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Elements and Performance Criteria

  1. Identify required data and sources
  2. Determine data warehouse operational steps and processes
  3. Design and develop data warehouse features
  4. Test and implement data warehouse
  5. Finalise work processes

Required Skills

Required skills

analytical skills to

analyse business requirements

analyse data warehouse requirements and identify appropriate data

select the most appropriate data warehouse tool for enterprise needs

communication skills to

conduct training

liaise with senior management

literacy skills to

develop policy and procedures

develop data warehouse information catalogue

document performance level of data warehouse

produce data warehouse documentation

numeracy skills to conduct costbenefit analyses of the data warehouse project

planning and organisational skills to manage the data warehouse project including deliverables milestones and work breakdown structure

problemsolving skills to handle unexpected problems in design implementation and delivery of data warehouse

research skills to

be aware of the product range in data warehouses

keep informed of the latest activities in data warehouse design and use

technical skills to

design a suitable user interface

develop data warehouse source specifications

gather and analyse data

model data warehouse operational steps and processes

source data

use structured query language SQL where appropriate in the data warehousing activity

Required knowledge

functions and features of

data warehousing and data mining

dimension tables and fact tables

steps and processes including transformer steps program steps SQL steps and userdefined program steps

subject areas warehouse sources and warehouse targets

warehouse agents and agent sites

overview knowledge of

business operating systems relating to data sources

decision support systems relating to knowledge management strategies

Evidence Required

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 candidates design of a data warehouse

review of candidates data warehouse documentation

verbal or written questioning to assess candidates 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 nonEnglish 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


Range Statement

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.