How to Optimize Oracle on Amazon S3 Platform

 

Oracle is a proprietary relational database management system (RDMS). It is primarily used for Online Transaction Processing (OLTP) and data warehousing. Most applications, such as GNU/LINUX and Windows Server, merge easily into the database. Oracle is ACID-compliant, which adds an extra layer of security, data integrity, and reliability to the database.



Given these attributes, why would organizations want to move databases from Oracle to S3, the Simple Storage Service from Amazon?

Amazon S3 is a cloud-based data warehousing solution that is ideal for Online Analytical Processing (OLAP). S3 ensures a high level of data availability, scalability, performance, and storage.

There are several ways that S3 increases the efficiency of Oracle databases, with the most important being the lowering of payouts to Oracle. It is also wise to move entire databases from Oracle to S3, given the many benefits that such a move brings to the table. However, whether it suits specific organizations should be evaluated thoroughly before moving the database from Oracle to S3.

Here are three ways in which on-premises Oracle databases can be optimized on S3.

  •        Run EC2 compute instances and EBS (Elastic Block Store) storage in on-premises Oracle databases. Then replace the existing servers and storage with AWS infrastructure.
  •        Shift on-premises Oracle database to Amazon Relational Database Service, which is a managed database service for Oracle and other popular platforms. It helps reduce many management tasks of Oracle when operating on the AWS infrastructure.
  •        Amazon Aurora is not a precise replacement for Oracle, but has many critical features that are designed and optimized for the cloud infrastructure. Organizations looking to migrate databases to the cloud should opt for this platform. Incidentally, Amazon is also migrating to Aurora.

How users choose database migration from Oracle to S3 depends on the specific needs of organizations.   

Comments

Post a Comment

Popular posts from this blog

The Development of the Oracle Change Data Capture Technology

Image
  Oracle CDC ( Change Data Capture) was first launched by the company as a built-in tool in Oracle databases along with its 9i version. It was to record and track changes in the user tables in a database. These changes were stored in change tables to be later processed and transferred to other data warehouses and databases.  The first version of this technology had triggers placed in source databases and was not widely accepted, as it was considered too invasive. Based on this feedback from users, Oracle brought a change to the Oracle CDC , named it Oracle Streams, and released it with the 10g version.   The second version, named Oracle Streams, was more refined and widely accepted. It used the redo logs of the source database in combination with an in-built replication tool of Oracle Streams. Thus, any change was quickly noticed, with the change data being moved to a target data repository without affecting the performance or speed of the source database. What gave this...
Read more

An Insight Into Microsoft SQL Server Change Data Capture (CDC)

Image
SQL Server CDC (Change Data Capture) uses SQL Server to make changes like insert, update, and delete. The details of the changes can be accessed in a simple relational format. All inputs to capture the changes to a target ecosystem, like metadata and column information, are available for the modified and changed rows. The changes are captured and stored in tables that mirror the structure of the columns of the tracked stored tables. Necessary table-valued functions control the access to this change data. The SQL Server CDC technology ensures a smooth flow of change data that is structured to help users apply it to various target platforms.   Types of SQL Server Change Data Capture There are two types of SQL Server CDC. Log-based CDC : Here, the transaction log and file of a database are analyzed by the system to know about the changes made at the source. Next, all changes made at the source are replicated to the target database. The main benefit of this form of SQL Server CD...
Read more