Before cloud services made a huge impact on IT sectors a considerable number of medium and large-scale organizations were utilizing the on-premise Oracle database as part of their IT stack. Out of those many are still using the on-premise database version.

As the size of organizational data increases, their database architecture ecosystem starts to get stretched. It needed better management, higher storage, and processing power that increased the overall cost. With this increased data size, many organizations find it difficult to maintain their databases at optimum costs while addressing the increasing complexity.

They need a platform that will provide improved performance and operational benefits. Hence, here comes Microsoft Azure into the picture. In this article, we will discuss steps to migrate an on premise Oracle database to Azure.

This technology migration requires good planning, thoroughness, and processes as any software or hardware project. To migrate an on-premise Oracle database to Azure is a 3-phase approach.

Oracle Database Migration Process:

As a database migration services provider, we follow best practices in end-to-end migration which can be distributed in three phases and where each phase consists of one or more activities.The three phases of migrating oracle databases are Pre-migration, Migration, and Post-migration.

1. The Pre-migration phase oracle database to Azure cloud:

To migrate an on-premise Oracle database to Azure in phase has mainly three activities; 1) Analysis, 2) Discover, 3) Assess and Convert. All three are important to prepare a plan for a successful migration.

Analysis: Verifies the source and target environment feasibility for commencing the migration. Also, you can utilize the Azure Total Cost of Ownership calculator to estimate the cost savings by migrating database workloads to Azure.

Discover: to identify the existing data source and details about the features that are being used to prepare a plan for the migration.

Assess and Convert:The Assess activity is to assess any gap between the source Oracle database and the target Azure SQL Database. This can be achieved using the SSMA tool; to review database objects and data, assess Oracle database objects, migrate Oracle DB objects to Azure SQL Db, and finally, migrate the data to target Azure SQL Database. The Convert activity performs schema conversion. Once the schema conversion is done, to identify the gaps it compares and reviews the structure of the schema.

Note* The Convert activity is required in heterogeneous migration schema and to convert the source schema to work in the target schema.

2. The Migration phase oracle database to azure cloud:

Azure cloud migration involves publishing the schema and data migration. SSMA is the tool to achieve this. This phase has three activities namely, 1) Publish Schema, 2) Data Migration, 3) Data Sync. All three are important for successful migration and to decide the cutover from the source to the target environment.

Publish Schema: Publishing the schema to the target Azure SQL DB using the SSMA tool. SSMA provides a method to assess the source and target schemas offline and make necessary changes before publishing the schema to Azure.

Data Migration: After successfully publishing the schema, the further activity is to migrate source data to the target DB.

Data Sync: These steps confirm that all changes in the source are captured and transferred to the target immediately.

3. The Post-migration oracle database to azure cloud:

After the migration process we ensure that everything is functioning efficiently and for that, there are three activities: 1) Validation, 2) Application Remediation, 3) Performance Validation and Optimization.

Validation: Validate the DB migration is completed and data has migrated to the target environment.

Application Remediation: To make sure that all the required changes to the app after the data is migrated to the target environment. It is expected the app should start using the data from the target environment after migration.

Performance validation and optimization: to deal with data accuracy issues and to take care of performance issues.

For any successful technology migration, a defined approach and solid plan are required. Togglr is one of those Successful Organization where we have a specific approach to the oracle database migration challenges and requirements, we go by a phase by phase approach starting from Cloud Readiness Assessment to building prototype for migration as a Pilot Mode, Strategizing, Migrating and then Optimizing according to the requirement. Contact us to migrate an on-premises oracle database to Azure cloud.