While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.
了解详情
在本课程中，您将了解 Google Cloud 数据工程、数据工程师的角色和职责，以及相关的 Google Cloud 产品和服务。您还将了解如何应对数据工程挑战。
了解详情
This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
借助 Gemini Code Assist 简化应用开发
Earned Apr 12, 2026 EDT
通过 API 使用 Cloud Storage
Earned Apr 11, 2026 EDT
使用 Gemini 和 Streamlit 开发生成式 AI 应用
Earned Apr 11, 2026 EDT
适用于云架构师的 Gemini
Earned Apr 6, 2026 EDT
部署多智能体架构
Earned Apr 6, 2026 EDT
为 Google Cloud 配置服务账号和 IAM 角色
Earned Apr 6, 2026 EDT
用 Document AI 实现大规模自动数据采集
Earned Apr 5, 2026 EDT
Google Cloud 云计算基础知识
Earned Mar 22, 2026 EDT
Build Data Lakes and Data Warehouses on Google Cloud
Earned Aug 4, 2025 EDT
Google Cloud 数据工程简介
Earned Aug 1, 2025 EDT
Preparing for your Professional Data Engineer Journey
Earned Jul 30, 2025 EDT