations.
Security Architect
Security Architects design and implement security solutions for organizations. They need to be familiar with the latest security threats and trends. Redacting Sensitive Data with the DLP API can help you learn how to use the Data Loss Prevention API to redact sensitive data. This skill can be helpful in protecting your organization from data breaches and ensuring compliance with data protection regulations.
Privacy Consultant
Privacy Consultants help organizations to comply with privacy laws and regulations. They need to be familiar with the different types of personal data and how to protect it. Redacting Sensitive Data with the DLP API can help you learn how to use the Data Loss Prevention API to redact sensitive data. This skill can be helpful in helping your clients to protect their data from breaches and ensure compliance with privacy regulations.
Data Privacy Analyst
Data Privacy Analysts help organizations to comply with privacy laws and regulations. They need to be familiar with the different types of personal data and how to protect it. Redacting Sensitive Data with the DLP API can help you learn how to use the Data Loss Prevention API to redact sensitive data. This skill can be helpful in protecting your organization from data breaches and ensuring compliance with privacy regulations.
Security Consultant
Security Consultants help organizations to improve their security posture. They need to be familiar with the latest security threats and trends. Redacting Sensitive Data with the DLP API can help you learn how to use the Data Loss Prevention API to redact sensitive data. This skill can be helpful in helping your clients to protect their data from breaches and ensure compliance with data protection regulations.
Data Governance Analyst
Data Governance Analysts help organizations to manage their data in a way that is consistent with their business objectives. They need to be familiar with the different types of data and how to protect it. Redacting Sensitive Data with the DLP API can help you learn how to use the Data Loss Prevention API to redact sensitive data. This skill can be helpful in protecting your organization from data breaches and ensuring compliance with data protection regulations.
Data Protection Officer
Data Protection Officers are responsible for developing and implementing an organization's data protection strategy. They need to be familiar with federal and state laws regarding data protection and privacy. Redacting Sensitive Data with the DLP API can help you learn how to use the Data Loss Prevention API to redact sensitive data. This skill can be helpful in protecting your organization from data breaches and ensuring compliance with data protection regulations.
Information Governance Analyst
Information Governance Analysts help organizations to manage their information in a way that is consistent with their business objectives. They need to be familiar with the different types of data and how to protect it. Redacting Sensitive Data with the DLP API can help you learn how to use the Data Loss Prevention API to redact sensitive data. This skill can be helpful in protecting your organization from data breaches and ensuring compliance with data protection regulations.
Data Steward
Data Stewards are responsible for managing the data assets of an organization. They need to be familiar with the different types of data and how to protect it. Redacting Sensitive Data with the DLP API can help you learn how to use the Data Loss Prevention API to redact sensitive data. This skill can be helpful in protecting your organization from data breaches and ensuring compliance with data protection regulations.
Risk Analyst
Risk Analysts help organizations to identify and manage risks. They need to be familiar with the different types of risks that can affect an organization. Redacting Sensitive Data with the DLP API can help you learn how to use the Data Loss Prevention API to redact sensitive data. This skill can be helpful in protecting your organization from data breaches and ensuring compliance with data protection regulations.
Information Security Analyst
Information Security Analysts plan and implement security measures to protect an organization's computer networks and systems. Security analysts need to be familiar with federal and state laws regarding data protection and privacy. Redacting Sensitive Data with the DLP API can help you learn how to use the Data Loss Prevention API to redact sensitive data. This skill can be helpful in protecting your organization from data breaches and ensuring compliance with data protection regulations.
Compliance Analyst
Compliance Analysts help organizations to comply with laws and regulations. They need to be familiar with the different types of laws and regulations that apply to their organization. Redacting Sensitive Data with the DLP API can help you learn how to use the Data Loss Prevention API to redact sensitive data. This skill can be helpful in protecting your organization from data breaches and ensuring compliance with laws and regulations.
Auditor
Auditors evaluate the financial and operational performance of organizations. They need to be familiar with the different types of audits that can be performed. Redacting Sensitive Data with the DLP API can help you learn how to use the Data Loss Prevention API to redact sensitive data. This skill can be helpful in ensuring the accuracy and completeness of financial and operational information.

Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Redacting Sensitive Data with the DLP API.
Provides a comprehensive overview of data protection, including best practices for protecting sensitive data. It covers topics such as data encryption, access control, and incident response.
Explores the complex relationship between privacy and technology. It provides insights into how people's attitudes and behaviors towards privacy have changed in the digital age.
Provides a comprehensive overview of security engineering, including best practices for building dependable distributed systems. It covers topics such as threat modeling, access control, and cryptography.
Classic work on the right to privacy. It provides a historical and philosophical overview of the concept of privacy, and it explores the legal and ethical issues surrounding the protection of personal data.
Provides a detailed guide to social engineering, including best practices for protecting yourself from social engineering attacks. It covers topics such as phishing, pretexting, and tailgating.
Provides a practical guide to data protection for businesses. It valuable resource for anyone who wants to learn how to comply with data protection laws and regulations.
Provides a comprehensive overview of cloud security, including best practices for protecting cloud data. It covers topics such as cloud security architecture, cloud security controls, and cloud security monitoring.
Provides a detailed guide to hacking, including best practices for protecting yourself from hacking attacks. It covers topics such as network security, web security, and social engineering.
Provides a comprehensive overview of data warehousing, including best practices for designing and implementing data warehouses. It covers topics such as data warehouse architecture, data warehouse design, and data warehouse implementation.
Provides a comprehensive overview of data mining, including best practices for mining data. It covers topics such as data mining algorithms, data mining techniques, and data mining applications.
Provides a comprehensive overview of machine learning, including best practices for using machine learning algorithms. It covers topics such as machine learning algorithms, machine learning models, and machine learning applications.
Provides a comprehensive overview of deep learning, including best practices for developing deep learning models. It covers topics such as deep learning algorithms, deep learning architectures, and deep learning applications.

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