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!
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
Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos
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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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Self-paced and weekly instructor-led sessions for every style of learner to optimize course completion and knowledge retention. Go to Subscriptions Catalog tab to purchase
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Skills@Scale
Comprehensive training offering for large scale customers that includes learning elements for every style of learning. Inquire with your account executive for details
