Data Migration is challenging and exasperating. It is not uncommon for migration projects to throw plans out of gear. However it is inevitable for constantly changing organizations to migrate data irrespective of its complexities, risks and costs involved. Companies aspire a business-as-usual pain-free data migration strategy and execution.
Typical needs for migration in Organizations
Need for Migrations could result from various causes in an organization, It can be due to application modernization, mergers and acquisition, implementing a new software or integration of two systems, migration to cloud or regulatory mandates. No matter what the reason is an effective strategy and proven platform becomes imperative in the whole journey.
Failure to follow Migration Best Practices & Use Standard Tools
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General Integration Data eXchange (GIDX) is the platform’s neutral payload format that can transfer custom data over-the-wire for an effective data exchange between systems. The payload backbone handles custom data types, attributes, relations, relation attributes, files and formats, transformations and character encoding definitions.
Data Migration in Action
Albatross follows an ETL migration mechanism with configurability at every step. All steps are discrete and can be performed re-starting at a point where it was left off previously. Logs and notifications are generated at each module for validation and resumption.
- Choose Source System.
- Choose Destination System.
- Point to Workspace Directory
- Indicate Transformation Directory.
- Data Mapping Source Attributes.
- Validation Set Choice.
- Execute Validator.
- Generate Analytics
- Post it to Crius Falcon Analytics Server.
- Launch Pre-Migration Validation Analysis.
Configurable Dashboard to display data aggregates prior to and post transformation
- File Open issues.
- Missing References.
- Data Type Mismatch and Format changes.
- Duplicates & Missing Attributes.
- Special character changes.
- Validation Set Choice.
- Execute Validator.
- Generate Analytics.
- Post it to Crius Falcon Analytics Server.
- Launch Pre-Migration Validation Analysis.
Data Transformation Mapper for Custom Attribute Settings on variations between Source and Destination Systems
Transformation Options -
- Attribute transformations can be simple value changes to split and merge. Complicated transformations can be achieved with Custom Program Plug-In with fuzzy mapper logic.
Transformation Mapper -
- Configurable mapper for various combinations of meta-data transfer provides clutter transformations in data and formats.
- CSV based objects, relationships and file entries.
- Physical file paths correlated for check-in.
- Add / Mod / Delete / Replace modes.
- Log and Notification settings.
- Error and Resume settings.
- Loader parallelization.
- Command Line syntax for App extension.