How does Big Data Analytic Life Cycle works ? Step by step working of Big Data Analytics

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#Data_extraction
#Data_vlidation

Big Data analysis differs from traditional data analysis primarily due to the volume, velocity and variety characteristics of the data being processes. To address the distinct requirements for performing analysis on Big Data, a step-by-step methodology is needed to organize the activities and tasks involved with acquiring, processing, analysing and repurposing data.
The Big Data analytics lifecycle can be divided into the following nine stages
1. Business Case Evaluation
2. Data Identification
3. Data Acquisition & Filtering
4. Data Extraction
5. Data Validation & Cleansing
6. Data Aggregation & Representation
7. Data Analysis
8. Data Visualization
9. Utilization of Analysis Results