Implement Data Auditing with Azure Data Lake from Pluralsight

This course will teach you data auditing, data masking, and encrypting data at rest and in transit on azure cloud. Planning secure endpoints, data retention, and archiving strategy we will be implementing in place using the azure cloud portal.

Sensitive data masking should be of prime importance for efficient data governance models to be followed. In this course, Implement Data Auditing with Azure Data Lake, you’ll learn to apply efficient encryption, data masking, and secure endpoints over Azure Cloud Portal for specific services. First, you’ll explore how to design security for source data access. Next, you’ll discover designing security for data policies and standards. Finally, you’ll learn how to authenticate the service principle to mount data lake on Azure DataBricks. When you’re finished with this course, you’ll have the skills and knowledge of the importance of data masking, efficient encryption policies, management of key Vault, and policy-driven data lake architecture.

In this course, you will learn about data masking, data encryption, how to secure endpoints over cloud, and the key benefits of endpoint security.

Before taking this course, you should be familiar with the basics of Azure Cloud.

Data masking is the process of hiding original data with modified figures. The main use of data masking is to protect classified or sensisitve data.

Data encyption is a security method that translates data into another form or code so that only people with access to the decryption key or password can access and read the data. Data encryption is primarily used to protect digital data from malicious or negligent parties.

Endpoint security is the practice of securing endpoints or entry points of end-user devices such as a desktop, laptop, or mobile device from being exploited by malicious attacks.

What's inside

Syllabus

Course Overview

Implementing Data Masking

Implementing Data Encryption and Authorization

Designing a Solution with Secure Endpoints

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers industry best practices, such as Data Lake Architecture and Encryption Policies and Standards, which are crucial for efficient data management in the cloud

Teaches core enterprise cloud security concepts like data masking, data encryption, and secure endpoints, which are essential for organizations handling sensitive data

Provides hands-on experience through labs and interactive materials, enabling learners to apply their newfound knowledge practically

Suitable for IT professionals, cloud architects, and security analysts who seek to enhance their skills in data security on Azure Cloud

Requires learners to have a basic understanding of Azure Cloud to fully grasp the concepts covered in the course

Taught by Tapan Ghatalia, an instructor with expertise in data security and cloud computing

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 Implement Data Auditing with Azure Data Lake with these activities:

Organize Course Materials and Notes

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Enhance your learning by organizing course materials and notes, creating a cohesive and easily accessible study resource.

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Create a dedicated folder or notebook for course materials.
Categorize and label materials based on topics and sections.
Summarize key points and add your own notes.

Review key encryption concepts

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Reviewing key encryption concepts will help you solidify your understanding of the basics and prepare you for the more advanced topics covered in the course.

Browse courses on Data Encryption

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Read through the documentation on Azure Key Vault
Set up a practice environment to experiment with encryption and decryption techniques
Try encrypting and decrypting data using different encryption algorithms

Review Azure Data Security Best Practices

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Strengthen your foundation by reviewing Azure Data Security best practices, ensuring a solid understanding of key principles.

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Refer to Microsoft documentation and whitepapers on Azure Data Security.
Read industry blogs and articles on Azure Data Security best practices.
Attend webinars or online sessions on Azure Data Security.

Eight other activities

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Attend Azure Data Security Meetups

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Expand your knowledge and network by attending Azure Data Security meetups, connecting with industry professionals and learning from shared experiences.

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Identify relevant Azure Data Security meetups in your area.
Attend meetups and actively participate in discussions.
Exchange ideas and insights with other attendees.

Explore Best Practices for Endpoint Security

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Gain valuable insights by following guided tutorials on endpoint security best practices, improving the protection of your Azure Cloud environment.

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Identify reputable sources for endpoint security tutorials.
Follow step-by-step instructions to configure endpoint protection.
Test and validate the effectiveness of implemented security measures.

Follow tutorials on implementing data masking in Azure

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Following tutorials will provide you with hands-on experience in implementing data masking techniques, which is essential for protecting sensitive data in your applications.

Browse courses on Data Masking

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Find tutorials that cover data masking in Azure, such as the ones provided by Microsoft Docs
Follow the steps in the tutorials to implement data masking in your own Azure environment
Test the effectiveness of the data masking techniques you implemented

Practice Implementing and Testing Data Masks

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Solidify your understanding of implementing and testing data masks for improved data protection.

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Set up a test environment in Azure.
Create a data source and apply a data mask.
Query the masked data and verify that it's protected.

Participate in Azure Data Security Workshops

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Enhance your skills and knowledge by attending Azure Data Security workshops, gaining hands-on experience and guidance from experts.

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Identify and register for relevant Azure Data Security workshops.
Actively participate in workshop sessions and exercises.
Ask questions and engage with instructors and peers.

Design a Data Encryption and Authorization Solution

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Develop a comprehensive plan for encrypting and authorizing data in your Azure Cloud environment, enhancing data protection.

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Analyze data sensitivity and identify encryption requirements.
Design an encryption strategy using Azure Key Vault.
Create a detailed authorization plan for data access.
Test and implement the encryption and authorization solution.

Practice designing secure endpoints for Azure applications

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Practicing the design of secure endpoints will help you develop the skills necessary to protect your applications from attacks.

