Big data analysis life cycle provides a step-by-step methodology for organizing the data activities and tasks related to data acquiring, processing, analyzing and repurposing. The following are the stages of data analysis life cycle with a brief overview of each of them.
- Data discovery: Learn the business domain, frame the business problems as analytics challenges, and strategize and formulate initial hypotheses to start learning data.
- Data preparations: Data Extraction, Load, and Transform (ELT) and data Extraction, Transform, and Load (ETL) should be used to become familiarized with the data.
- Model planning: Determine and formulate techniques, workflows, and best practices to follow. Learn about relationships between ...