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Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn the basic capabilities of Cloud Data Loss Prevention and the various ways it can be used to protect data.

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What's inside

Syllabus

Redacting Sensitive Data with Cloud Data Loss Prevention

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Reinforces foundational knowledge of Cloud Data Loss Prevention fundamentals and tools
Taught by Google Cloud Training, who are recognized for their expertise in cloud computing technologies
Develops the core skill of protecting sensitive data in various ways using Cloud Data Loss Prevention
Provides real-world applications of data protection and privacy through practical, hands-on lab exercises in Google Cloud console
Suitable for learners navigating data protection industry practices and working with data privacy regulations
May require some prior knowledge of data privacy concepts or cloud computing principles for a comprehensive learning experience

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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 Cloud Data Loss Prevention with these activities:
Review concepts of data security and privacy
Strengthen foundational knowledge by reviewing fundamental concepts related to data security and privacy to enhance understanding of data protection techniques.
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  • Study data security frameworks and standards.
  • Review principles of data privacy regulations.
  • Explore best practices for data handling and storage.
Review Python basics
Review basic Python skills to strengthen the foundational understanding needed to succeed in this course.
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  • Review variables, data types, and operators.
  • Practice writing simple Python scripts.
  • Take an online Python quiz or assessment.
Complete Google Cloud Data Loss Prevention tutorials
Follow official Google Cloud tutorials to gain hands-on experience with the features and capabilities of Cloud Data Loss Prevention.
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  • Set up a GCP project.
  • Create a Cloud Data Loss Prevention instance.
  • Inspect sample data using the Data Loss Prevention API.
Six other activities
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Provide guidance to fellow learners in course forums
Reinforce your understanding of course concepts by actively engaging with other learners and providing support in course forums.
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  • Identify questions or discussions.
  • Provide thoughtful and informative responses.
  • Share your knowledge and experience.
Assemble a resource library on data protection best practices
Curate a collection of valuable resources to enhance your understanding of data protection best practices and stay updated with industry trends.
Browse courses on Data Protection
Show steps
  • Gather articles, whitepapers, and case studies.
  • Organize resources into relevant categories.
  • Share the resource library with fellow learners or industry professionals.
Conduct mock data protection assessments
Simulate real-world data protection scenarios by conducting mock assessments to identify and mitigate potential data exposure risks.
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  • Define the scope and objectives of the assessment.
  • Identify and classify sensitive data.
  • Develop and implement remediation plans to address data exposure risks.
Participate in open-source data protection projects
Gain practical experience and contribute to the data protection community by participating in open-source projects related to data protection.
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  • Identify relevant open-source projects.
  • Review project documentation and codebase.
  • Contribute bug fixes, feature enhancements, or documentation.
Design a data protection strategy for a specific use case
Apply the concepts learned in the course to a practical scenario by designing a comprehensive data protection strategy for a specific use case.
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  • Identify business requirements and data protection objectives.
  • Assess potential data exposure risks.
  • Select and implement appropriate data protection controls.
  • Develop a data protection policy and procedures.
Build a data protection dashboard for a simulated environment
Apply your knowledge to a practical project by designing and implementing a data protection dashboard to monitor and manage data security and privacy in a simulated environment.
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  • Define dashboard requirements and metrics.
  • Select and integrate data sources.
  • Design and develop dashboard visualizations.
  • Implement alerts and notifications.

