Data migration is the process of transferring data from one system or format to another. This is often necessary when a company upgrades its technology or integrates different systems. The goal of data migration is to seamlessly move data from the old system/format to the new one, while preventing any data loss or corruption and ensuring the accuracy of the transferred data. Data migration involves several steps such as data extraction, data cleansing, data transformation, and data loading. These steps ensure that the data being transferred is compatible with the new system/format and is free from any errors or inconsistencies. During the planning phase, it is important to identify the scope and objectives of the data migration project, determine the data to be migrated, assess the quality and readiness of the data, and establish a timeline and resources needed for the migration. The execution phase involves extracting the data from the source system, cleaning and transforming the data to meet the requirements of the target system, and loading the data into the new system. It is crucial to validate the data at each step of the migration process to ensure its accuracy and integrity. Data migration can be a complex and time-consuming process, and it requires careful planning and coordination among various stakeholders. It is important to involve subject matter experts and data migration specialists to ensure the success of the migration and minimize any potential risks or disruptions to business operations.