Modernizing Data Lakes and Data Warehouses with Google Cloud
Earned Apr 13, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Feb 21, 2023 EST
Getting Started with Google Kubernetes Engine
Earned Nov 7, 2022 EST
Application Development with Cloud Run
Earned Okt 27, 2022 EDT
App Deployment, Debugging, and Performance
Earned Okt 6, 2022 EDT
Google Cloud-Grundlagen: Kerninfrastruktur
Earned Okt 4, 2022 EDT
Securing and Integrating Components of your Application
Earned Okt 4, 2022 EDT
The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment.
This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Batch Data Pipelines on Google Cloud course.
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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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In „Google Cloud-Grundlagen: Kerninfrastruktur“ werden wichtige Konzepte und die Terminologie für die Arbeit mit Google Cloud vorgestellt. In Videos und praxisorientierten Labs werden viele Computing- und Speicherdienste von Google Cloud sowie wichtige Tools für die Ressourcen- und Richtlinienverwaltung präsentiert und miteinander verglichen.
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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.
Modernizing Data Lakes and Data Warehouses with Google Cloud
Earned Apr 13, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Feb 21, 2023 EST
Getting Started with Google Kubernetes Engine
Earned Nov 7, 2022 EST
Application Development with Cloud Run
Earned Okt 27, 2022 EDT
App Deployment, Debugging, and Performance
Earned Okt 6, 2022 EDT
Google Cloud-Grundlagen: Kerninfrastruktur
Earned Okt 4, 2022 EDT
Securing and Integrating Components of your Application
Earned Okt 4, 2022 EDT