What is Contextual Data

There is no future without big data as users, applications are continuously increasing and processed information expected to use in Healthcare, e-Commerce, Aviation, Education, etc. One can say it is just the beginning of big-data-era (BDE) computing. Everyone expects that ‘ready to use' data must be available instantly and hence new techniques and algorithms must be developed to store handle and find the required ‘relevant' data. However, to predict and find the relevant data many researchers suggested taking care about handling the ‘context'. Many people process big datasets with missing contexts, and considering the datasets or attributes as per their convenience. In future it is also expected to focus on data quality because many applications will use this ready to process data as an input. Decision making is possible with recent machine learning applications and selection of data. It involves carefully selecting the data and removing incomplete, invalid, inaccurate data. Therefore, it is suggested to get ready for the future of big data with innovative ways, techniques, and algorithms.