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Step-by-Step Guide to Creating an AWS RDS Database Instance

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 Amazon Relational Database Service (AWS RDS) makes it easy to set up, operate, and scale a relational database in the cloud. Instead of managing servers, patching OS, and handling backups manually, AWS RDS takes care of the heavy lifting so you can focus on building applications and data pipelines. In this blog, we’ll walk through how to create an AWS RDS instance , key configuration choices, and best practices you should follow in real-world projects. What is AWS RDS? AWS RDS is a managed database service that supports popular relational engines such as: Amazon Aurora (MySQL / PostgreSQL compatible) MySQL PostgreSQL MariaDB Oracle SQL Server With RDS, AWS manages: Database provisioning Automated backups Software patching High availability (Multi-AZ) Monitoring and scaling Prerequisites Before creating an RDS instance, make sure you have: An active AWS account Proper IAM permissions (RDS, EC2, VPC) A basic understanding of: ...
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5 Top R Vs SAS Differences

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Statistical analysis should know by every software engineer. R is an open source statistical programming language. SAS is licensed analysis suite for statistics. The two are very much popular in Machine learning and data analytics projects. SAS is an Analysis-suite software and R is a programming language. 1. R Language R supports both statistical analysis and Graphics R is an open source project. R is 18th most popular Language R packages are written in C, C++, Java, Python and.Net R is popular in Machine learning, data mining and Statistical analysis projects. a). R Advantages R is flexible since a lot of packages are available. R is best suited for data related projects and  Machine learning . Less cost since it is open source language. R Studio is the best tool to develop R programming modules. Ref: imartcus.org (read more advantages) b). R Disadvantages R language architecture model is out of date. So may not use it for critical applications. R is not suitable for S...
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