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Identify the potential security risks associated with different endpoint designs
Design and implement secure endpoints for Azure applications using best practices
Test the security of your endpoint designs using penetration testing or other security assessment techniques

Implement a Data Masking and Encryption Solution in a Real-World Scenario

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Apply your knowledge by implementing a comprehensive data masking and encryption solution in a real-world scenario, solidifying your skills.

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Choose a project with sensitive data that requires protection.
Design and implement a data masking solution.
Design and implement a data encryption solution.
Test and evaluate the effectiveness of the implemented solution.
Document and share your learnings with others.

Career center

Learners who complete Implement Data Auditing with Azure Data Lake will develop knowledge and skills that may be useful to these careers:

Data Protection Officer

Data Protection Officers oversee an organization's compliance with data protection laws and regulations. They may develop and implement data protection policies, procedures, and standards. This course may be useful for new Data Protection Officers by providing them with a comprehensive understanding of data security best practices.

See salaries and explore the career path for Data Protection Officer

Privacy Auditor

Privacy Auditors assess an organization's compliance with data privacy laws and regulations. They may also develop and implement data privacy policies, procedures, and standards. This course may be useful for new Privacy Auditors by providing them with a comprehensive understanding of data security best practices.

See salaries and explore the career path for Privacy Auditor

Data Privacy Manager

Data Privacy Managers are responsible for developing and implementing an organization's data privacy program. They may also oversee the organization's compliance with data privacy laws and regulations. This course may be useful for new Data Privacy Managers by providing them with a comprehensive understanding of data security best practices, including data masking, data encryption, and secure endpoints.

See salaries and explore the career path for Data Privacy Manager

Data Security Analyst

Data Security Analysts protect an organization's data from unauthorized access, use, disclosure, disruption, modification, or destruction. They may develop and implement data security policies, procedures, and standards. This course may be helpful for new Data Security Analysts by providing them with a solid foundation in data security best practices, including data masking, data encryption, and secure endpoints.

See salaries and explore the career path for Data Security Analyst

Risk and Compliance Manager

Risk and Compliance Managers are responsible for identifying, assessing, and mitigating risks to an organization. They may also develop and implement risk management and compliance policies, procedures, and standards. This course may be useful for new Risk and Compliance Managers by providing them with a solid foundation in data security best practices, including data masking, data encryption, and secure endpoints.

See salaries and explore the career path for Risk and Compliance Manager

Cybersecurity Analyst

Cybersecurity Analysts protect an organization's computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. They may also develop and implement cybersecurity policies, procedures, and standards. This course may be useful for new Cybersecurity Analysts by providing them with a strong foundation in data security best practices, including data masking, data encryption, and secure endpoints.

See salaries and explore the career path for Cybersecurity Analyst

Information Security Analyst

Information Security Analysts protect an organization's information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. They may develop and implement information security policies, procedures, and standards. This course may be useful for new Information Security Analysts by providing them with a strong foundation in data security best practices, including data masking, data encryption, and secure endpoints.

See salaries and explore the career path for Information Security Analyst

Cloud Security Engineer

Cloud Security Engineers protect an organization's cloud computing resources from unauthorized access, use, disclosure, disruption, modification, or destruction. They may also develop and implement cloud security policies, procedures, and standards. This course may be useful for new Cloud Security Engineers by providing them with a strong foundation in data security best practices, including data masking, data encryption, and secure endpoints.

See salaries and explore the career path for Cloud Security Engineer

Data Privacy Analyst

Data Privacy Analysts conduct assessments on organizational data to ensure privacy is maintained. They may also define data security policies and procedures, and implement and manage data privacy programs. This course may be useful for new Data Privacy Analysts who are looking to expand their knowledge on data security and privacy best practices.

See salaries and explore the career path for Data Privacy Analyst

Data Governance Analyst

Data Governance Analysts ensure that data is managed in a consistent and secure manner. They may develop and implement data governance policies, procedures, and standards. This course may be useful for new Data Governance Analysts by helping them understand the importance of data masking, data encryption, and secure endpoints.

See salaries and explore the career path for Data Governance Analyst

Big Data Architect

Big Data Architects design and implement big data solutions. They may also develop and implement big data technologies, tools, and techniques. This course may be useful for new Big Data Architects by providing them with a solid foundation in data security best practices, including data masking, data encryption, and secure endpoints.

See salaries and explore the career path for Big Data Architect

Data Engineer

Data Engineers build and maintain data pipelines. They may also develop and implement data engineering tools, technologies, and techniques. This course may be useful for new Data Engineers by providing them with a strong foundation in data security best practices, including data masking, data encryption, and secure endpoints.

See salaries and explore the career path for Data Engineer

Data Architect

Data Architects design and implement data management solutions. They may also develop and implement data management policies, procedures, and standards. This course may be useful for new Data Architects by providing them with a strong foundation in data security best practices, including data masking, data encryption, and secure endpoints.

See salaries and explore the career path for Data Architect

Machine Learning Engineer

Machine Learning Engineers design and implement machine learning models. They may also develop and implement machine learning algorithms and techniques. This course may be useful for new Machine Learning Engineers by providing them with a solid foundation in data security best practices, including data masking, data encryption, and secure endpoints.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use data to solve business problems. They may also develop and implement data science models, algorithms, and techniques. This course may be useful for new Data Scientists by providing them with a solid foundation in data security best practices, including data masking, data encryption, and secure endpoints.

See salaries and explore the career path for Data Scientist