A Detailed Guide for Data Handling Techniques in Data Science

Data Engineers and Data Scientists need data for their Day-to-Day job. Of course, It could be for Data Analytics, Data Prediction, Data Mining, Building Machine Learning Models Etc., All these are taken care of by the respective team members and they need to work towards identifying relevant data sources, and associated with the business problems. Data Sources can be identified in two different ways. With respect to functional aspects, it can be sub-divided into Primary and Secondary sources. Both above said is nothing but in the form of non-digital form.