Data migration is the process of moving data from one system or environment to another. It’s an important part of modern business operations, as it enables businesses to take advantage of newer technologies and platforms while preserving their existing data. However, it can be a complex and challenging process, as it requires detailed planning and careful execution.
Data extraction is the first step in data migration. The goal of this phase is to extract the data from the source system and prepare it for transformation. This may involve extracting data from databases, text files, or other storage systems, and then converting it into a format that is compatible with the target system.
Data transformation is the process of transforming the extracted data into a format that is compatible with the target system. This may involve changing the data type, applying transformations to the data, or mapping the data between the source and target systems.
Data migration is the process of transferring the data from the source system to the target system. This phase can involve data cleansing, validation, and verification to ensure that the data is properly moved from one system to another.
Data loading is the process of loading the data into the target system. This may involve importing the data into databases, text files, or other storage systems. It may also involve creating new tables or columns in the target system for the imported data. Data loading should be done in a way that ensures the integrity of the data and the accuracy of the results.