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Evidence Guide: ICADBS503B - Create a data warehouse

Student: __________________________________________________

Signature: _________________________________________________

Tips for gathering evidence to demonstrate your skills

The important thing to remember when gathering evidence is that the more evidence the better - that is, the more evidence you gather to demonstrate your skills, the more confident an assessor can be that you have learned the skills not just at one point in time, but are continuing to apply and develop those skills (as opposed to just learning for the test!). Furthermore, one piece of evidence that you collect will not usualy demonstrate all the required criteria for a unit of competency, whereas multiple overlapping pieces of evidence will usually do the trick!

From the Wiki University

 

ICADBS503B - Create a data warehouse

What evidence can you provide to prove your understanding of each of the following citeria?

Identify required data and sources

  1. . Identify required data according to enterprise knowledge management strategy
  2. . Identify subject areas according to business processes and required data
  3. . Explore operational data, define warehouse sources, and record outcomes
  4. . Identify possible big data applications
  5. . Develop warehouse source specifications according to existing data tables and files
. Identify required data according to enterprise knowledge management strategy

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

. Identify subject areas according to business processes and required data

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

. Explore operational data, define warehouse sources, and record outcomes

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

. Identify possible big data applications

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

. Develop warehouse source specifications according to existing data tables and files

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Determine data warehouse operational steps and processes

  1. . Develop warehouse targets according to business processes and required data
  2. . Identify warehouse agents according to system configuration
  3. . Identify and develop warehouse steps and processes
. Develop warehouse targets according to business processes and required data

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

. Identify warehouse agents according to system configuration

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

. Identify and develop warehouse steps and processes

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Design and develop data warehouse features

  1. . Design and develop warehouse user interface according to principles of user-interface design
  2. . Develop and implement warehouse security strategy according to enterprise security plan
  3. . Identify dimension tables and fact tables according to required data
  4. . Develop warehouse information catalogue according to enterprise knowledge management strategy
. Design and develop warehouse user interface according to principles of user-interface design

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

. Develop and implement warehouse security strategy according to enterprise security plan

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

. Identify dimension tables and fact tables according to required data

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

. Develop warehouse information catalogue according to enterprise knowledge management strategy

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Test and implement data warehouse

  1. . Test data warehouse against business requirements to ensure that iterations meet business objectives
  2. . Recommend changes to business processes to ensure compatibility with data warehouse and knowledge management strategy
  3. . Implement the data warehouse
  4. . Establish ongoing maintenance schedule to keep system efficient
  5. . Benchmark and document the performance level of the data warehouse
. Test data warehouse against business requirements to ensure that iterations meet business objectives

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

. Recommend changes to business processes to ensure compatibility with data warehouse and knowledge management strategy

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

. Implement the data warehouse

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

. Establish ongoing maintenance schedule to keep system efficient

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

. Benchmark and document the performance level of the data warehouse

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Finalise work processes

  1. . Arrange for users to have ongoing training in the data warehouse
  2. . Validate test results
  3. . Obtain sign-off of the data warehouse
. Arrange for users to have ongoing training in the data warehouse

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

. Validate test results

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

. Obtain sign-off of the data warehouse

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Assessed

Teacher: ___________________________________ Date: _________

Signature: ________________________________________________

Comments:

 

 

 

 

 

 

 

 

Instructions to Assessors

Evidence Guide

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.

Required Skills and Knowledge

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 cost-benefit analyses of the data warehouse project

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

problem-solving 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 user-defined 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

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.