Authors Thomas Erl, Wajid Khattak, and Paul Buhler proposed a big data analytics life cycle in their book, Big Data Fundamentals: Concepts, Drivers & Techniques. Their life cycle suggests phases divided into nine steps:
Business case evaluation
Data identification
Data acquisition and filtering
Data extraction
Data validation and cleaning
Data aggregation and representation
Data analysis
Data visualization
Utilization of analysis results
This life cycle appears to have three or four more steps than the previous life cycle models. But in reality, they have just broken down what we have been referring to as Prepare and Process into smaller steps. It emphasizes the individual tasks required for gathering, preparing, and cleaning data before the analysis phase.
For more information, refer to Big Data Adoption and Planning Considerations. https://www.informit.com/articles/article.aspx?p=2473128&seqNum=11&ranMID=24808