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In this course, you will learn the basics of platform administration on the Databricks Data Intelligence 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 data intelligence 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 clusters 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.

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What You'll Learn

  • Databricks Overview
  • Databricks Platform Administration

Who Should Attend

  • Platform administrators, cloud data engineers and infrastructure engineers who want to learn how to manage the Databricks Lakehouse environment, compute resources and governance.
  • Professionals responsible for administering the Unity Catalog — including metastores, privileges, compute access, and data-object governance — within Databricks.
  • Individuals with basic knowledge of cloud computing, SQL and Python/PySpark (as listed in the prerequisites) who are ready to build foundational platform-administration skills on Databricks.
  • Team members who support organisational readiness for analytics and AI — managing workspace governance, resource access controls and platform scale-out capabilities.
  • Organisations moving toward governed, scalable data platforms who need professionals capable of shaping compute, permissions and governance workflows in Databricks.
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Prerequisites

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

  • 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.

Learning Journey

Coming Soon...

Module 1. Databricks Overview

  • Databricks Infrastructure
  • Databricks Data Intelligence Platform
  • Unity Catalog Overview
  • Databricks Workspace Walkthrough

Module 2. Databricks Platform Administration

  • Data Governance in Unity Catalog
  • Managing Principles in Unity Catalog
  • Managing Unity Catalog Metastores
  • Compute Resources and Unity Catalog
  • Data Access Control in Unity Catalog

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Frequently Asked Questions (FAQs)

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Course Curriculum

Course Curriculum

Training Schedule

Training Schedule

Exam & Certification

Exam & Certification

FAQs

Frequently Asked Questions

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