Data Warehousing for Partners: Process Data with Dataproc
Earned Nov 23, 2023 EST
Getting Started with Terraform for Google Cloud
Earned Nov 8, 2023 EST
重要的 Google Cloud 基礎架構：基本概念
Earned Oct 11, 2023 EDT
Preparing for Your Associate Cloud Engineer Journey
Earned Aug 22, 2023 EDT
Data Warehousing for Partners: Migrate Data to BigQuery
Earned Aug 17, 2023 EDT
App Deployment, Debugging, and Performance
Earned Aug 9, 2023 EDT
Building No-Code Apps with AppSheet: Foundations
Earned Aug 7, 2023 EDT
Data Warehousing for Partners: Optimize in BigQuery
Earned Jul 27, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Jul 25, 2023 EDT
Data Warehousing for Partners: Design in BigQuery
Earned Jul 19, 2023 EDT
Data Warehousing for Partners: Enable Google Cloud Customers
Earned Jul 5, 2023 EDT
Managing Security in Google Cloud
Earned Jul 5, 2023 EDT
Google Cloud 基礎知識：核心基礎架構
Earned Jun 27, 2023 EDT
This course explores the implementation of data load and transformation pipelines for a BigQuery Data Warehouse using Dataproc.
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This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure.
Learners will get hands-on practice building and managing Google Cloud resources using Terraform.
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這堂隨選密集課程會向參加人員說明 Google Cloud 提供的全方位彈性基礎架構和平台服務，尤其側重於 Compute Engine。這堂課程結合了視訊講座、示範和實作研究室，可讓參加人員探索及部署解決方案元素，例如網路、虛擬機器和應用程式服務等基礎架構元件。您會瞭解如何透過控制台和 Cloud Shell 使用 Google Cloud。另外，您也能瞭解雲端架構師的職責、基礎架構設計方法，以及具備虛擬私有雲 (VPC)、專案、網路、子網路、IP 位址、路徑和防火牆規則的虛擬網路設定。
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This course helps you structure your preparation for the Associate Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.
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This course identifies best practices for migrating data warehouses to BigQuery and the key skills required to perform successful migration.
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In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to create repeatable deployments by treating infrastructure as code, choose the appropriate application execution environment for an application, and monitor application performance.
Completing one version of each lab is required. Each lab is available in Node.js. In most cases, the same labs are also provided in Python or Java. You may complete each lab in whichever language you prefer.
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In this course you will learn the fundamentals of no-code app development and recognize use cases for no-code apps. The course provides an overview of the AppSheet no-code app development platform and its capabilities. You learn how to create an app with data from spreadsheets, create the app’s user experience using AppSheet views and publish the app to end users.
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Welcome to Optimize in BigQuery, where we map Enterprise Data Warehouse concepts and components to BigQuery and Google data services with a focus on optimization.
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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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Welcome to Design in BigQuery, where we map Enterprise Data Warehouse concepts and components to BigQuery and Google data services with a focus on schema design.
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This course discusses the key elements of Google's Data Warehouse solution portfolio and strategy.
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This self-paced training course gives participants broad study of security controls and techniques on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure Google Cloud solution, including Cloud Identity, Resource Manager, IAM, Virtual Private Cloud firewalls, Cloud Load Balancing, Cloud Peering, Cloud Interconnect, and VPC Service Controls.
This is the first course of the Security in Google Cloud series. After completing this course, enroll in the Security Best Practices in Google Cloud course.
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「Google Cloud 基礎知識：核心基礎架構」介紹了在使用 Google Cloud 時會遇到的重要概念和術語。本課程會透過影片和實作實驗室，介紹並比較 Google Cloud 的多種運算和儲存服務，同時提供重要的資源和政策管理工具。
Data Warehousing for Partners: Process Data with Dataproc
Earned Nov 23, 2023 EST
Getting Started with Terraform for Google Cloud
Earned Nov 8, 2023 EST
重要的 Google Cloud 基礎架構：基本概念
Earned Oct 11, 2023 EDT
Preparing for Your Associate Cloud Engineer Journey
Earned Aug 22, 2023 EDT
Data Warehousing for Partners: Migrate Data to BigQuery
Earned Aug 17, 2023 EDT
App Deployment, Debugging, and Performance
Earned Aug 9, 2023 EDT
Building No-Code Apps with AppSheet: Foundations
Earned Aug 7, 2023 EDT
Data Warehousing for Partners: Optimize in BigQuery
Earned Jul 27, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Jul 25, 2023 EDT
Data Warehousing for Partners: Design in BigQuery
Earned Jul 19, 2023 EDT
Data Warehousing for Partners: Enable Google Cloud Customers
Earned Jul 5, 2023 EDT
Managing Security in Google Cloud
Earned Jul 5, 2023 EDT
Google Cloud 基礎知識：核心基礎架構
Earned Jun 27, 2023 EDT