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Linux VS Windows: An Overview of Comparison

A New Set of Collaboration of Linux VS Windows Have Their Own Functional Integrity

Linux is the best example of free, open source collaboration. This is developed for the personal computers with Intel inside. From smartphones to other special devices, Linux is everywhere. It is an extraordinary operating system that manages all kinds of technical devices or appliances. This is the perfect platform for all kinds of technology tools. On the other hand Windows are also excellent operating system. They both function differently. Linux is the computer operating software operating system. Window is the series of graphical interface.

Pros and Cons: An Ultimate Guide for Linux

There are various advantages, you can avail in Linux.  However, you can see some cons also in it. They are as follows:

  • Pros: It has more options than other systems. You can change anything in Linux.
  • This is more secure and it is free.
  • This has a full access to open source library.
  • Cons: this is very slow to reach to Linux. The options can limit your priority options.
  • It gives limited vendor support.

Linux VS Windows: An Overview of Comparison

Linux is reliable and it has a powerful focus on the process system. Windows made improvements and less reliable than Linux. The software is Linux and the windows command highest number of users. Linux is an open source with free option but windows are free for some specific utilities like games, programs etc. There are a large number of online supports available for Linux but windows offer online help system.

 

 

About Abhay Singh

7 + years of expertise of Cloud Platform(AWS) with Amazon EC2, Amazon S3, Amazon RDS, VPC, IAM, Amazon ELB, Scaling, CloudFront, CDN, CloudWatch, SNS, SQS, SES and other vital AWS services. Understand Infrastructure requirements, and propose design, and setup of the scalable and cost effective applications. Implement cost control strategies yet keeping at par performance. Configure High Availability Hadoop big data ecosystem, Teradata, HP Vertica, HDP, Cloudera on AWS, IBM cloud & other cloud services. Infrastructure Automation using Terraform, Ansible and Horton Cloud Break setups. 2+ Years of development experience with Big Data Hadoop cluster, Hive, Pig, Talend ETL Platforms, Apache Nifi. Familiar with data architecture including data ingestion pipeline design, Hadoop information architecture, data modeling, and data mining, machine learning, and advanced data processing. Experience at optimizing ETL workflows. Good knowledge of database concepts including High Availability, Fault Tolerance, Scalability, System, and Software Architecture, Security and IT infrastructure.

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