Big Data Analysis and Information Quality: Challenges, Solutions, and Open Problems

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Big Data is here, thanks to the proliferation of social media and IoT devices. As a result of the immense benefit that Big Data has brought to the public as well as businesses, the question of how to handle and utilise it more effectively has captivated people from every walk of life. Big Data processing has been plagued by difficulties due to the 4V features of Big Data. Solving the data quality issue is crucial to Big Data processing, as is ensuring data quality, which is a precondition for Big Data to play its worth. Two examples of where Big Data has been put to good use are in recommendation and prediction systems. In this research, we investigate Big Data recommendation and prediction systems and endeavour to ascertain the quality of data at each stage of the process: collection, preprocessing, storage, and analysis. The proposed remedy follows from a thorough description and examination of the issue at hand. We have left a few questions unanswered at the conclusion of the report.