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[1] [3] Thus, proper planning is critical for an effective data migration. While the specifics of a data migration plan may vary—sometimes significantly—from project to project, IBM suggests there are three main phases to most any data migration project: planning, migration, and post-migration. [2] Each of those phases has its own steps.
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.
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.
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 extraction is the act or process of retrieving data out of (usually unstructured or poorly structured) data sources for further data processing or data storage (data migration). The import into the intermediate extracting system is thus usually followed by data transformation and possibly the addition of metadata prior to export to another ...
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Migration can involve moving to new hardware, new software, or both. Migration can be small-scale, such as migrating a single system, or large-scale, involving many systems, new applications, or a redesigned network. [23] One can migrate data from one kind of database to another kind of database.
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