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Elements and Performance Criteria

1. Plan big data management procedures
   • Confirm purpose and target users of big data management procedures
   • Review current internal practices for managing big data
   • Identify and document workplace issues and needs to be supported by big data management procedures
2. Design procedures for managing big data
   • Compare current organisational processes to industry standards for best practice in big data management to identify areas of improvement
   • Analyse available big data management solutions
   • Establish criteria for an effective big data management solution
   • Select appropriate big data management solution based on characteristics of big data and workplace needs
3. Draft procedures for managing big data
   • Draft procedures to address identified organisational needs to manage big data
   • Engage required stakeholders to test draft big data procedures
   • Integrate feedback from stakeholders into revised procedures
4. Finalise developed procedures for managing big data
   • Review big data management procedures against business strategies and success metrics and revise as required
   • Create a big data road map for implementing big data management process
   • Distribute final procedures to required personnel according to organisational policies and procedures
   • Store procedures according to established document management protocols

Performance Evidence

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:

develop procedures for managing two different sets of big data: one transactional and one non-transactional.

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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 relating to managing big data, including data protection and privacy laws and regulations

key characteristics of big data

organisational policies, procedures, and protocols relating to developing procedures for managing transactional and non-transactional big data, including for:

identifying and documenting workplace issues to be supported by big data management procedures

reviewing internal programs for managing big data

storing and retrieving big data

industry practices relating to ethical management and governance of big data, including when making data available for big data analytics and business intelligence

data management approaches to big data based on volume, variety and complexity of data

protocols for database management, including open-source database management systems designed to handle big data.

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