Hadoop in Banking: Event-Driven Performance Evaluation.

In today's data-intensive atmosphere, performance evaluation in the banking industry depends on timely and accurate insights, leading to better decision making and operational efficiency. Traditional methods for assessing bank performance often need to be improved to handle the volume, velocity, and variety of data generated in real time. This study proposes an event-driven approach for performance evaluation in banking alongside a Hadoop-based architecture.

Prediction of new active cases of coronavirus disease (COVID-19) pandemic using multiple linear regression model.

Introduction And Aims: The COVID-19 pandemic originated from the city of Wuhan of China has highly affected the health, socio-economic and financial matters of the different countries of the world. India is one of the countries which is affected by the disease and thousands of people on daily basis are getting infected. In this paper, an analysis of daily statistics of people affected by the disease are taken into account to predict the next days trend in the active cases in Odisha as well as India.