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Google-Cloud

Google Cloud is a comprehensive suite of cloud computing services offered by Google, designed to provide businesses and developers with scalable infrastructure and powerful tools for data management, analytics, and machine learning. Launched in 2008, Google Cloud Platform (GCP) encompasses a range of services, including Infrastructure-as-a-Service (IaaS), Big Data solutions, and AI capabilities. It enables organizations to leverage Google’s robust infrastructure to enhance their operations, improve efficiency, and drive innovation. With features like unlimited data storage and advanced analytics, Google Cloud is increasingly adopted across various industries, making it a vital resource for modern digital transformation.

Import CSV Data to Firestore Using GCP and Node.js

Level Up Coding

Google Cloud Platform (GCP) is a suite of public cloud computing services provided by Google. The platform includes a range of hosted services for compute, storage, and applications that run on…

A (very) brief overview of Google Cloud Platform

Towards Data Science

Introduction and terminology for new users to start digging into GCP Ebene bei Auvers mit Regenwolken by Van Gogh. From Wikimedia Commons. Recently, our statistics department started transitioning aw...

GCP Notes (I)

Level Up Coding

GCP Notes (I). Google Cloud Platform is a cloud service provider that individuals and organizations use to build, host, and deliver applications..

Overview of Google Cloud Essentials Quest

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If you looking to learn about Google Cloud in depth or in general with or without any prior knowledge in cloud computing, then you should definitely check this quest out, Link. Google Could…

The Google Product Analyst Interview

Towards Data Science

In 2008, Google launched its cloud solution “Google Cloud Platform” (GCP), a suite of cloud computing services that offers excellent Infrastructure-as-a-Service (IaaS) solutions to help businesses…

Cloud Run: Google Cloud Text to Speech API

Towards Data Science

Google Cloud Run became Generally-Available (GA) around November of 2019. It provides a fully managed serverless execution platform to abstract infrastructure for stateless code deployment with…

The basics of Google Cloud Platform (GCP)

Towards Data Science

The Cloud is a complicated space. It’s not a simple plug and play as most people would imagine. We have folks from various backgrounds such as developers, network engineers, machine learning…

Gridiron in the Cloud: Hacking on Football with GCP

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If you had a week to wring as much out of Google Cloud as you could, what might you be able to build? That’s what a group of front-end software engineers and UXers attempted to find out. Though we…

Google Cloud AI Platform: Hyper-Accessible AI & Machine Learning

Towards Data Science

An overview of the Google Cloud AI Platform. Explore all of the main services to aid with modern data science, machine learning and AI.

End-to-End ML Workflow with GCP Cloud Functions

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Cloud Functions is a serverless hosting option offered by the Google Cloud Platform (GCP), allowing users to deploy event-driven code without having to manage the underlying hardware. With so many…

6 Minutes Mantra To Create Computing Resources On Google Cloud

Towards AI

This article explains the step by step procedure to create computing resources on Google Cloud Platform using Google Deployment Manager. It also explains how to deploy machine learning applications.

Google Cloud Alternatives to Cloud Composer

Towards Data Science

Did you know that as a Google Cloud user, there are many services to choose from to orchestrate your jobs ? For batch jobs, the natural choice has been Cloud Composer for a long time. However, it…