Google Cloud Platform (GCP) – Beginner Series Lesson #2 – Learn All GCP Products in 10 Minutes [2020]
#googlecloudplatform #gcp #compute #bigquery #bigdata #machinelearning #storage #ai

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***Link to other instructional videos***
Google Cloud Platform (GCP) Beginner Series Lesson #1 GCP Resource Overview [2020] – https://youtu.be/-K9WW3tKNWk
Proxy vs. reverse proxy vs. load balancer (2020) Explained with real-world examples – https://youtu.be/MiqrArNSxSMollllo9
API Basics for You (2020) What is API Explained with Simple Examples – https://youtu.be/8Ul2Ya-kyFA
What is a data vault? 3NF vs Dimensional Model vs Data Vault Quick Start Guide in 2020 – https://youtu.be/l5UcUEt1IzM
Let's understand containers: 5 easy steps to create a docker container – https://youtu.be/d9fQ4hGz6-4
Kubernetes crash course: in less than 15 minutes –
https://youtu.be/fip3SGTxnkw

Hello friends, I am Anshul Tiwari and welcome to our YouTube channel ITkFunde.

About this video –

WELCOME TO THIS BRAND NEW GOOGLE CLOUD PLATFORM BEIGNIIER SERIES IN 2020.

In this second lesson of this series, we'll get an overview of all Google Cloud Platform products and services. This video gives you a good idea of what these products are and how they are used within the Google Cloud Platform (GCP) landscape.

GCP products are divided into 4 categories:-

1) Calculate
2) Storage
3) Big data
4) AI (artificial intelligence)

1) GCP Compute – Helps you run your infrastructure in the cloud by running VMs (virtual machines), containers, and Kubernetes clusters.

2) GCP Storage – Offers various products to store all kinds of data such as SQL, no SQL, structured, unstructured, images and files in various products such as Big Table, Cloud Storage and Cloud Spanner.

3) GCP Bigdata – Offers products like Big Query to store big data in the cloud and run your data warehouse or data lake in GCP.

4) GCP AI – Provides Auto ML (machine learning) models to train with data to make intelligent predictions in the future. Language, speech or images can be turned into intelligent data by entering these Auto ML models.

Credits and Free Resources –
https://cloud.google.com/docs/overview/
https://cloud.google.com/products
https://cloud.google.com/vision/docs/drag-and-drop

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