Build Data Lakes and Data Warehouses on Google Cloud
Earned avr. 13, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned fév. 21, 2023 EST
Getting Started with Google Kubernetes Engine
Earned nov. 7, 2022 EST
Application Development with Cloud Run
Earned oct. 27, 2022 EDT
App Deployment, Debugging, and Performance
Earned oct. 6, 2022 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned oct. 4, 2022 EDT
Securing and Integrating Components of your Application
Earned oct. 4, 2022 EDT
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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Welcome to the Getting Started with Google Kubernetes Engine course. If you're interested in Kubernetes, a software layer that sits between your applications and your hardware infrastructure, then you’re in the right place! Google Kubernetes Engine brings you Kubernetes as a managed service on Google Cloud.
The goal of this course is to introduce the basics of Google Kubernetes Engine, or GKE, as it’s commonly referred to, and how to get applications containerized and running in Google Cloud. The course starts with a basic introduction to Google Cloud, and is then followed by an overview of containers and Kubernetes, Kubernetes architecture, and Kubernetes operations.
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This course introduces you to fundamentals, practices, capabilities and tools applicable to modern cloud-native application development using Google Cloud Run. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to on Google Cloud using Cloud Run.design, implement, deploy, secure, manage, and scale applications
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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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Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
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In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to develop more secure applications, implement federated identity management, and integrate application components by using messaging, event-driven processing, and API gateways. 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. This is the second course of the Developing Applications with Google Cloud series. After completing this course, enroll in the App Deployment, Debugging, and Performance course.
Build Data Lakes and Data Warehouses on Google Cloud
Earned avr. 13, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned fév. 21, 2023 EST
Getting Started with Google Kubernetes Engine
Earned nov. 7, 2022 EST
Application Development with Cloud Run
Earned oct. 27, 2022 EDT
App Deployment, Debugging, and Performance
Earned oct. 6, 2022 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned oct. 4, 2022 EDT
Securing and Integrating Components of your Application
Earned oct. 4, 2022 EDT