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Data Analytics & Big Data Analytics in Education


Abdul Waris Souran , Himalayan Garhwal University


Research, Analytics, Data, Visualization, Action, real-time processing, big data platforms, big data analytics, K-means clustering


Data analytics has a very important job in education. This enhances learning efficiency and experience and system has a wider effect in the institutes. Data analytics is very useful for research and management student and all streams of education. To work with quality and technically is to be done by data analytics. Data analytics to be dividing for practically analyze. Data analytics also called by data analysis. This paper offers various metrics such as different analytics and scalability, and undefined. The rate of fault tolerance real-time processing offers different hardware platforms based on size and repetitive tasks. Undefined and assesses errors. Support some of the important features described here can potentially help in making informed decisions about the right choice of readers, based on their computational needs. Stochastic comparisons are also discussed between different platforms using the star rating table, which are discussed for each of the six features that are important for large analytics algorithms. A detail of the Star’s specific implementation of Clustering Algorithm, widely used on various platforms, to provide greater insight into the effectiveness of each platform in the context of large analytics, is described in the proxy code. This paper gives a clear idea about the different data science technologies used in Education.

Other Details

Paper ID: IJSRDV8I10193
Published in: Volume : 8, Issue : 1
Publication Date: 01/04/2020
Page(s): 12-15

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