Database migration is an essential process for many companies and businesses, allowing them to move data from single or multiple sources to a targeted database. Companies migrate data from one data to another for a wide range of reasons. 

For instance, some companies carry out the process to save resources, while others may want to streamline data operations by making their databases more secure on a cloud platform. The question is: how do I migrate a database? Here are the steps!

Step 1: Analyze Your Source Database  

Experts recommend analyzing your source database before moving your data. First, it is crucial to understand the source database size. Your database size and complexity determine the migration project’s scope. That way, you can determine the amount of computing resources and time required for data migration. 

In addition, look for large tables in your database. If you have large tables in your database with millions of rows, it is crucial to use a tool that performs parallel data loading processes. The type of data is another essential factor when attempting to move your database from the source platform to the target database. 

For instance, it is crucial to determine the schema conversion methods if you want to migrate data between multiple or different database engines, such as an Oracle database, to an SQL database. The purpose is to get the job done accurately without any problems.  

Step 2: Access your Database 

Accessing your database or the type of data you want to move is an essential process. The purpose is to perform data assessment and profile your source data. We recommend defining your data quality rules to eliminate different problems, such as duplicate values, redundancies, inconsistencies, and incorrect information. 

If you perform data profiling at an early stage, it will lead to complications. For example, you can experience the risk of delays, budget overruns, and complete project failure. Therefore, we suggest defining rules for your data quality to ensure your data is accurate. That way, you can streamline the migration process. 

Step 3: Convert Database Schema 

If you want to move your data from one database to another with different structures, you will have to perform database schema conversion. Unlike homogenous database migrations, heterogeneous migrations are relatively challenging and complex. 

Therefore, it is crucial to avoid frustration and save time using a data migration tool with schema conversion features. The purpose is to speed up the migration process and move your data from the source to the target database effectively.

Step 4: Test and Execute your Database Migration 

Testing is an essential aspect of migrating your database. Always start with a small data subset and profile it to ensure you are on the right track. That way, you can streamline processes like mapping, transformations, and rules for your data quality. 

Once you have tested a small subset of data, it is time to execute the migration. There are dozens of database migration tools. Each tool comes with unique features. We recommend choosing the one that offers data synchronization and changes data capture features. 

The purpose is to carry out the initial loading process and track changes during and after the initial load. After migrating all the data to the target database, make sure you implement a termination or retirement policy for the source database.