Architecting Robust Data Transformation in Healthcare ETL Pipelines

Abstract

The practice-based approach is used to construct a big data analytics-enabled transformational model that 
shows the causal links between business values, benefit dimensions, IT-enabled transformation practices, and 
big data analytics capabilities. Optimizing methods to enhance the ETL process might be very beneficial for 
real-time data analysis. A number of circumstances might lead to ETL optimization. The easiest is to increase 
the process's frequency. More than ever, healthcare businesses depend on data, thus gathering and processing 
data is essential for any business. Daily technological advancements have resulted in an increasing amount of 
data, making it challenging for a business to handle using the tools and methods available today. Big data has 
emerged as a result of these realities in almost every company that handles data and customers. Therefore, in 
order for any company, including healthcare organizations, to satisfy its current and future objectives, new 
methods that focus on organizing and extracting valuable information from the data gathered are required.