SAP HANA Data Volume Management
Subhadip Kumar
TL;DR
This paper discusses best practices for reducing data volume in SAP HANA databases to improve performance and cost-efficiency across various SAP applications.
Contribution
It provides practical guidelines tailored for different SAP HANA use cases to optimize data management and reduce storage footprint.
Findings
Effective data reduction strategies improve database performance.
Optimized data management reduces operational costs.
Best practices are applicable across multiple SAP HANA environments.
Abstract
Today information technology is a data-driven environment. The role of data is to empower business leaders to make decisions based on facts, trends, and statistical numbers. SAP is no exception. In modern days many companies use business suites like SAP on HANA S/4 or ERP or SAP Business Warehouse and other non-SAP applications and run those on HANA databases for faster processing. While HANA is an extremely powerful in-memory database, growing business data has an impact on the overall performance and budget of the organization. This paper presents best practices to reduce the overall data footprint of HANA databases for three use cases like SAP Business Suite on HANA, SAP Business Warehouse, and Native HANA database.
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Taxonomy
TopicsBig Data and Business Intelligence · Cloud Computing and Resource Management