Unit of competency Outline
Date retreived
22/07/2026 10:46 AM AWST
22/07/2026 10:46 AM AWST
Whilst all efforts are made to provide accurate and timely information from the relevant source/documentation, please be aware that the information supplied may not be the most current version. The accuracy of the detail has not been confirmed by the Department and therefore should not be relied upon without first confirming the contents.
Capture and store big data
Capture and store big data
Unit of competency
National Code
BSBXBD401
BSBXBD401
State Code
OBO68
OBO68
TGA Status
Current
Current
DTWD Status
Approved
Approved
State Implementation and Classification
Approved Date
14/05/2020
Field of Education
020305 - Systems Analysis And Design
Original Release Date
14/05/2020
Nominal Hours
70
Description
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.
Notes
Elements and Performance Criteria
1. Determine scope of big data capture
- 1.1 Identify business need for big data capture
- 1.2 Determine timelines for capturing big data
- 1.3 Identify volume and variety of big data to be captured
- 1.4 Identify data storage and archive requirements
2. Capture big data
- 2.1 Develop a plan for big data capture according to organisational policies and procedures
- 2.2 Identify sources of big data relevant to business need
- 2.3 Obtain big data from identified sources according to legislative requirements and organisational policies and procedures
- 2.4 Apply big data cleansing methodologies
- 2.5 Re-create and recover big data lost during capture process according to organisational policies and procedures
- 2.6 Conduct data offload and archiving on big data and create report
3. Store captured big data
- 3.1 Organise obtained big data sets in a retrievable format
- 3.2 Confirm that big data is accurate, up-to-date, and comprehensive
- 3.3 Securely store big data and data capture report according to organisational procedures, legislative requirements, and industry practices