Unit of Competency Mapping – Information for Teachers/Assessors – Information for Learners

BSBXBD401 Mapping and Delivery Guide
Capture and store big data

Version 1.0
Issue Date: May 2024


Qualification -
Unit of Competency BSBXBD401 - Capture and store big data
Description
Employability Skills
Learning Outcomes and Application This unit describes the skills and knowledge required to capture and store transactional and non-transactional big data obtained from a variety of sources. It involves using methodologies and techniques to obtain big data sets. It also involves analysing and storing the captured big data according to industry practices and organisational policies, procedures and protocols.It applies to those in a broad range of industries and job roles who, under some supervision and guidance, are responsible for obtaining, preparing and storing big data.No licensing, legislative or certification requirements apply to this unit at the time of publication.
Duration and Setting X weeks, nominally xx hours, delivered in a classroom/online/blended learning setting.

Skills must be assessed in a workplace or simulated environment where conditions are typical of a work environment that uses big data.

Access is required to:

information and data sources to inform big data capture

information and telecommunications equipment required to capture and store big data

industry standards, organisational procedures, and legislative requirements required to demonstrate the performance evidence.

Assessors of this unit must satisfy the requirements for assessors in applicable vocational education and training legislation, frameworks and/or standards.
Prerequisites/co-requisites
Competency Field
Development and validation strategy and guide for assessors and learners Student Learning Resources Handouts
Activities 		Slides
PPT 		Assessment 1 Assessment 2 Assessment 3 Assessment 4
Elements of Competency Performance Criteria              
Element: Determine scope of big data capture
  • Identify business need for big data capture
  • Determine timelines for capturing big data
  • Identify volume and variety of big data to be captured
  • Identify data storage and archive requirements
  • Develop a plan for big data capture according to organisational policies and procedures
  • Identify sources of big data relevant to business need
  • Obtain big data from identified sources according to legislative requirements and organisational policies and procedures
  • Apply big data cleansing methodologies
  • Re-create and recover big data lost during capture process according to organisational policies and procedures
  • Conduct data offload and archiving on big data and create report
       
Element: Store captured big data
  • Organise obtained big data sets in a retrievable format
  • Confirm that big data is accurate, up-to-date, and comprehensive
  • Securely store big data and data capture report according to organisational procedures, legislative requirements, and industry practices
       


Evidence Required

List the assessment methods to be used and the context and resources required for assessment. Copy and paste the relevant sections from the evidence guide below and then re-write these in plain English.

The candidate must demonstrate the ability to complete the tasks outlined in the elements, performance criteria and foundation skills of this unit, including evidence of the ability to:

capture, apply data cleansing, and store one set of transactional and one set of non-transactional big data relating to specific workplace needs

create a report relating to data capture for a specific workplace need for at least one set of transactional and one set of non-transactional big data.

The candidate must be able to demonstrate knowledge to complete the tasks outlined in the elements, performance criteria and foundation skills of this unit, including knowledge of:

legislative requirements relating to big data capture and storage, including data protection, security and privacy laws and regulations

organisational policies and procedures relating to big data capture and storage, including for:

capturing, storing and reporting transactional and non-transactional sources of big data

cleansing methodologies when capturing big data

business intent of big data capture

re-creating and recovering big data lost during capture process

privacy concerns of predictive analytics organising security and retrieval of big data

quality assuring captured big data

data capture techniques to produce analytic ready data and datasets

big data features and their impact on data capture and storage, including velocity, volume, variety, value, and veracity

variability and complexity of big data:

structured and unstructured

transactional and non-transactional

framework for distributed storage of big data

platform solutions for capturing and storing big data

key features of organisational products and services related to big data capture

technologies, techniques and protocols for capturing, storing and retrieving big data

secure data access and control mechanisms of captured and stored big data

high availability and scalability challenges with big data.

Submission Requirements

List each assessment task's title, type (eg project, observation/demonstration, essay, assignment, checklist) and due date here

Assessment task 1: [title]      Due date:

(add new lines for each of the assessment tasks)

Assessment Tasks

Copy and paste from the following data to produce each assessment task. Write these in plain English and spell out how, when and where the task is to be carried out, under what conditions, and what resources are needed. Include guidelines about how well the candidate has to perform a task for it to be judged satisfactory.
Copy and paste from the following performance criteria to create an observation checklist for each task. When you have finished writing your assessment tool every one of these must have been addressed, preferably several times in a variety of contexts. To ensure this occurs download the assessment matrix for the unit; enter each assessment task as a column header and place check marks against each performance criteria that task addresses.

Observation Checklist

Tasks to be observed according to workplace/college/TAFE policy and procedures, relevant legislation and Codes of Practice Yes No Comments/feedback
Identify business need for big data capture 
Determine timelines for capturing big data 
Identify volume and variety of big data to be captured 
Identify data storage and archive requirements 
Develop a plan for big data capture according to organisational policies and procedures 
Identify sources of big data relevant to business need 
Obtain big data from identified sources according to legislative requirements and organisational policies and procedures 
Apply big data cleansing methodologies 
Re-create and recover big data lost during capture process according to organisational policies and procedures 
Conduct data offload and archiving on big data and create report 
Organise obtained big data sets in a retrievable format 
Confirm that big data is accurate, up-to-date, and comprehensive 
Securely store big data and data capture report according to organisational procedures, legislative requirements, and industry practices 

Forms

Assessment Cover Sheet

BSBXBD401 - Capture and store big data
Assessment task 1: [title]

Student name:

Student ID:

I declare that the assessment tasks submitted for this unit are my own work.

Student signature:

Result: Competent Not yet competent

Feedback to student

 

 

 

 

 

 

 

 

Assessor name:

Signature:

Date:

Assessment Record Sheet

BSBXBD401 - Capture and store big data

Student name:

Student ID:

Assessment task 1: [title] Result: Competent Not yet competent

(add lines for each task)

Feedback to student:

 

 

 

 

 

 

 

 

Overall assessment result: Competent Not yet competent

Assessor name:

Signature:

Date:

Student signature:

Date: