Get Started with Databricks Platform Administration
In this course, you will learn the basics of platform administration on the Databricks Platform. It offers a comprehensive overview of the Unity Catalog, a vital component for effective data governance within Databricks environments. Divided into five modules, it begins with a detailed introduction to Databricks infrastructure and its platform, including an in-depth walkthrough of the Databricks Workspace. You will explore data governance principles within Unity Catalog, covering its key concepts, architecture, and roles. The course further emphasizes managing Unity Catalog metastores and compute resources, including classic compute and SQL warehouses. Finally, you'll master data access control by learning about privileges, fine-grained access, and how to govern data objects. By the end, you will be equipped with essential skills to administer the Unity Catalog to implement effective data governance, optimize compute resources, and enforce robust data security strategies. With the purchase of a Databricks Labs subscription, the course also closes out with a comprehensive lab exercise to practice what you’ve learned in a live Databricks Workspace environment.
Languages Available: English | 日本語 | Português BR | 한국어
• Familiarity with the Databricks Platform and basic workspace operations (create clusters, run code in notebooks, use basic notebook operations)
• Basic understanding of identity and access management concepts (users, groups, service principals, authentication, authorization)
• Understanding of Unity Catalog fundamentals including the hierarchical object model (metastore, catalogs, schemas, tables, volumes, models)
• Basic knowledge of data governance principles and access control concepts (permissions, entitlements, administrative responsibilities)
• Beginner familiarity with cloud computing concepts (virtual machines, object storage, identity management, cloud resources)
• Basic understanding of workspace administration concepts including user management and permission assignment
• Knowledge of account-level versus workspace-level administration and the relationship between them
• A basic understanding of cloud computing and SQL concepts, including networking, SQL queries, and database structures such as tables and views
• Familiarity with Python programming, the Jupyter notebook interface, and foundational PySpark operations
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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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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Comprehensive training offering for large scale customers that includes learning elements for every style of learning. Inquire with your account executive for details
