Unit of competency Outline

Date retreived
22/07/2026 8:31 AM AWST

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Create a data warehouse

Create a data warehouse

Unit of competency
National Code
ICADBS503B
State Code
WG937
TGA Status
Replaced
DTWD Status
Replaced
Current Release Number
1.00
Current Release Date
07/11/2013
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
30
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. Identify required data and sources
  • 1.1. Identify required data according to enterprise knowledge management strategy
  • 1.2. Identify subject areas according to business processes and required data
  • 1.3. Explore operational data, define warehouse sources, and record outcomes
  • 1.4. Identify possible big data applications
  • 1.5. Develop warehouse source specifications according to existing data tables and files
2. Determine data warehouse operational steps and processes
  • 2.1. Develop warehouse targets according to business processes and required data
  • 2.2. Identify warehouse agents according to system configuration
  • 2.3. Identify and develop warehouse steps and processes
3. Design and develop data warehouse features
  • 3.1. Design and develop warehouse user interface according to principles of user-interface design
  • 3.2. Develop and implement warehouse security strategy according to enterprise security plan
  • 3.3. Identify dimension tables and fact tables according to required data
  • 3.4. Develop warehouse information catalogue according to enterprise knowledge management strategy
4. Test and implement data warehouse
  • 4.1. Test data warehouse against business requirements to ensure that iterations meet business objectives
  • 4.2. Recommend changes to business processes to ensure compatibility with data warehouse and knowledge management strategy
  • 4.3. Implement the data warehouse
  • 4.4. Establish ongoing maintenance schedule to keep system efficient
  • 4.5. Benchmark and document the performance level of the data warehouse
5. Finalise work processes
  • 5.1. Arrange for users to have ongoing training in the data warehouse
  • 5.2. Validate test results
  • 5.3. 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.
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 configuration may include:
configuration, such as:
small memory model
large memory model
requests per second
database software, such as:
DB2
Informix
Ingres
Microsoft SQL (MS SQL) server
Mini SQL (mSQL)
MySQL
Oracle
Sybase
operating systems, such as:
Linux
Mac
multi-user ability
Novell NetWare 5 or above
Windows 2000 or above.
Security plan may contain:
alerts
audits
handling theft
privacy
standards, including archival, backup and network
viruses.
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:
design a data warehouse model that reflects current and future business requirements and the business knowledge management strategy
implement the design.
Context of and specific resources for assessment
Assessment must ensure access to:
business requirements
computers configurable as information servers
enterprise knowledge management strategy
internet connectivity tools
local area network (LAN) with a relational database management system (DBMS)
proxy server software
specialised internet security software
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:
evaluation of candidate’s design of a data warehouse
review of candidate’s data warehouse documentation
verbal or written questioning to assess candidate’s knowledge of data sources and data warehouses
direct observation of candidate conducting data warehouse training.
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.
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
D7777 ICADBS503A Create a data warehouse Unit of competency
Replaced By
State Code National Code Title Type
AUT58 ICTDBS503 Create a data warehouse Unit of competency
State Code National Code Title Type
D557 ICA40111 Certificate IV in Information Technology Qualification