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Edwin Mose

成为会员时间：2023

可靠的 Google Cloud 基础设施: 设计和流程 Earned Aug 11, 2026 EDT
Google Cloud 数据分析功能简介 Earned Oct 27, 2025 EDT
Developing a Google SRE Culture Earned Oct 3, 2024 EDT
Google Cloud 基础知识：核心基础设施 Earned Sep 19, 2024 EDT
Introduction to Data Analytics in Google Cloud Earned May 23, 2024 EDT
Build Data Lakes and Data Warehouses on Google Cloud Earned Apr 15, 2024 EDT
[DEPRECATED] Google Cloud Big Data and Machine Learning Fundamentals Earned Apr 2, 2024 EDT
Build a Certification Study Guide: PDE Exam Prep Earned Mar 18, 2024 EDT
Data Catalog Fundamentals Earned Feb 6, 2024 EST
为 Looker 信息中心和报告准备数据 Earned Jan 8, 2024 EST
在 Looker 中应用高级 LookML 概念 Earned Dec 10, 2023 EST
了解 Looker 中的 LookML Earned Dec 7, 2023 EST
Developing Data Models with LookML Earned Nov 21, 2023 EST
Analyzing and Visualizing Data in Looker Earned Nov 8, 2023 EST
Google Cloud 数据分析基础知识 Earned Nov 2, 2023 EDT
Configure your Workplace: Google Workspace for IT Admins Earned Oct 29, 2023 EDT
DEPRECATED Planning for a Google Workspace Deployment Earned Oct 26, 2023 EDT
Google Workspace 数据治理 Earned Oct 25, 2023 EDT
Google Workspace 安全性 Earned Oct 23, 2023 EDT
Google Workspace 核心服务 Earned Oct 16, 2023 EDT
Google Workspace 用户和资源管理 Earned Oct 10, 2023 EDT
Preparing for Your Google Workspace Administrator Journey Earned Oct 6, 2023 EDT

本课程指导学员运用久经考验的设计模式在 Google Cloud 上构建高度可靠且高效的解决方案。它是“Google Compute Engine 架构设计”或“Google Kubernetes Engine 架构设计”课程的延续，并假定您有使用其中任何一门课程所涵盖技术的实践经验。通过一系列演示、设计活动和动手实验，学员可以了解如何定义及平衡业务要求和技术要求，以便设计可靠性和可用性高、安全且经济实惠的 Google Cloud 部署。

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本课程是 Google Cloud 数据分析认证的第一门课程（共五门）。在本课程中，您将认识云数据分析领域，并了解云数据分析师在数据获取、存储、处理和可视化方面的角色和职责。您将探索 BigQuery 和 Cloud Storage 等基于 Google Cloud 的工具的架构，以及如何使用这些工具有效地设计数据结构，以及展示和报告数据。

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In many IT organizations, incentives are not aligned between developers, who strive for agility, and operators, who focus on stability. Site reliability engineering, or SRE, is how Google aligns incentives between development and operations and does mission-critical production support. Adoption of SRE cultural and technical practices can help improve collaboration between the business and IT. This course introduces key practices of Google SRE and the important role IT and business leaders play in the success of SRE organizational adoption.

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“Google Cloud 基础知识：核心基础设施”介绍在使用 Google Cloud 时会遇到的重要概念和术语。本课程通过视频和实操实验来介绍并比较 Google Cloud 的多种计算和存储服务，并提供重要的资源和政策管理工具。

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This is the first of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll define the field of cloud data analysis and describe roles and responsibilities of a cloud data analyst as they relate to data acquisition, storage, processing, and visualization. You’ll explore the architecture of Google Cloud-based tools, like BigQuery and Cloud Storage, and how they are used to effectively structure, present, and report data.

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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.

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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Data Engineer certification exam. You'll review Gemini Notebook features, create a notebook in Gemini Notebook, and learn how to use a study guide to practice for a certification exam.

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Data Catalog is deprecated and will be discontinued on January 30, 2026. You can still complete this course if you want to. For steps to transition your Data Catalog users, workloads, and content to Dataplex Catalog, see Transition from Data Catalog to Dataplex Catalog (https://cloud.google.com/dataplex/docs/transition-to-dataplex-catalog). Data Catalog is a fully managed and scalable metadata management service that empowers organizations to quickly discover, understand, and manage all of their data. In this quest you will start small by learning how to search and tag data assets and metadata with Data Catalog. After learning how to build your own tag templates that map to BigQuery table data, you will learn how to build MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors.

