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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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SQL: 8 Frequently Used DATE Functions

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SQL Date functions
SQL DATE function for all Developers.

DATE Function is powerful in SQL. In SQL projects, people use this Function variety of ways.

All projects depends in DATE, and without it there is no way of existing of project. 

The Quick tour helps you use this function effectively. You can learn Oracle SQL step by step for all Developers.

Below is the list of SQL DATE functions
  • SYSDATE - It returns current local DATE and Time
  • CURRENT_DATE - Return local DATE and TIME and adjusted to current session Time Zone.
  • ROUND (DATE) - Rounds to nearest DAY
  • TRUNC (DATE) - Truncates Time
  • MONTHS_BETWEEN(date1,date2) - Returns number of months between date1 and date2'
  • LAST_DAY(DATE)- Returns last of the month
  • ADD_MONTHS(date,integer_months) - Adds specified number of months to specified date.
  • NEXT_DAY(date, day_of_week) - Returns to next day of the week that comes after the specified DATE
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