Career center

Learners who complete Redacting Sensitive Data with Cloud Data Loss Prevention will develop knowledge and skills that may be useful to these careers:
Data Loss Prevention Analyst
A Data Loss Prevention Analyst is responsible for protecting sensitive data within an organization. This role requires knowledge of data protection regulations and the use of tools to prevent data breaches. The Redacting Sensitive Data with Cloud Data Loss Prevention course can help you develop the skills needed to be successful in this role, such as how to identify and classify sensitive data, and how to implement data protection measures. This course is particularly relevant for those interested in a career in data security or information governance.
Privacy Engineer
A Privacy Engineer is responsible for designing and implementing privacy controls within an organization. This role requires knowledge of privacy regulations and the use of tools to protect personal data. The Redacting Sensitive Data with Cloud Data Loss Prevention course can help you develop the skills needed to be successful in this role, such as how to conduct privacy impact assessments and how to implement data minimization techniques. This course is particularly relevant for those interested in a career in data protection or privacy law.
Information Security Analyst
An Information Security Analyst is responsible for protecting an organization's information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. This role requires knowledge of security vulnerabilities and the use of tools to prevent and detect security breaches. The Redacting Sensitive Data with Cloud Data Loss Prevention course can help you develop the skills needed to be successful in this role, such as how to identify and classify sensitive data, and how to implement data protection measures.
Cloud Security Engineer
A Cloud Security Engineer is responsible for securing an organization's cloud infrastructure. This role requires knowledge of cloud security best practices and the use of tools to protect cloud resources. The Redacting Sensitive Data with Cloud Data Loss Prevention course can help you develop the skills needed to be successful in this role, such as how to identify and classify sensitive data in the cloud, and how to implement data protection measures in the cloud.
Data Governance Specialist
A Data Governance Specialist is responsible for developing and implementing data governance policies and procedures within an organization. This role requires knowledge of data management best practices and the use of tools to manage and protect data. The Redacting Sensitive Data with Cloud Data Loss Prevention course can help you develop the skills needed to be successful in this role, such as how to identify and classify sensitive data, and how to implement data protection measures.
Data Protection Officer
A Data Protection Officer is responsible for overseeing an organization's compliance with data protection regulations. This role requires knowledge of data protection laws and the use of tools to protect data. The Redacting Sensitive Data with Cloud Data Loss Prevention course can help you develop the skills needed to be successful in this role, such as how to identify and classify sensitive data, and how to implement data protection measures. This course is particularly relevant for those interested in a career in data protection or privacy law.
Forensic Analyst
A Forensic Analyst is responsible for investigating and analyzing computer systems to uncover evidence of criminal activity. This role requires knowledge of computer forensics techniques and the use of tools to collect and analyze evidence. The Redacting Sensitive Data with Cloud Data Loss Prevention course may be useful for those interested in a career in forensic analysis, as it can help develop skills in identifying and classifying sensitive data, and in understanding how data can be protected.
Security Auditor
A Security Auditor is responsible for evaluating an organization's security posture and identifying vulnerabilities. This role requires knowledge of security auditing techniques and the use of tools to assess security risks. The Redacting Sensitive Data with Cloud Data Loss Prevention course may be useful for those interested in a career in security auditing, as it can help develop skills in identifying and classifying sensitive data, and in understanding how data can be protected.
Data Scientist
A Data Scientist is responsible for using data to solve business problems. This role requires knowledge of data analysis techniques and the use of tools to manage and analyze data. The Redacting Sensitive Data with Cloud Data Loss Prevention course may be useful for those interested in a career in data science, as it can help develop skills in identifying and classifying sensitive data, and in understanding how data can be protected.
Data Engineer
A Data Engineer is responsible for designing and building data pipelines. This role requires knowledge of data engineering techniques and the use of tools to manage and analyze data. The Redacting Sensitive Data with Cloud Data Loss Prevention course may be useful for those interested in a career in data engineering, as it can help develop skills in identifying and classifying sensitive data, and in understanding how data can be protected.
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software applications. This role requires knowledge of software engineering principles and the use of programming languages. The Redacting Sensitive Data with Cloud Data Loss Prevention course may be useful for those interested in a career in software engineering, as it can help develop skills in identifying and classifying sensitive data, and in understanding how data can be protected.
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. This role requires knowledge of database management systems and the use of tools to manage and analyze data. The Redacting Sensitive Data with Cloud Data Loss Prevention course may be useful for those interested in a career in database administration, as it can help develop skills in identifying and classifying sensitive data, and in understanding how data can be protected.
Network Administrator
A Network Administrator is responsible for managing and maintaining computer networks. This role requires knowledge of network technologies and the use of tools to manage and analyze networks. The Redacting Sensitive Data with Cloud Data Loss Prevention course may be useful for those interested in a career in network administration, as it can help develop skills in identifying and classifying sensitive data, and in understanding how data can be protected.
Security Analyst
A Security Analyst is responsible for monitoring and analyzing security events. This role requires knowledge of security monitoring tools and techniques. The Redacting Sensitive Data with Cloud Data Loss Prevention course may be useful for those interested in a career in security analysis, as it can help develop skills in identifying and classifying sensitive data, and in understanding how data can be protected.
Systems Administrator
A Systems Administrator is responsible for managing and maintaining computer systems. This role requires knowledge of system administration tools and techniques. The Redacting Sensitive Data with Cloud Data Loss Prevention course may be useful for those interested in a career in systems administration, as it can help develop skills in identifying and classifying sensitive data, and in understanding how data can be protected.

Reading list

We've selected six 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 Cloud Data Loss Prevention.
Explains the challenges and solutions for protecting big data, including data anonymization and encryption techniques. Discusses privacy regulations and compliance requirements, and provides guidance on developing a data protection strategy.
The official guide to the EU General Data Protection Regulation (GDPR), providing a comprehensive overview of its requirements and implications. Includes practical guidance on how to comply with the regulation.
A legal textbook that provides a comprehensive overview of privacy and data protection law. Covers topics such as data protection principles, privacy rights, and data breach liability.
Provides a comprehensive overview of privacy issues in the digital age. It covers topics such as data collection, dataveillance, and the right to privacy.
Provides a comprehensive overview of privacy issues in the digital age. It covers topics such as data collection, dataveillance, and the right to privacy.

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