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1 Introduction to the World of Big Data CHAPTER OBJECTIVE

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This chapter deals with the introduction to big data, defining what actually big data means. The limitations of the traditional database, which led to the evolution of Big Data, are explained, and insight into big data key concepts is delivered. A comparative study is made between big data and traditional database giving a clear picture of the drawbacks of the traditional database and advantages of big data. The three Vs of big data (volume, velocity, and variety) that distinguish it from the traditional database are explained. With the evolution of big data, we are no longer limited to the structured data. The different types of human‐ and machine-generated data—that is, structured, semi-structured, and unstructured—that can be handled by big data are explained. The various sources contributing to this massive volume of data are given a clear picture. The chapter expands to show the various stages of big data life cycle starting from data generation, acquisition, preprocessing, integration, cleaning, transformation, analysis, and visualization to make business decisions. This chapter sheds light on various challenges of big data due to its heterogeneity, volume, velocity, and more.

Big Data

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