Partecipa Accedi

Nicholas Salas

Membro dal giorno 2023

Campionato Bronzo

5840 punti
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
Infrastruttura Google Cloud di base: fondamenti Earned ott 11, 2023 EDT
Preparing for Your Associate Cloud Engineer Journey Earned ago 22, 2023 EDT
Data Warehousing for Partners: Migrate Data to BigQuery Earned ago 17, 2023 EDT
App Deployment, Debugging, and Performance Earned ago 9, 2023 EDT
Building No-Code Apps with AppSheet: Foundations Earned ago 7, 2023 EDT
Data Warehousing for Partners: Optimize in BigQuery Earned lug 27, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals - Italiano Earned lug 25, 2023 EDT
Data Warehousing for Partners: Design in BigQuery Earned lug 19, 2023 EDT
Data Warehousing for Partners: Enable Google Cloud Customers Earned lug 5, 2023 EDT
Managing Security in Google Cloud Earned lug 5, 2023 EDT
Google Cloud Fundamentals: Core Infrastructure - Italiano Earned giu 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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Questo corso accelerato on demand illustra ai partecipanti l'infrastruttura e i servizi di piattaforma flessibili e completi di Google Cloud con particolare attenzione a Compute Engine. Attraverso una combinazione di videolezioni, demo e lab pratici, i partecipanti potranno esplorare gli elementi delle soluzioni, tra cui i componenti dell'infrastruttura come reti, macchine virtuali e servizi per applicazioni, ed eseguirne il deployment. Imparerai a utilizzare Google Cloud mediante la console e Cloud Shell. Scoprirai inoltre il ruolo del Cloud Architect, gli approcci alla progettazione dell'infrastruttura e la configurazione del networking virtuale con VPC (Virtual Private Cloud), progetti, reti, subnet, indirizzi IP, route e regole firewall.

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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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Questo corso presenta i prodotti e i servizi per big data e di machine learning di Google Cloud che supportano il ciclo di vita dai dati all'IA. Esplora i processi, le sfide e i vantaggi della creazione di una pipeline di big data e di modelli di machine learning con Vertex AI su 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 Fundamentals: Core Infrastructure introduce concetti e terminologia importanti per lavorare con Google Cloud. Attraverso video e lab pratici, questo corso presenta e confronta molti dei servizi di computing e archiviazione di Google Cloud, insieme a importanti strumenti di gestione delle risorse e dei criteri.

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