Final Thoughts: From Big Data to Smart Data
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Throughout this book we have presented a complete vision about Big Data preprocessing and how it enables Smart Data. Data is only as valuable as the knowledge and insights we can extract from it. Referring to the well-known “garbage in, garbage out” principle, accumulating vast amounts of raw data will not guarantee quality results, but poor knowledge. In this last chapter we aim to provide a couple of final thoughts on the importance of data preprocessing, how different it is to carry out data preprocessing compared to classical datasets, and some perspectives for the commonalities between Deep Learning and Big Data preprocessing.
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