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Create Your First Workspace Using Databricks Express

In this course, you will explore the core features and functionalities of Databricks Express Setup, a streamlined way to get started with Databricks. The course is designed to help you quickly set up and navigate a serverless workspace while providing a comprehensive understanding of the credit-based trial system, including the $400 allowance. Divided into six modules, it starts with an introduction to Databricks Express Setup, followed by an exploration of its key features and benefits. You will learn to create and manage serverless workspaces, perform exploratory data analysis using Unity Catalog, and gain insights into collaboration through data sharing.


Additionally, you’ll be guided through trial management and upgrade options, ensuring you can effectively transition from trial to paid accounts. The course also includes an internal-only module on the evolution of trial credits and account activation methods. By the end of the course, you will have a solid foundation in using Databricks Express Setup for data and AI workloads, enabling you to confidently explore and analyze data, collaborate with peers, and manage your Databricks environment efficiently.


Note: Databricks Academy is transitioning from video lectures to a more streamlined PDF format with slides and notes for all self-paced courses. Please note that demo videos will still be available in their original format. We would love to hear your thoughts on this change, so please share your feedback through the course survey at the end. Thank you for being a part of our learning community!

Skill Level
Introductory
Duration
1h 30m
Prerequisites

- 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.

Outline

Module 1: Introduction and Onboarding to Databricks Express


- Getting Started with Databricks Express

- Setting Up Your Databricks Express Account


Module 2: Express Setup and Workspace Navigation


- Exploring Serverless Workspaces and Data Intelligence

- Managing Storage and Data Sharing in Databricks


Module 3: Trial Management and Upgrade Options


- Exploring Credit-Based Trials in Databricks

- Setting Up Your Databricks Express Account


Module 4: Navigating Databricks Workspace and Data Sharing


- Demo: Databricks Workspace Navigation

- Demo: Data Management in Databricks Workspace

- Demo: Exploratory Data Analysis

- Demo: Delta Sharing Between Databricks Express Accounts

Self-Paced

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

See all our registration options

Registration options

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

Runtime

Self-Paced

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

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Instructors

Instructor-Led

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

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Learning

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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Scale

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

AI/BI for Data Analysts - Mandarin Chinese

本课程面向数据分析师,讲授如何在 Databricks 中设计、构建、发布和运维 AI/BI Dashboards。AI/BI Dashboards 将受 Unity Catalog 治理的数据与交互式可视化、筛选器和 Genie 集成相结合,使业务用户无需编写代码即可探索答案。

本课程围绕一个端到端构建项目展开。您将从 Unity Catalog 中的源表开始,最终完成一个已发布、受监控的多页面仪表盘。在此过程中,您将了解仪表盘如何融入更广泛的 Databricks AI/BI 产品系列,以及 Genie、数据集、可视化和筛选器在工作流中的各自作用。

课程内容包括:

• AI/BI Dashboard 基础知识,以及它与 Genie 和 Databricks 平台其他部分的关系。

• 探索 Unity Catalog 中的源数据,并使用 SQL 设计可复用的仪表盘数据集。

• 创建可视化(KPI、趋势和细分),并设计简洁的多页面仪表盘布局。

• 使用 Genie Code,根据自然语言提示词起草 SQL、图表和筛选器。

• 添加筛选器,使仪表盘能够进行交互并响应查看者的问题。

• 发布和共享仪表盘并管理权限,确保适当的人员可以查看和编辑仪表盘。

• 通过定时刷新、缓存和使用情况监控,在生产环境中运行仪表盘。

注意:对于 SCORM 讲授文件,请确保在完成内容后关闭 SCORM 窗口。请勿点击“Next Lesson”按钮,否则可能导致 SCORM 模块无法被标记为已完成。

Languages Available: English | 日本語 | Português BR | 한국어 | Español | française

Free
2h
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Questions?

If you have any questions, please refer to our Frequently Asked Questions page.