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As technology advances, it often
becomes necessary to move data from an old storage type, format, or
system to a new one.
AINS follows a proven data migration process based on many years of
experience and a broad range of data types. At project initiation, we
assess, in detail, the issues of application code, data flow, modeling,
quality, ambiguity, and redundancy, and then will plan and execute data
migration from the legacy system into the newly installed DCMS
Management System using the process shown. |
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- Plan conversion
- Create conversion specifications
- Create scripts
- Extract data to intermediate schemas
- Verify data
- Condition and transform data
- Clean and integrate data
- Aggregate load data
- Move, load, index data
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To migrate data from an existing
Electronic Document Management System (EDMS) to the new DCMS, we first
analyze and document the migration requirements. Our strategy is to
produce several options, this enables different activities to occur
simultaneously—ensuring the migration timeline is as short as possible.
We determine the best route to migrate source data to the target
database by considering available resources, source data volume, numbers
of different source schemas, number and types of different access
methods and platforms, data and database structure, and the amount of
data aggregation required.
Next, we develop a strategy for moving data to a common staging area and
take into account available machine resources, and volume of source
data.
Based on the foregoing and other considerations, we submit a Draft
Migration Plan for client review and comment within an agreed time after
contract award. We then incorporate the client’s comments and submit a
Final Data migration Plan.Following the approved Migration Plan, we
populate the database and complete the file structure, accompanied by a
complete set of the data migration instructions and scripts. |
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| The AINS Team has performed data
migration for many large and small customers. Our list of successful
data migrations continues to grow. AINS has converted numerous projects
ranging from few megabytes of data to multiple gigabytes of mainframe
data from disparate sources into a COTS database. Because complete and
accurate data conversion and migration are critical to the new system,
AINS applies a detailed and proven process at each stage. |
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