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.
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.