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

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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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