Why is AWS used

In this tutorial, we shall learn what is AWS and why is it so widely used. We shall also learn the benefits of using Amazon Web Services.

Why is AWS used?

In this tutorial, we will learn what AWS (Amazon Web Services) is and why one must use it. We will also be taking a look at the benefits of using Amazon Web Services.

Learn How to Build a Data Pipeline in Snowflake 

Amazon Web Services (AWS) is the cloud platform offered by Amazon.com Inc (AMZN). AWS is made up of many different cloud computing products and services. It offers everything from servers, storage, and computing right up to mobile development, email, networking, and security. AWS offers three main products –

1. Amazon’s storage system called S3
2. A cost-effective cloud storage service called Glacier
3. Amazon’s virtual machine service called EC2


Following are the benefits of using AWS –

• It is Easy to use
AWS is meant to let application providers, ISVs, and vendors host their applications rapidly and securely, whether they are existing or new SaaS-based apps. To gain access to AWS's application hosting platform, you can make use of the AWS Management Console or different web services APIs.

• It is Flexible
AWS gives you the flexibility to choose your OS, programming language, web application platform, database, and other services. AWS provides a virtual environment in which you can deploy the programs and services required by your application. This facilitates the migration of existing apps while still allowing for the creation of new ones.

• It is Secure
AWS uses an end-to-end approach to secure and fortify the infrastructure, including physical, operational, and software safeguards.

• It is Cost-Effective
There are no long-term commitments or upfront costs, and you only pay for the computing power, storage, and other resources that you use.

• It is scalable and performs well.
Using AWS technologies such as Auto Scaling and Elastic Load Balancing, your application may scale up or down based on demand. Because of Amazon's huge infrastructure, you have access to processing and storage resources whenever you need them.

• It is Reliable
With AWS, you have access to a worldwide computing infrastructure that has been honed for over a decade.

What Users are saying..

profile image

Ray han

Tech Leader | Stanford / Yale University
linkedin profile url

I think that they are fantastic. I attended Yale and Stanford and have worked at Honeywell,Oracle, and Arthur Andersen(Accenture) in the US. I have taken Big Data and Hadoop,NoSQL, Spark, Hadoop... Read More

Relevant Projects

AWS Project - Build an ETL Data Pipeline on AWS EMR Cluster
Build a fully working scalable, reliable and secure AWS EMR complex data pipeline from scratch that provides support for all data stages from data collection to data analysis and visualization.

GCP Project to Explore Cloud Functions using Python Part 1
In this project we will explore the Cloud Services of GCP such as Cloud Storage, Cloud Engine and PubSub

A Hands-On Approach to Learn Apache Spark using Scala
Get Started with Apache Spark using Scala for Big Data Analysis

Real-Time Streaming of Twitter Sentiments AWS EC2 NiFi
Learn to perform 1) Twitter Sentiment Analysis using Spark Streaming, NiFi and Kafka, and 2) Build an Interactive Data Visualization for the analysis using Python Plotly.

Build an Incremental ETL Pipeline with AWS CDK
Learn how to build an Incremental ETL Pipeline with AWS CDK using Cryptocurrency data

PySpark Project-Build a Data Pipeline using Hive and Cassandra
In this PySpark ETL Project, you will learn to build a data pipeline and perform ETL operations by integrating PySpark with Hive and Cassandra

Spark Project-Analysis and Visualization on Yelp Dataset
The goal of this Spark project is to analyze business reviews from Yelp dataset and ingest the final output of data processing in Elastic Search.Also, use the visualisation tool in the ELK stack to visualize various kinds of ad-hoc reports from the data.

Build a real-time Streaming Data Pipeline using Flink and Kinesis
In this big data project on AWS, you will learn how to run an Apache Flink Python application for a real-time streaming platform using Amazon Kinesis.

Real-time Auto Tracking with Spark-Redis
Spark Project - Discuss real-time monitoring of taxis in a city. The real-time data streaming will be simulated using Flume. The ingestion will be done using Spark Streaming.

Databricks Data Lineage and Replication Management
Databricks Project on data lineage and replication management to help you optimize your data management practices | ProjectPro