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Evidence Guide: ICTDBS503 - 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

 

ICTDBS503 - Create a data warehouse

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

Identify the required data and sources

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

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Identify the subject areas, according to the business processes and the required enterprise data

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

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

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Develop the warehouse source specifications, according to the existing data tables and files

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Determine warehouse operational steps and processes

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

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Identify the warehouse agents, according to the system’s configuration

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Identify and develop, warehouse steps and processes

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Design and develop warehouse features

  1. Design and develop the warehouse user interface, according to the principles of user interface design
  2. Develop and implement the warehouse security strategy, according to the enterprise’s security plan
  3. Identify dimension tables and fact tables, according to the required enterprise data
  4. 3.4 Develop the warehouse information catalogue, according to the enterprise's knowledge management strategy
Design and develop the warehouse user interface, according to the principles of user interface design

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Develop and implement the warehouse security strategy, according to the enterprise’s security plan

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Identify dimension tables and fact tables, according to the required enterprise data

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

3.4 Develop the warehouse information catalogue, according to the enterprise's knowledge management strategy

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Test and implement the data warehouse

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

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

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

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Implement the data warehouse

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Establish an ongoing maintenance schedule to keep the 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 the test results
  3. Obtain sign-off for the data warehouse
Arrange for users to have ongoing training in the data warehouse

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Validate the test results

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Obtain sign-off for the data warehouse

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Assessed

Teacher: ___________________________________ Date: _________

Signature: ________________________________________________

Comments:

 

 

 

 

 

 

 

 

Instructions to Assessors

Evidence Guide

ELEMENT

PERFORMANCE CRITERIA

Elements describe the essential outcomes.

Performance criteria describe the performance needed to demonstrate achievement of the element.

1. Identify the required data and sources

1.1 Identify the required organisational data, according to the enterprise’s knowledge management strategy

1.2 Identify the subject areas, according to the business processes and the required enterprise data

1.3 Explore the operational data, define the warehouse sources, and record the outcomes

1.4 Develop the warehouse source specifications, according to the existing data tables and files

2. Determine warehouse operational steps and processes

2.1 Develop the warehouse targets, according to the business processes and the required enterprise data

2.2 Identify the warehouse agents, according to the system’s configuration

2.3 Identify and develop, warehouse steps and processes

3. Design and develop warehouse features

3.1 Design and develop the warehouse user interface, according to the principles of user interface design

3.2 Develop and implement the warehouse security strategy, according to the enterprise’s security plan

3.3 Identify dimension tables and fact tables, according to the required enterprise data

3.4 Develop the warehouse information catalogue, according to the enterprise's knowledge management strategy

4. Test and implement the data warehouse

4.1 Test data the warehouse against the business requirements, to ensure that iterations meet the business objectives

4.2 Recommend changes to business processes, to ensure compatibility with the data warehouse and the knowledge management strategy

4.3 Implement the data warehouse

4.4 Establish an ongoing maintenance schedule to keep the 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 the test results

5.3 Obtain sign-off for the data warehouse

Required Skills and Knowledge

ELEMENT

PERFORMANCE CRITERIA

Elements describe the essential outcomes.

Performance criteria describe the performance needed to demonstrate achievement of the element.

1. Identify the required data and sources

1.1 Identify the required organisational data, according to the enterprise’s knowledge management strategy

1.2 Identify the subject areas, according to the business processes and the required enterprise data

1.3 Explore the operational data, define the warehouse sources, and record the outcomes

1.4 Develop the warehouse source specifications, according to the existing data tables and files

2. Determine warehouse operational steps and processes

2.1 Develop the warehouse targets, according to the business processes and the required enterprise data

2.2 Identify the warehouse agents, according to the system’s configuration

2.3 Identify and develop, warehouse steps and processes

3. Design and develop warehouse features

3.1 Design and develop the warehouse user interface, according to the principles of user interface design

3.2 Develop and implement the warehouse security strategy, according to the enterprise’s security plan

3.3 Identify dimension tables and fact tables, according to the required enterprise data

3.4 Develop the warehouse information catalogue, according to the enterprise's knowledge management strategy

4. Test and implement the data warehouse

4.1 Test data the warehouse against the business requirements, to ensure that iterations meet the business objectives

4.2 Recommend changes to business processes, to ensure compatibility with the data warehouse and the knowledge management strategy

4.3 Implement the data warehouse

4.4 Establish an ongoing maintenance schedule to keep the 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 the test results

5.3 Obtain sign-off for the data warehouse

Evidence of the ability to:

prepare the specifications for a data warehouse, from a range of organisational information

design a data warehouse system that reflects the current, and future, business specifications, and also the business’s knowledge management strategy

test the data warehouse system

implement the data warehouse design.

Note: If a specific volume or frequency is not stated, then evidence must be provided at least once.

To complete the unit requirements safely and effectively, the individual must:

explain the functions and features of:

data warehousing and data mining

dimension tables and fact tables

various steps and processes, including transformer steps, program steps, structured query language (SQL) steps, and user-defined program steps

subject areas, warehouse sources and warehouse targets

warehouse agents and agent sites

outline the business operating systems related to the data sources

describe the decision support systems related to the knowledge management strategies

define the parameters for a security plan

outline the system’s configuration parameters

describe the key features of "Big Data" including:

data access speeds and processing

the information handled by large corporations

distribution, via the cloud, across the database servers.