Data Governance 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.

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. 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

This course introduces Databricks Apps, a new feature that empowers developers to build and deploy secure data and AI applications directly on the Databricks platform. It is primarily designed for data scientists, data engineers, and developers who need to create custom applications that make data insights accessible to non-technical users within their organizations.The course begins with an overview of the main components of Databricks Apps, followed by the deployment of a simple app using available templates. Next, you will learn how to build and deploy a data-driven application that integrates with other platform features. The course then covers how to set up an IDE for Databricks Apps, and how to edit and deploy an app using an IDE. It concludes with how to implement security and best practices for an enterprise app.