Enhancing Data Security and Privacy in Data Warehouse using Artificial Intelligence
- Version
- Download 2
- File Size 247.46 KB
- Download
Enhancing Data Security and Privacy in Data Warehouse using Artificial Intelligence
Hari Prasad Bomma
Data Engineer, USA
haribomma2007@gmail.com
Abstract: Organizations are mostly dependent on data warehouses to store and analyze information. As the complexity of data warehouses increase, new challenges are faced in data security and privacy as legacy security approaches are lacking the capabilities to address the unique requirements. This paper provides an overview of the current research on leveraging artificial intelligence (AI) to enhance data security and privacy within data warehouses. This paper will discuss the challenges, review current AI techniques used for securing data warehouses, and propose potential solutions for balancing AI driven insights with the protection of individual privacy.
Keywords: Data security, Data governance, ETL , Data warehouse and AI