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Updated in [February 21st, 2023]

What does this course tell?
(Please note that the following overview content is from the original platform)

Administering an app or service correctly is crucial to ensuring its security and enabling users to get the best out its features. This course delves into the challenges and techniques in Databricks workspace administration.
Databricks workspaces serve as the entry point to all assets within this service, and ensuring the right people have access to them, and the right set of permissions to carry out their tasks is essential to ensuring security as well as maximizing the productivity of Databricks users. In this course, Managing and Administering the Databricks Service, you'll delve into the different entities who can interact with Databricks, and how their access can be regulated. First, you'll learn how a Databricks workspace can be provisioned in the Azure cloud platform, and the type of users who can be granted access to it. Next, you'll discover the different types of entitlements which can be granted to users and groups, and the techniques available to accomplish this job. Finally, you'll delve into how the provisioning of users in Databricks can be automated with an application available on the Azure cloud platform. Once you complete this course, you'll have a clear picture of the responsibilities of a Databricks administrator and the various options available when managing this crucial big data service.

We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
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What skills and knowledge will you acquire during this course? By taking this course, Managing and Administering the Databricks Service, learners will acquire the knowledge and skills to effectively manage and administer the Databricks service. They will gain an understanding of the different entities who can interact with Databricks, and how their access can be regulated. They will learn how to provision a Databricks workspace in the Azure cloud platform, and the type of users who can be granted access to it. Additionally, learners will explore the different types of entitlements which can be granted to users and groups, and the techniques available to accomplish this job. Finally, learners will discover how the provisioning of users in Databricks can be automated with an application available on the Azure cloud platform. These skills and knowledge can be applied to ensure the security of the Databricks service and maximize the productivity of its users. How does this course contribute to professional growth? This course, Managing and Administering the Databricks Service, provides learners with the knowledge and skills to effectively manage and administer the Databricks service. Learners will gain an understanding of the different entities who can interact with Databricks, and how their access can be regulated. They will learn how to provision a Databricks workspace in the Azure cloud platform, and the type of users who can be granted access to it. Additionally, learners will explore the different types of entitlements which can be granted to users and groups, and the techniques available to accomplish this job. Finally, learners will discover how the provisioning of users in Databricks can be automated with an application available on the Azure cloud platform. By the end of this course, learners will have a clear picture of the responsibilities of a Databricks administrator and the various options available when managing this crucial big data service. This course contributes to professional growth by providing learners with the knowledge and skills necessary to manage and administer the Databricks service. Learners will gain an understanding of the different entities who can interact with Databricks, and how their access can be regulated. They will learn how to provision a Databricks workspace in the Azure cloud platform, and the type of users who can be granted access to it. Additionally, learners will explore the different types of entitlements which can be granted to users and groups, and the techniques available to accomplish this job. Finally, learners will discover how the provisioning of users in Databricks can be automated with an application available on the Azure cloud platform. This knowledge can be applied to ensure the security of the Databricks service and maximize the productivity of its users. This course can help learners gain the skills necessary to pursue a career in Databricks administration, big data engineering, data science, and cloud architecture. Is this course suitable for preparing further education? This course, Managing and Administering the Databricks Service, is suitable for preparing further education in the field of cloud-based solutions and big data solutions. Learners will gain an understanding of the different entities who can interact with Databricks, and how their access can be regulated. They will learn how to provision a Databricks workspace in the Azure cloud platform, and the type of users who can be granted access to it. Additionally, learners will explore the different types of entitlements which can be granted to users and groups, and the techniques available to accomplish this job. Finally, learners will discover how the provisioning of users in Databricks can be automated with an application available on the Azure cloud platform. This knowledge can be applied to ensure the security of the Databricks service and maximize the productivity of its users, which is essential for preparing for further education in the field of cloud-based solutions and big data solutions.