R software has plenty of packages and is unique in handling big data. Therefore it can handle both the structured and unstructured data. This makes it suitable for big data analysis also.
Need of Big data in the Indian banking sector, R-moduleBig data applications are vital for storing and processing large amounts of data. Depending on the type of organisation, big data sets can be used to better understand customer needs and preferences.
Need of Big data in the Indian banking sectorPredictive modeling is a data driven, induction based modeling that is continuously used by big sized companies to gain useful insights into trends and risks budding in the future. The modelling on the basis of data extraction, cleansing and analysis helps in predicting the value of a target variable (Fortuny, Martens, & Provost, 2013).
R-moduleThe handler conducts a background study before confirming an order.
confirmed order, customer, employee, order detailsWith increasing use of big data applications in various industries, Hadoop has gained popularity over the last decade in data analysis. It is an open-source framework which provides distributed file system for big data sets.
Need of Big data in the Indian banking sectorBig data has been a buzzword in the computing era for over a decade now. It is a term used for large and complex data sets which is difficult to be processed and analysed by traditional data processing software.
Need of Big data in the Indian banking sectorThe real estate market has been undergoing changes due to recent policies of the government and other initiatives. The move of demonetisation which involved currency ban was initiated by the current Government.
Investment in real estate sectorThe article should have appropriate title relate to the content of the article
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