Rejoindre Se connecter

Priyanka Menon

Date d'abonnement : 2020

Ligue de bronze

5820 points
VM Migration for Partners Earned oct. 28, 2024 EDT
Certification Learning Path: Professional Cloud DevOps Engineer Earned fév. 11, 2024 EST
Build Data Lakes and Data Warehouses on Google Cloud Earned juin 10, 2021 EDT
Essential Google Cloud Infrastructure: Foundation Earned fév. 15, 2021 EST
Google Cloud Platform Fundamentals: Core Infrastructure Earned fév. 14, 2021 EST
Kubernetes in Google Cloud Earned fév. 8, 2021 EST
Develop Your Google Cloud Network Earned fév. 8, 2021 EST
Implementing Cloud Load Balancing for Compute Engine Earned fév. 5, 2021 EST
Elastic Cloud Infrastructure: Scaling and Automation Earned jan. 30, 2021 EST

This course provides comprehensive skills on VM migration, from the initial assessment through the final implementation through presentations, demonstrations, and whiteboard session.

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Good news! There’s a new updated version of this learning path available for you!Open the new Professional Cloud DevOps Engineer Certification Learning Path to begin, once you’ve selected the new path all your current progress will be reflected in the new version.

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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 accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.

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This content is deprecated. Please see the latest version of the course, here.

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Kubernetes is the most popular container orchestration system, and Google Kubernetes Engine was designed specifically to support managed Kubernetes deployments in Google Cloud. In this course, you will get hands-on practice configuring Docker images, containers, and deploying fully-fledged Kubernetes Engine applications.

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Earn a skill badge by completing the Develop your Google Cloud Network skill badge course, where you learn multiple ways to deploy and monitor applications including how to: explore IAM roles and add/remove project access, create VPC networks, deploy and monitor Compute Engine VMs, write SQL queries, deploy and monitor VMs in Compute Engine, and deploy applications using Kubernetes with multiple deployment approaches.

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Complete the introductory Implementing Cloud Load Balancing for Compute Engine skill badge to demonstrate skills in the following: creating and deploying virtual machines in Compute Engine and configuring network and application load balancers.

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This course has been updated, please enroll in the new Elastic Google Cloud Infrastructure: Scaling and Automation.

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