Ensuring Data Integrity in Big Data Environments

Abstract

The era of Big Data presents organizations with unprecedented opportunities for extracting valuable insights, but it also brings significant challenges, particularly regarding data integrity. This paper explores the critical aspects of ensuring data integrity in Big Data environments. It delves into the complexities of data sources, volume, and velocity, as well as the methods and technologies for maintaining data integrity. Through real-world examples and best practices, this paper provides insights into how organizations can effectively preserve the accuracy, consistency, and reliability of their data in the face of the challenges posed by Big Data.