Big Data analytics lifecycle
Steps of data analysis process The Big Data analytics lifecycle starts with a business case that explains the cause and aim of the study. bigdata analytics phases • Stage 1 - Data identification Identifies data sources. • Stage 2 - Data filtering - Corrupt data from the previous stage is removed. • Stage 3 - Data extraction - Unusable data is extracted and converted. • Stage 4 - Data aggregation - Similar fields from distinct datasets are combined. • Stage 5 - Data analysis - Data is analyzed to find important information. • Stage 6 - Visualization of data - Big Data analysts can create graphic representations using Tableau, Power BI, and QlikView. • Stage 7 - Final analysis result - The final findings of the study are provided to business stakeholders who will act. Maryam Saeed Dogar For more article, kindly read blogs by visiting at https:// ihf12.blogspot.com For more videos, kin...