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Follow the links below to find material targeted to the unit's elements, performance criteria, required skills and knowledge
Elements and Performance Criteria
Performance Evidence
Knowledge Evidence
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 and standards relating to protecting the integrity of big data, including data protection and privacy laws and regulationsorganisational policies, procedures and protocols relating to protecting the integrity of transactional and non-transactional big data, including for:ensuring accuracy, availability and scalability of big dataverifying security of big data platformmonitoring data discrepancies between different sourcesmonitoring big data integrityidentifying where big data breaches have occurred ethical management and governance of big data, including consideration of ensuring a balance between availability and confidentiality of big datakey components of workplace governance arrangements relating to protection, performance, scalability and availability of big data, including:procedures for creating and maintaining inventory of big data assetspolicies to prevent big data being used inappropriatelyprotocols for dynamic and scalable access control of big data compliance requirements and regulations relating to big data loss key components of policies in place for protecting the confidential and private business information and intellectual property in big data assets:privacy policiessecurity policiesintellectual property policiesinfrastructure security, integrity and reactive security as they relate to protecting the integrity of big data.