AWS Databricks Platform Administration Fundamentals

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)