Lakehouse Architecture Fundamentals

A concept-level course based on The Data Lakehouse For Dummies. It moves learners from "not sure what a lakehouse is" to being able to hold a working conversation about lakehouse architecture and the technologies behind it: the limitations of legacy architectures, what the lakehouse is, its core technologies, and how it enables data intelligence and unified workloads on Databricks.

Skill Level

Introductory

Duration

Prerequisites

None. This 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

Data Analyst

Get Started with SQL Analytics and BI on Databricks

This course introduces the Databricks Data Intelligence Platform and the core skills a data analyst needs for day-to-day SQL analytics and BI work. You'll navigate the workspace and Unity Catalog, write SQL queries against governed Delta tables from a Serverless SQL Warehouse, use Genie Code to generate and debug SQL, work with Delta Lake (DML, version history, time travel, and restore), build and publish AI/BI Dashboards, and create Genie Spaces for conversational analytics. Each topic pairs a guided Demo notebook with a hands-on Lab.

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

Free

Onboarding

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。

Free

Associate

Generative AI Fundamentals - Mandarin Chinese

生成式 AI 已从新兴实验转变为企业必备能力，为从智能客户支持到自动执行复杂工作流的 AI Agent 等各类应用提供支撑。

那些懂得如何有效部署生成式 AI——立足于自身数据并施以可信治理——的组织，将成为各自行业中引领节奏的领跑者。但随着新模型每周发布、能力快速演进，懂得如何战略性地评估和应用生成式 AI，比一味追逐最新版本更为重要。通过这门免费的按需培训，快速掌握生成式 AI 的基础知识——它能做什么、在哪些方面带来真正的业务价值，以及如何在 Databricks 上安全地实施它。

Free

Introductory