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Evidence Guide: ICADBS601B - Build 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

 

ICADBS601B - Build a data warehouse

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

Confirm database design

  1. . Review database design document, including data structures, queries, reports and user interface
  2. . Identify possible big data applications
  3. . Compare database access and security feature design with business security plan
. Review database design document, including data structures, queries, reports and user interface

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

. Identify possible big data applications

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

. Compare database access and security feature design with business security plan

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Identify required data and sources

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

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

. Identify subject areas with reference to business processes and required data

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

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

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

. Develop warehouse source specifications with reference to existing data tables and files

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Determine data warehouse operational steps and processes

  1. . Develop warehouse targets with reference 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 with reference 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 with reference 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 with reference to required data
  4. . Cost technology requirements for implementation of warehouse security strategy and include them in e-business budgeting
  5. . Develop warehouse information catalogue with reference to enterprise knowledge management strategy
. Design and develop warehouse user interface with reference 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 with reference to required data

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

. Cost technology requirements for implementation of warehouse security strategy and include them in e-business budgeting

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

. Develop warehouse information catalogue with reference 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:

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.

Required Skills and Knowledge

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

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.

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.