Abstract
The technology in 21st century is evolving at a very high speed and accordingly the data produced are in huge volume and this is where Big data comes into picture. Handling such huge data from different real time sources is a challenge for organizations and in order to resolve this, Apache created a platform named Hadoop whose job is to handle Big data. After that Google created a software framework named Map Reduce which is the main component of Hadoop. Many organizations started experimenting on Big data and created their own small applications to handle their internal business jobs such as creating their own distributed database to work with Big data. This chapter mostly brings into picture the meaning of Big data and its importance and the different frameworks and platforms involved in it, as well as the distributed databases which are used for Big data by different organizations and even the detailed view of the Map Reduce concept which handles Big data in a very efficient manner.
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Pattnaik, K., Prasad Mishra, B.S. (2016). Introduction to Big Data Analysis. In: Mishra, B., Dehuri, S., Kim, E., Wang, GN. (eds) Techniques and Environments for Big Data Analysis. Studies in Big Data, vol 17. Springer, Cham. https://doi.org/10.1007/978-3-319-27520-8_1
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