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Oracle Public Cloud Machine Oracle Database Metadata Cloud Machine Deployment Guide Release 17.1 E8050002April 2017Oracle Public Cloud Machine Oracle Database Metadata Cloud Machine Deployment Guide,
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01
Step 1: Login to your Oracle Exadata Cloud account
02
Step 2: Navigate to the Exadata Cloud service
03
Step 3: Click on the 'Create Database' button
04
Step 4: Enter the required information such as database name, instance name, and storage allocation
05
Step 5: Choose the desired configuration options for your database
06
Step 6: Review the summary of your database configuration and click 'Create' to initiate the provisioning process
07
Step 7: Wait for the database to be provisioned and successfully created
08
Step 8: Once the database is created, you can start using it by connecting to it using appropriate client tools or applications.

Who needs oracle database exadata cloud?

01
Companies or organizations that require a highly scalable and high-performance database solution
02
Organizations that need to handle large amounts of data and require fast and efficient processing
03
Businesses that require high availability and reliability for their database systems
04
Companies looking for a cloud-based database solution that offers automatic scaling and patching
05
Organizations that require advanced security features and data protection capabilities
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Oracle Database Exadata Cloud is a platform that combines the power of Oracle Database with the performance and scalability of Exadata, delivered as a cloud service.
Organizations or individuals who want to use Oracle Database Exadata Cloud services are required to file for it.
To fill out Oracle Database Exadata Cloud, users can follow the step-by-step instructions provided by Oracle on their website or contact customer support for assistance.
The purpose of Oracle Database Exadata Cloud is to provide a fast, secure, and reliable platform for running Oracle Database workloads in the cloud.
Users must report information related to their Oracle Database workloads, such as performance metrics, storage usage, and resource utilization.
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