Study on big data analytics research domains

Abstract

Data Analytics is the trending domain that analyses data to observe patterns and predict future outcomes. The outcomes are based upon analysis of past and current trends and behaviors. Data analytics deals with both descriptive and predictive analyses of data. Descriptive Data Analytics summarizes the data, it's behavior and draws useful conclusion from it. Predictive Data Analytics is the branch of data analytics that predicts future outcomes based on the current and historical data. These future predictions are drawn by observing patterns followed for past data and outcomes for the past events for similar scenarios. In this paper, various branches of data analytics have been discussed. Big data analytics architecture gives an overview of the various tools and system structure involved in big data analytics. Big data analytics is closely related to data mining and hence, implements data mining algorithms. Latter part of the paper covers machine learning algorithms and neural networks for training the dataset to recognize patterns for the modeled data and predict outcomes based on the training and pattern recognition. Modeling of data using neural networks helps in generating accurate and exhaustive outcomes.