Unit of Competency Mapping – Information for Teachers/Assessors – Information for Learners

ICADBS601B Mapping and Delivery Guide
Build a data warehouse

Version 1.0
Issue Date: March 2024


Qualification -
Unit of Competency ICADBS601B - Build a data warehouse
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.
Employability Skills This unit contains employability skills.
Learning Outcomes and Application This unit applies to those managing a knowledge management team, or working in a senior role in such a team. Those with line management responsibility should undertake this role.
Duration and Setting X weeks, nominally xx hours, delivered in a classroom/online/blended learning setting.
Prerequisites/co-requisites Not applicable.
Competency Field
Development and validation strategy and guide for assessors and learners Student Learning Resources Handouts
Activities
Slides
PPT
Assessment 1 Assessment 2 Assessment 3 Assessment 4
Elements of Competency Performance Criteria              
Element: Confirm database design
  • . Review database design document, including data structures, queries, reports and user interface
  • . Identify possible big data applications
  • . Compare database access and security feature design with business security plan
       
Element: Identify required data and sources
  • . Identify required data with reference to enterprise knowledge management strategy
  • . Identify subject areas with reference to business processes and required data
  • . Explore operational data, define warehouse sources, and record outcomes
  • . Develop warehouse source specifications with reference to existing data tables and files
       
Element: Determine data warehouse operational steps and processes
  • . Develop warehouse targets with reference to business processes and required data
  • . Identify warehouse agents according to system configuration
  • . Identify and develop warehouse steps and processes
       
Element: Design and develop data warehouse features
  • . Design and develop warehouse user interface with reference to principles of user-interface design
  • . Develop and implement warehouse security strategy according to enterprise security plan
  • . Identify dimension tables and fact tables with reference to required data
  • . Cost technology requirements for implementation of warehouse security strategy and include them in e-business budgeting
  • . Develop warehouse information catalogue with reference to enterprise knowledge management strategy
       
Element: Test and implement data warehouse
  • . Test data warehouse against business requirements to ensure that iterations meet business objectives
  • . Recommend changes to business processes to ensure compatibility with data warehouse and knowledge management strategy
  • . Implement the data warehouse
  • . Establish ongoing maintenance schedule to keep system efficient
  • . Benchmark and document the performance level of the data warehouse
       
Element: Finalise work processes
  • . Arrange for users to have ongoing training in the data warehouse
  • . Validate test results
  • . Obtain sign-off of the data warehouse
       


Evidence Required

List the assessment methods to be used and the context and resources required for assessment. Copy and paste the relevant sections from the evidence guide below and then re-write these in plain English.

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.


Submission Requirements

List each assessment task's title, type (eg project, observation/demonstration, essay, assignment, checklist) and due date here

Assessment task 1: [title]      Due date:

(add new lines for each of the assessment tasks)


Assessment Tasks

Copy and paste from the following data to produce each assessment task. Write these in plain English and spell out how, when and where the task is to be carried out, under what conditions, and what resources are needed. Include guidelines about how well the candidate has to perform a task for it to be judged satisfactory.

Required skills

analytical skills to:

analyse business requirements

gather and analyse user requirements

communication skills to liaise with business and technical staff

literacy skills to prepare reports and technical documentation

numeracy skills to complete cost-benefit analyses

planning and organisational skills to manage data warehouse implementation

technical skills to:

convert and validate data

perform data modelling

work with databases, including programming languages

Required knowledge

business operating systems relating to data sources

database management system (DBMS) fundamentals to facilitate extraction of data

decision support systems relating to knowledge management strategies

encryption and authentication as they apply to database security features

functions and features of dimension tables and fact tables

installation and use of proprietary software

logical database model knowledge to facilitate data extraction

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.

Copy and paste from the following performance criteria to create an observation checklist for each task. When you have finished writing your assessment tool every one of these must have been addressed, preferably several times in a variety of contexts. To ensure this occurs download the assessment matrix for the unit; enter each assessment task as a column header and place check marks against each performance criteria that task addresses.

Observation Checklist

Tasks to be observed according to workplace/college/TAFE policy and procedures, relevant legislation and Codes of Practice Yes No Comments/feedback
. Review database design document, including data structures, queries, reports and user interface 
. Identify possible big data applications 
. Compare database access and security feature design with business security plan 
. Identify required data with reference to enterprise knowledge management strategy 
. Identify subject areas with reference to business processes and required data 
. Explore operational data, define warehouse sources, and record outcomes 
. Develop warehouse source specifications with reference to existing data tables and files 
. Develop warehouse targets with reference to business processes and required data 
. Identify warehouse agents according to system configuration 
. Identify and develop warehouse steps and processes 
. Design and develop warehouse user interface with reference to principles of user-interface design 
. Develop and implement warehouse security strategy according to enterprise security plan 
. Identify dimension tables and fact tables with reference to required data 
. Cost technology requirements for implementation of warehouse security strategy and include them in e-business budgeting 
. Develop warehouse information catalogue with reference to enterprise knowledge management strategy 
. Test data warehouse against business requirements to ensure that iterations meet business objectives 
. Recommend changes to business processes to ensure compatibility with data warehouse and knowledge management strategy 
. Implement the data warehouse 
. Establish ongoing maintenance schedule to keep system efficient 
. Benchmark and document the performance level of the data warehouse 
. Arrange for users to have ongoing training in the data warehouse 
. Validate test results 
. Obtain sign-off of the data warehouse 

Forms

Assessment Cover Sheet

ICADBS601B - Build a data warehouse
Assessment task 1: [title]

Student name:

Student ID:

I declare that the assessment tasks submitted for this unit are my own work.

Student signature:

Result: Competent Not yet competent

Feedback to student

 

 

 

 

 

 

 

 

Assessor name:

Signature:

Date:


Assessment Record Sheet

ICADBS601B - Build a data warehouse

Student name:

Student ID:

Assessment task 1: [title] Result: Competent Not yet competent

(add lines for each task)

Feedback to student:

 

 

 

 

 

 

 

 

Overall assessment result: Competent Not yet competent

Assessor name:

Signature:

Date:

Student signature:

Date: