The data analytic lifecycle is intended for use with data science initiatives and Big Data issues. The cycle reflects a real project by being iterative.
A step-by-step methodology is required to arrange the actions and tasks involved with gathering, processing, analyzing, and repurposing data in order to fulfil the particular requirements for doing analysis on Big Data.
A document or plan that details how a project's data will be managed is known as a data management plan. The strategy outlines the data that will be obtained, how it will be managed, documented, and stored, as well as the standards that will be applied.
A data management plan's objective is to take into account all components of the data management life cycle to ensure that the data are well-managed both now and in the future.
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