Cloud functionality abstracts away the entire core infrastructure, allowing the user to focus on the code and build applications faster than before.

1. Google Cloud
Platform (GCP) At A
Glance
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2. Features of Google Cloud Platform
No Server Management
Cloud functionality abstracts away the entire core infrastructure, allowing the user to focus on the code and
build applications faster than before.
Scales Automatically
Cloud features automatically manage and scale the underlying infrastructure.
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3. Run the code in response to an event
With cloud capabilities, the user can retrieve the code through the Cloud Platform, Firebase, and Google
Assistant, or retrieve it via HTTP directly from the web, mobile devices, or backup applications.
Open and Friendly
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Cloud Functions support code written in JavaScript (Node.js), Python, and Go.
Users do not need to learn any new language, learning tool or framework. They
just have to enter the code, including native libraries that are saved on the
platform.

4. Google Cloud Platform Services
Google App Engine
Google App Engine is a service that provides front-end hosting and scalable Internet
services. It requires applications to be written in Java or Python that will be stored in
Google BigTable and is used in Google's request language.
Google Cloud Storage
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Google Cloud Storage is one of the safest and most compatible storage
facilities for users. Google also has the ability to store non-relational
NoSQL storage, BigTable cloud databases, and fully relational MySQL
storage.

5. Google Container Engine
It is used to run and manage Docker containers. Basically, this is a cluster management system that is based on
the Google Kubernetes container orchestration engine. Google Container Engine can be used for hybrid cloud,
public cloud, and on-premise infrastructure.
BigQuery
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It is a data warehousing system using Google Cloud Storage designed for large amounts of
highly distributed data that allows you to run SQL queries on multiple databases at various
levels of structure.

6. Cloud AutoML
Cloud AutoML is a set of services that allows applications to take advantage of machine learning models that
can be extracted in large amounts of data and use those patterns within a program.
Cloud Run
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Cloud Run is a newly announced service that allows software developers to
use and deploy applications to Google Cloud using a serverless model. It
creates and runs applications that are hosted locally rather than in the cloud.

7. Conclusion
In a nutshell, Google Cloud Platform provides more high-level services that are
related to Big Data and Machine Learning. These Big Data services are used for
data processing and analytics.
Google Cloud Services can be used for multiple purposes such as climate change
training, an algorithm to work better and build applications easily and quickly.
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