Databricks Fundamentals

This course is a fundamental introduction to Databricks and the Databricks Platform. You will be introduced to the problems modern data and AI teams face, the lakehouse idea at the center of the platform, the products and capabilities the platform offers, how it keeps data and AI trustworthy through unified governance, and a guided tour of the workspace itself.

These videos are provided in a suggested order, but you are welcome to watch them in any order you prefer. Additionally, we recommend you watch all the video content available prior to attempting the accreditation assessment for Databricks Fundamentals.

We assume no prior technical knowledge of Databricks or data platforms.

Skill Level

Introductory

Duration

Prerequisites

There are no prerequisites for this course as it is an introductory course.

Self-Paced

Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos

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Registration options

Databricks has a delivery method for wherever you are on your learning journey

Self-Paced

Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos

Instructor-Led

Public and private courses taught by expert instructors across half-day to two-day courses

Blended Learning

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

Upcoming Public Classes

Get Started with Databricks Apps - Mandarin Chinese

本课程介绍 Databricks Apps，这是一项功能，使开发人员能够直接在 Databricks 平台上构建和部署安全的数据与 AI 应用程序。本课程主要面向数据科学家、数据工程师以及需要创建自定义应用程序的开发人员，帮助他们将数据洞察以易于理解的方式呈现给组织内的非技术用户。

本课程首先概述 Databricks Apps 的主要组件，随后介绍如何部署简单的应用程序，这些应用程序可与外部服务以及 Databricks 资源进行集成。

Free

Onboarding

Apache Spark Developer

Introduction to Apache Spark™

This beginner-friendly course covers the fundamentals of Apache Spark for large-scale data processing. You will explore Spark’s distributed architecture, master the DataFrame API, and learn to read, write, and process data using Python. Through hands-on exercises, you will build the skills needed to execute Spark transformations and actions efficiently.

Note: For SCORM lecture files, please ensure that you close the SCORM window after completing the content. Do not click the ‘Next Lesson’ button, as doing so may prevent the SCORM module from being marked as complete.

Languages Available: English | 한국어

Free

Associate