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 The Intersection of Big Data and Data Science Introduction    Traditional data analysis methods cannot prove useful in achieving big data techniques. As the data is unsupervised, so there is a need for proper tools and modeling techniques to get the meaningful outcome that is required by the company. Data science is a technique that scientifically applies statistical and mathematical approaches and tools for big data processing. Nowadays all the organizations are working on the data facts collected by them that have to increase the concept of big data.  Data science is more critical than big data as it combines multiple fields and uses statistical algorithms that require more intelligent tools to handle large volumes of data. So, you can say that these two are inseparable.  In this article, big data and data science will be discussed from different aspects. So let's get started.  The intersection of Big Data and Data Science There are the following differe...