|
|
 |
 |
 |
- 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
|
|
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 to the right.
To migrate data from an existing Electronic Document Management System
(EDMS) to the new DCMS, we will
first analyze and document the migration requirement.
We expect to have several options that will enable
different activities to occur simultaneously, so the
migration timeline will be 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. |
| |
|
 |
 |
| 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. |
| |
|
