Data is being called the new oil, as you can generate so much value from it. However, if it's not properly secured, compliant and used ethically, it can quickly go from asset to liability. In this course, you'll learn how to manage data in Azure.
With all the scandals hitting the news related to privacy, security breaches and bias issues, understanding how to properly manage data has become an increasingly demanded skill on the business world. In this course, Understanding Ethical, Legal, and Security Issues in Data Science, you will gain the ability to handle Azure-hosted data in a secure, highly available and compliant way. First, you will learn about the Shared Responsibility Model in the cloud, and your duties on this model. Next, you will discover authentication and authorization options in Azure, as well as how to maintain the data highly available. Finally, you will explore how to handle legal, compliance and ethical aspects in Azure. When you’re finished with this course, you will have the skills and knowledge of Data Management needed to host your workloads in the Microsoft cloud.
Course Overview Hi everyone. My name is Emilio Melo, and welcome to my course, Understanding Ethical, Legal, and Security Issues in Data Science. I am a cloud solutions architect at Cloud Advantage with focus on data and AI technologies. Companies are becoming increasingly data centric in using data to guide managerial decisions, create new service offerings, and better understanding their customers; however, without the proper legal, security, and compliance framework, businesses are likely to hit the news for the wrong reasons. In this course, we are going to go over how to maintain your Azure data in a secure and compliant fashion. Some of the major topics that we will cover include the shared responsibility model for the cloud and the part that you play in it, how to leverage authentication and authorization mechanisms on Azure to protect your data, how to make sure that your data is always available in the Microsoft sites and tools to make sure that you are legal and compliant on the cloud. By the end of this course, you'll know how to create mechanisms to properly maintain your data in Azure. Before beginning this course, you should have some basic familiarity with the Azure data service offerings. From here, you should feel comfortable diving into other data science topics with the confidence of hosting the data in a secure way. I hope you'll join me on this journey to learn Azure data management with the Understanding Ethical, Legal, and Security Issues in Data Science course, at Pluralsight.