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Data migration is the process of selecting, preparing, extracting, and transforming data and permanently transferring it from one computer storage system to another. . Additionally, the validation of migrated data for completeness and the decommissioning of legacy data storage are considered part of the entire data migrati
Data conversion is the conversion of computer data from one format to another. Throughout a computer environment, data is encoded in a variety of ways. For example, computer hardware is built on the basis of certain standards, which requires that data contains, for example, parity bit checks.
Batch data transformation is the cornerstone of virtually all data integration technologies such as data warehousing, data migration and application integration. [1] When data must be transformed and delivered with low latency, the term "microbatch" is often used. [6]
Data mappings can be done in a variety of ways using procedural code, creating XSLT transforms or by using graphical mapping tools that automatically generate executable transformation programs. These are graphical tools that allow a user to "draw" lines from fields in one set of data to fields in another.
The size of the data to be migrated makes the very resource-intensive (Source- Destination- Temporary- storage, network bandwidth, etc.), which means that auditing the migration process could also be complex and require consistency and traceability. Another common issue in content migration is the loss of SEO and page rank in search engines.
Migration can be from a mainframe computer which has a closed architecture, to an open system which employ x86 servers. As well, migration can be from an open system to a Cloud Computing platform. The motivation for this can be the cost savings. [1] Migration can be simplified by tools that can automatically convert data from one form to another.