Unit of competency Outline
Date retreived
22/07/2026 6:57 AM AWST
22/07/2026 6:57 AM AWST
Whilst all efforts are made to provide accurate and timely information from the relevant source/documentation, please be aware that the information supplied may not be the most current version. The accuracy of the detail has not been confirmed by the Department and therefore should not be relied upon without first confirming the contents.
Complete data transition in data migration process
Complete data transition in data migration process
Unit of competency
National Code
ICASAS408A
ICASAS408A
State Code
D8070
D8070
TGA Status
Replaced
Replaced
DTWD Status
Replaced
Replaced
State Implementation and Classification
Approved Date
04/11/2011
Field of Education
020303 - Database Management
Original Release Date
04/11/2011
Nominal Hours
25
Description
This unit describes the performance outcomes, skills and knowledge required to undertake manipulation, migration and conversion of data between systems or databases while maintaining data integrity.
Notes
Elements and Performance Criteria
1. Perform data transition
- 1.1 Identify and document the data that is to be migrated, transferred or archived
- 1.2 Collect required data, target database requirements and implementation details
- 1.3 Clean up data to match new data structures and rules
- 1.4 Write and test conversion programs if required by the implementation plan, or use conversion tools
- 1.5 Ensure clean data take-on by re-keying or converting according to database requirements and conversion plan
- 1.6 Migrate data to target environment
- 1.7 Archive data according to requirements
2. Check data transition
- 2.1 Run reports and other tests on old and new data to verify the quantity and quality of data transition
- 2.2 Run production or specialised programs against data to confirm control totals
- 2.3 Check referential integrity and data constraints and requirements against database requirements and conversion plan
- 2.4 Verify that data transition has been completed according to requirements and plans
The range statement relates to the unit of competency as a whole. It allows for different work environments and situations that may affect performance. Bold italicised wording, if used in the performance criteria, is detailed below. Essential operating conditions that may be present with training and assessment (depending on the work situation, needs of the candidate, accessibility of the item, and local industry and regional contexts) may also be included.
Database may include:
commercial off-the-shelf (COTS) database packages
object-relational databases
proprietary databases
relational databases.
Conversion tools may include:
data mart management tools
tools for cleansing data, e.g. integrity, enterprise and integrator
tools for extraction and transformation, e.g. ETI Extract, Passport, Warehouse Manager, InfoPump, InfoHub, InfoRefiner and InfoSuite
tools that analyse data quality, e.g. QDB/Analyze, WizRule, and Unitech Systems Inc.
Database may include:
commercial off-the-shelf (COTS) database packages
object-relational databases
proprietary databases
relational databases.
Conversion tools may include:
data mart management tools
tools for cleansing data, e.g. integrity, enterprise and integrator
tools for extraction and transformation, e.g. ETI Extract, Passport, Warehouse Manager, InfoPump, InfoHub, InfoRefiner and InfoSuite
tools that analyse data quality, e.g. QDB/Analyze, WizRule, and Unitech Systems Inc.
The evidence guide provides advice on assessment and must be read in conjunction with the performance criteria, required skills and knowledge, range statement and the Assessment Guidelines for the Training Package.
Overview of assessment
Critical aspects for assessment and evidence required to demonstrate competency in this unit
Evidence of the ability to:
transfer data from one system to another
produce consistency in results, database verification, and integrity and security of data
use organisation's record-keeping arrangements and security and access level procedures
demonstrate knowledge of data structures.
Context of and specific resources for assessment
Assessment must ensure access to:
conversion program, if necessary
data conversion plan
databases to store data
implementation plan
appropriate learning and assessment support when required
modified equipment for people with special needs.
Method of assessment
A range of assessment methods should be used to assess practical skills and knowledge. The following examples are appropriate for this unit:
verbal or written questioning to assess candidate’s knowledge of:
data structures
transition tools
quality assurance
system backup and restore procedures
change management
direct observation of candidate:
archiving data
adjusting data to match new data structures
review of reports generated by candidate that verify the data transition.
Guidance information for assessment
Holistic assessment with other units relevant to the industry sector, workplace and job role is recommended, where appropriate.
Assessment processes and techniques must be culturally appropriate, and suitable to the communication skill level, language, literacy and numeracy capacity of the candidate and the work being performed.
Indigenous people and other people from a non-English speaking background may need additional support.
In cases where practical assessment is used it should be combined with targeted questioning to assess required knowledge.
Overview of assessment
Critical aspects for assessment and evidence required to demonstrate competency in this unit
Evidence of the ability to:
transfer data from one system to another
produce consistency in results, database verification, and integrity and security of data
use organisation's record-keeping arrangements and security and access level procedures
demonstrate knowledge of data structures.
Context of and specific resources for assessment
Assessment must ensure access to:
conversion program, if necessary
data conversion plan
databases to store data
implementation plan
appropriate learning and assessment support when required
modified equipment for people with special needs.
Method of assessment
A range of assessment methods should be used to assess practical skills and knowledge. The following examples are appropriate for this unit:
verbal or written questioning to assess candidate’s knowledge of:
data structures
transition tools
quality assurance
system backup and restore procedures
change management
direct observation of candidate:
archiving data
adjusting data to match new data structures
review of reports generated by candidate that verify the data transition.
Guidance information for assessment
Holistic assessment with other units relevant to the industry sector, workplace and job role is recommended, where appropriate.
Assessment processes and techniques must be culturally appropriate, and suitable to the communication skill level, language, literacy and numeracy capacity of the candidate and the work being performed.
Indigenous people and other people from a non-English speaking background may need additional support.
In cases where practical assessment is used it should be combined with targeted questioning to assess required knowledge.
Replaces
| State Code | National Code | Title | Type |
|---|---|---|---|
| D0119 | ICAI5096B | Complete data transition | Unit of competency |
Replaced By
| State Code | National Code | Title | Type |
|---|---|---|---|
| AUW29 | ICTSAS408 | Complete data transition in data migration process | Unit of competency |
| State Code | National Code | Title | Type |
|---|---|---|---|
| D557 | ICA40111 | Certificate IV in Information Technology | Qualification |