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Data Migration is the process of moving static or preexisting
long-term retention data to a newer technology. The process and issues are largely
dictated by the platforms and applications involved. Why migrate data? To take
full advantage of newer technologies and your investment in them, it is necessary
to port your older data to such new storage platforms.
Why Careful Data Migration Is Critical?
Data play a key role in providing operational efficiency with regard to automated
provisioning. There are two main aspects that need to be considered:
Data integrity
Data flow
Data integrity ensures that data entered into an operations system are in the
proper format to support operations with upstream or downstream systems. When
naming conventions and standards are not adopted early on in a deployment, there
is usually more rework required when flow through operations are later implemented.
Another aspect of data integrity involves keeping OSS databases in sync with the
network elements.
Organizing for Smooth Data Migration When a complex integrated product solution
is deployed, data integrity is critical from start. There are usually several
sources of data that need to be migrated into newly deployed operations systems.
Data can be in the form of paper records, spreadsheets, or relational databases.
The source of the data can be office records, network element dumps, or legacy
operations systems.
The task of migrating the data can be more difficult given the diverse operating
environments that result from mergers within the service provider industry. Merging
data from several sources into a common format requires that naming conventions
are standardized and formats of both the data source and destination database
are well understood.
IPMS Data Migration Process Our experts are highly professional
in keeping high data integrity through data migration is to ensure that the following
functions are covered:
Project Management Prior to an actual data migration, diligent
tracking of work items that may be required to scrub the data is necessary. This
is particularly important when migrating from stand-alone systems to an integrated
environment. Making changes across several independent systems needs to be a coordinated
process, as source data need to be in the best possible condition to ensure smooth
data migration.
Relational Database Development Relational database scripts can
be used to both identify data inconsistencies and to make bulk changes required
prior to migration. A team of programmers needs to be able to analyze data and
respond with scripts required to modify the data. Scripts are also used to unload
and load data from various systems.
Operations Engineering Knowledge of how the customer's operations
and the OSS work together in an integrated solution is needed to ensure that the
resulting data will support the provisioning process. There also needs to be base-lined
requirements for the services that will be supported with the solution.
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