Digital Tables Partitioning in SAP HANA 4: A Novel Method for Handling Huge Data Sets

Rajesh Azmeera

Abstract: The growing demand for handling huge data sets has presented enterprises with significant challenges associated with storage capacity, cost management, and operational efficiency. Data processing of higher volumes of data at higher speeds by the CPU was something that couldn't be attained using conventional methods for storing data in tables. This study explores the trajectory of data growth, its impact, and how digital tables partitioning in SAP HANA System could help overcome the aforementioned challenges.

Keywords: big data analytics, digital tables partitioning, SAP HANA big data solutions, big data with SAP