Databricks Platform Administration Fundamentals

In this course, you will learn the fundamentals of platform administration in the Databricks Data Intelligence Platform. It covers the Databricks architecture, security model, administrative roles, cloud resource management, and automation techniques. You will explore key administrative responsibilities, including managing workspaces, metastores, and external storage, while ensuring security through access controls and role-based privileges. Additionally, you will learn to automate administrative tasks using the Databricks SDK, CLI, and Terraform. The course includes hands-on demonstrations to reinforce concepts and streamline platform management. By the end, you will be equipped to efficiently administer, secure, and automate Databricks environments in your organization.

Note: Databricks Academy is transitioning from video lectures to a more streamlined PDF format with slides and notes for all self-paced courses. Please note that demo videos will still be available in their original format. We would love to hear your thoughts on this change, so please share your feedback through the course survey at the end. Thank you for being a part of our learning community!

Skill Level

Introductory

Duration

1h 30m

Prerequisites

The content was developed for participants with these skills/knowledge/abilities:

• Familiarity with the Databricks Data Intelligence Platform (completion of a foundational Databricks course recommended)

• Basic ability to perform code development tasks using Databricks workspace (create clusters, run code in notebooks, use basic notebook operations, import repos from git)

• Intermediate programming experience with Python, including understanding of APIs, SDKs, and programmatic resource management

• Basic familiarity with command-line interfaces and terminal operations in Linux/Unix environments

• Understanding of Unity Catalog data hierarchy concepts (catalogs, schemas, tables) and basic data governance principles

• Beginner knowledge of infrastructure as code concepts and configuration management tools

• Basic understanding of authentication methods and security concepts for cloud platforms

• Basic knowledge of cloud computing and SQL concepts, such as networking basics, SQL commands, aggregate functions, filters and sorting, indexes, tables, and views.

• Basic knowledge of Python programming, Jupyter notebook interface, and PySpark fundamentals

• Familiarity with cloud computing fundamentals (virtual machines, storage, networking, resource management)

Self-Paced

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Self-Paced

Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos

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Public and private courses taught by expert instructors across half-day to two-day courses

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Upcoming Public Classes

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注意：

Databricks Academy 正在将所有自定进度课程从视频讲座转为更简洁的 PDF 格式，其中包含幻灯片和讲义。请注意，演示视频仍将以原始格式提供。我们非常希望听到您对这一变化的看法，因此请通过课程末尾的课程调查分享您的反馈。感谢您成为我们学习社区的一员！本课程是 ‘Advanced Data Engineering with Databricks’ 系列的第四门课程。

Languages Available: English | 日本語 | 한국어

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Note: For SCORM lecture files, please ensure that you close the SCORM window after completing the content. Do not click the ‘Next Lesson’ button, as doing so may prevent the SCORM module from being marked as complete.

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