Unit of competency Outline
Date retreived
23/07/2026 10:12 AM AWST
23/07/2026 10:12 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.
Build a data warehouse
Build a data warehouse
Unit of competency
National Code
ICADBS601B
ICADBS601B
State Code
WG938
WG938
TGA Status
Replaced
Replaced
DTWD Status
Replaced
Replaced
State Implementation and Classification
Approved Date
09/12/2013
Field of Education
020305 - Systems Analysis And Design
Original Release Date
09/12/2013
Nominal Hours
80
Description
This unit describes the performance outcomes, skills and knowledge required to undertake activities, from proposal to implementation stage, for a data warehouse model that reflects current and future business requirements and the business knowledge management strategy.
Notes
Elements and Performance Criteria
1. Confirm database design
- 1.1. Review database design document, including data structures, queries, reports and user interface
- 1.2. Identify possible big data applications
- 1.3. Compare database access and security feature design with business security plan
2. Identify required data and sources
- 2.1. Identify required data with reference to enterprise knowledge management strategy
- 2.2. Identify subject areas with reference to business processes and required data
- 2.3. Explore operational data, define warehouse sources, and record outcomes
- 2.4. Develop warehouse source specifications with reference to existing data tables and files
3. Determine data warehouse operational steps and processes
- 3.1. Develop warehouse targets with reference to business processes and required data
- 3.2. Identify warehouse agents according to system configuration
- 3.3. Identify and develop warehouse steps and processes
4. Design and develop data warehouse features
- 4.1. Design and develop warehouse user interface with reference to principles of user-interface design
- 4.2. Develop and implement warehouse security strategy according to enterprise security plan
- 4.3. Identify dimension tables and fact tables with reference to required data
- 4.4. Cost technology requirements for implementation of warehouse security strategy and include them in e-business budgeting
- 4.5. Develop warehouse information catalogue with reference to enterprise knowledge management strategy
5. Test and implement data warehouse
- 5.1. Test data warehouse against business requirements to ensure that iterations meet business objectives
- 5.2. Recommend changes to business processes to ensure compatibility with data warehouse and knowledge management strategy
- 5.3. Implement the data warehouse
- 5.4. Establish ongoing maintenance schedule to keep system efficient
- 5.5. Benchmark and document the performance level of the data warehouse
6. Finalise work processes
- 6.1. Arrange for users to have ongoing training in the data warehouse
- 6.2. Validate test results
- 6.3. Obtain sign-off of the data warehouse
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:
DB2
Informix
Ingres
Microsoft SQL (MS SQL) server
Mini SQL (mSQL)
MySQL
Oracle
Postgre Structured Query Language (Postgre SQL)
Sybase.
Document may relate to:
audit trails
client training
International Organization for Standardization (ISO) standards
maintaining equipment inventory
naming standards
project management templates and report writing
satisfaction reports
version control.
Big data may include:
data access that incorporates high volume, high velocity and a high variety of information with fast in-depth processing
data managed by large information management specialist companies using big data technologies, such as Software AG, Oracle, IBM, Microsoft, SAP, EMC, and HP
data that is distributed within the cloud across a wide number of database servers.
System may include:
application service provider (ASP)
applications
databases
gateways
internet service provider (ISP)
operating systems
servers.
Users may include:
department within an enterprise
person within a department
third party.
Database may include:
DB2
Informix
Ingres
Microsoft SQL (MS SQL) server
Mini SQL (mSQL)
MySQL
Oracle
Postgre Structured Query Language (Postgre SQL)
Sybase.
Document may relate to:
audit trails
client training
International Organization for Standardization (ISO) standards
maintaining equipment inventory
naming standards
project management templates and report writing
satisfaction reports
version control.
Big data may include:
data access that incorporates high volume, high velocity and a high variety of information with fast in-depth processing
data managed by large information management specialist companies using big data technologies, such as Software AG, Oracle, IBM, Microsoft, SAP, EMC, and HP
data that is distributed within the cloud across a wide number of database servers.
System may include:
application service provider (ASP)
applications
databases
gateways
internet service provider (ISP)
operating systems
servers.
Users may include:
department within an enterprise
person within a department
third party.
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:
undertake activities from proposal to implementation stage for a data warehouse model that reflects current and future business requirements and the business knowledge management strategy and demonstrates:
cost-benefit analysis of a data warehouse implementation for a defined enterprise
user guide for use by an implemented data warehouse
technical documentation for an implementation of a data warehouse.
Context of and specific resources for assessment
Assessment must ensure:
data in a DBMS
data-warehousing tools
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:
review of candidate’s written report
questioning to determine knowledge of relationship between databases and data warehouses
project to implement a data warehouse.
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:
undertake activities from proposal to implementation stage for a data warehouse model that reflects current and future business requirements and the business knowledge management strategy and demonstrates:
cost-benefit analysis of a data warehouse implementation for a defined enterprise
user guide for use by an implemented data warehouse
technical documentation for an implementation of a data warehouse.
Context of and specific resources for assessment
Assessment must ensure:
data in a DBMS
data-warehousing tools
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:
review of candidate’s written report
questioning to determine knowledge of relationship between databases and data warehouses
project to implement a data warehouse.
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 |
|---|---|---|---|
| D7779 | ICADBS601A | Build a data warehouse | Unit of competency |
Replaced By
| State Code | National Code | Title | Type |
|---|---|---|---|
| AUP44 | ICTDBS601 | Build a data warehouse | Unit of competency |
| State Code | National Code | Title | Type |
|---|---|---|---|
| D576 | ICA60111 | Advanced Diploma of Information Technology | Qualification |