AWS

Getting Started with Amazon Aurora:

Getting Started with Amazon Aurora:

To create and use an Amazon Aurora database: 

1. Sign in to the AWS Management Console and navigate to the Amazon RDS console. 
2. Click on the "Create database" button. 
3. Choose "Amazon Aurora" as the database engine. 
4. Select the version of Aurora that you want to use. Aurora is available in both MySQL- and PostgreSQL-compatible versions. 
5. Choose the instance class and the number of instances that you want to use. You can choose from a range of instance classes with different configurations of CPU, memory, and storage. 
6. Give your database a name and a username, and set a password for the master user. 
7. In the "Connectivity" section, choose the VPC and the subnet group where you want to create your database. 
8. In the "Additional configuration" section, you can specify additional options, such as the storage type, the database port, and the backup retention period. 9. Click on the "Create database" button to create your Amazon Aurora database. 10.Wait for the database to be created. This may take a few minutes. 11.Once the database is created, you can connect to it using a MySQL- or PostgreSQL-compatible client, such as the MySQL command line client or the psql client. 

You can also manage your database using the Amazon RDS console, the AWS CLI, or the Amazon RDS APIs. From the console, you can view the status and performance of your database, create and restore backups, and scale your database up or down. 

Non- relational Databases: 

Non-relational databases, also known as NoSQL databases, are a type of database that does not follow the traditional relational model and are designed to handle large amounts of unstructured data. Non-relational databases are often used for applications that require high scalability, high performance, and flexible data models. 

In Amazon Web Services (AWS), there are several non-relational database options available:

Top course recommendations for you

    Python Stack
    2 hrs
    Beginner
    3.8K+ Learners
    4.52  (94)
    AI and Big Data in IOT
    1 hrs
    Intermediate
    7.8K+ Learners
    4.5  (495)
    Selenium Basics
    1 hrs
    Beginner
    20.9K+ Learners
    4.41  (1193)
    Selenium with Python
    1 hrs
    Beginner
    11K+ Learners
    4.39  (532)
    Selenium Projects with Python
    2 hrs
    Intermediate
    7.6K+ Learners
    4.54  (173)
    Java Projects
    1 hrs
    Beginner
    19.7K+ Learners
    4.17  (192)
    JDBC in Java
    1 hrs
    Beginner
    7.5K+ Learners
    4.45  (415)
    Flask Python
    1 hrs
    Beginner
    6.3K+ Learners
    4.3  (261)
    Linked List in Python
    3 hrs
    Beginner
    2.5K+ Learners
    4.61  (41)
    Leap year program in Python
    1 hrs
    Beginner
    1.9K+ Learners
    4.63  (48)