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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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Amazon Web Service Import/Export Commands

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In the process like Hadoop cluster, which is already installed on CLOUD, the main input for data processing is huge volume of data. The big questions is how to send data to CLOUD from local machine.
It is NOT so easy to send huge volume of data to CLOUD through network.

AWS Import or Export

AWS introduced new feature called Import/Export, so that you can send hard drive to AWS, they will upload your data to S3 storage.

Different calculations:

How networking causes hurdle to move data to cloud?

A) Your internet speed is 1.544 MBPS it takes 82 days - So your data is 100 GB or more, based on your net speed you need to go for Import/Export.

Your internet speed is 10 MBPS it takes 13 days - So your data is 600 GB or more, based on your net speed you need to go for Import/Export.

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