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完成为 Looker 信息中心和报告准备数据入门级技能徽章课程， 展现您在以下方面的技能：对数据进行过滤、排序和透视；将来自不同 Looker 探索的结果合并； 以及使用函数和运算符构建 Looker 信息中心和报告以用于数据分析和可视化。

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在本课程中，您将获得在 Looker 中应用高级 LookML 概念 的实践经验。您将学习如何使用 Liquid 自定义和创建动态 维度和测量、创建动态 SQL 派生表和自定义原生 派生表，并运用扩展功能来模块化你的 LookML 代码

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在本课程中，您将通过实操练习掌握 Looker 中的 LookML。您将学习如何编写 LookML 代码来创建新的维度和度量、创建派生表并将其与“探索”联接、为“探索”设置过滤条件， 以及在 LookML 中定义缓存政策。

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This course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookML models to curate and manage data in your organization’s Looker instance.

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In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.

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了解如何在 Google Cloud 上将原始数字转化为清晰、以数据为依据的决策。通过实操实验和实际应用场景，本新手级课程将引导您在 BigQuery 中查询数据、在 Looker 中探索趋势，以及在数据洞察中制作可共享的交互式报告。

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Earn a skill badge by completing the Configure your Workplace: Google Workspace for IT Admins quest, where you will get try out the Admin role for Workspace and learn to provision Groups, manage applications, security, and manage Meet. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge quest, and final assessment challenge lab, to receive a digital badge that you can share with your network.

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Planning for a Google Workspace Deployment is the final course in the Google Workspace Administration series. In this course, you will be introduced to Google's deployment methodology and best practices. You will follow Katelyn and Marcus as they plan for a Google Workspace deployment at Cymbal. They'll focus on the core technical project areas of provisioning, mail flow, data migration, and coexistence, and will consider the best deployment strategy for each area. You will also be introduced to the importance of Change Management in a Google Workspace deployment, ensuring that users make a smooth transition to Google Workspace and gain the benefits of work transformation through communications, support, and training. This course covers theoretical topics, and does not have any hands on exercises. If you haven’t already done so, please cancel your Google Workspace trial now to avoid any unwanted charges.

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本课程旨在帮助学员掌握在 Google Workspace 环境中管理数据的技能。学员将探索如何在 Gmail 和云端硬盘中利用数据泄露防护规则来防止数据泄露。然后学习如何使用 Google 保险柜来保留、保存和检索数据。接着，学员将学习如何配置数据区域和导出设置，以遵循监管法规。最后，学员将了解如何使用标签对数据进行分类，以强化组织管理并提升安全性。

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本课程旨在帮助学员保护自身 Google Workspace 环境的安全。学员将实施安全系数高的密码政策和两步验证，以管理用户访问权限。然后，他们将利用安全调查工具主动识别和应对安全风险。接下来，他们将管理第三方应用访问权限和移动设备，以确保安全性。最后，学员将强制执行邮件安全和合规措施，以保护组织数据。

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本课程旨在让学员全面了解 Google Workspace 核心服务。学员将探索如何启用、停用这些服务（包括 Gmail、Google 日历、云端硬盘、Meet、Chat 和文档）以及为这些服务配置设置。随后，他们将学习如何部署和管理 Gemini，以赋能用户。最后，学员将了解 AppSheet 和 Apps 脚本的应用场景，学习如何使用它们自动执行任务并扩展 Google Workspace 应用的功能。

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本课程旨在帮助您了解 Google Workspace 中的用户和资源管理流程。学员将探索如何根据组织的需求配置组织部门。此外，学员还将了解如何管理各种类型的 Google 群组。他们还将掌握在 Google Workspace 中管理网域设置的专业知识。最后，学员将掌握如何在 Google Workspace 环境中优化和构建资源。

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This course helps learners prepare to study for the Professional Google Workspace Administrator Certification exam. Learners will be exposed to and engage with exam topics through a series of readings, diagnostic questions, and knowledge checks. After completing this course, learners will have a personalized workbook that will guide them through the rest of their certification readiness journey.

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