NTISthis.com

Evidence Guide: ICASAS408A - Complete data transition in data migration process

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

 

ICASAS408A - Complete data transition in data migration process

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

Perform data transition

  1. Identify and document the data that is to be migrated, transferred or archived
  2. Collect required data, target database requirements and implementation details
  3. Clean up data to match new data structures and rules
  4. Write and test conversion programs if required by the implementation plan, or use conversion tools
  5. Ensure clean data take-on by re-keying or converting according to database requirements and conversion plan
  6. Migrate data to target environment
  7. Archive data according to requirements
Identify and document the data that is to be migrated, transferred or archived

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Collect required data, target database requirements and implementation details

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Clean up data to match new data structures and rules

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Write and test conversion programs if required by the implementation plan, or use conversion tools

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Ensure clean data take-on by re-keying or converting according to database requirements and conversion plan

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Migrate data to target environment

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Archive data according to requirements

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Check data transition

  1. Run reports and other tests on old and new data to verify the quantity and quality of data transition
  2. Run production or specialised programs against data to confirm control totals
  3. Check referential integrity and data constraints and requirements against database requirements and conversion plan
  4. Verify that data transition has been completed according to requirements and plans
Run reports and other tests on old and new data to verify the quantity and quality of data transition

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Run production or specialised programs against data to confirm control totals

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Check referential integrity and data constraints and requirements against database requirements and conversion plan

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Verify that data transition has been completed according to requirements and plans

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:

transfer data from one system to another

produce consistency in results, database verification, and integrity and security of data

use organisation's record-keeping arrangements and security and access level procedures

demonstrate knowledge of data structures.

Context of and specific resources for assessment

Assessment must ensure access to:

conversion program, if necessary

data conversion plan

databases to store data

implementation plan

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:

verbal or written questioning to assess candidate’s knowledge of:

data structures

transition tools

quality assurance

system backup and restore procedures

change management

direct observation of candidate:

archiving data

adjusting data to match new data structures

review of reports generated by candidate that verify the data transition.

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 new data structures and their match to existing data

literacy skills to interpret and produce technical documentation

technical skills to:

archive data

undertake low-level programming

use conversion tools.

Required knowledge

detailed knowledge of:

current industry-accepted hardware and software products, including their general features and capabilities

new and existing systems’ current functionality

overview knowledge of:

change-management systems when performing data transition and checking data integrity

database structures

quality assurance practices when checking data integrity

software tools

system data requirements

client business domain when checking data transition

client's data management and data security policy and procedures.

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:

commercial off-the-shelf (COTS) database packages

object-relational databases

proprietary databases

relational databases.

Conversion tools may include:

data mart management tools

tools for cleansing data, e.g. integrity, enterprise and integrator

tools for extraction and transformation, e.g. ETI Extract, Passport, Warehouse Manager, InfoPump, InfoHub, InfoRefiner and InfoSuite

tools that analyse data quality, e.g. QDB/Analyze, WizRule, and Unitech Systems Inc.