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Nicholas Salas

Mitglied seit 2023

Bronze League

5840 Punkte
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
Essential Google Cloud Infrastructure: Foundation Earned Okt 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-Grundlagen: Kerninfrastruktur 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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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 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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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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