In the era of big data and real-time analytics, high-performance data storage and access have become critical for enterprise success. SAP Datasphere, as a modern data management solution on the SAP Business Technology Platform (BTP), offers advanced capabilities to efficiently store, manage, and access vast volumes of data across hybrid landscapes.
This article delves into the best practices and architectural insights to achieve high-performance data storage and access within SAP Datasphere, enabling organizations to maximize their analytical agility and business value.
SAP Datasphere blends virtualization and physical storage techniques, giving users flexibility in how they manage data:
This hybrid approach supports different performance and freshness requirements.
Best Practice: Assess query patterns and data freshness needs before deciding. Frequently accessed or compute-intensive data should be replicated for performance.
Calculation views in SAP Datasphere enable flexible, high-performance data processing. Follow these guidelines:
SAP Datasphere is built on SAP HANA technology, which uses in-memory storage and columnar data structures to accelerate data access.
SAP Datasphere supports numerous connection types (OData, JDBC, SAP HANA Smart Data Access) to virtualize data sources.
Implement a data lifecycle strategy to store frequently accessed, recent data in SAP Datasphere physical tables, and archive older data to cheaper storage solutions.
Ensure data security through encryption, access controls, and auditing, but design security policies to avoid unnecessary overhead.
Use SAP Datasphere’s built-in monitoring dashboards to track query performance, system load, and storage utilization. Regularly analyze:
Adapt data models, indexing strategies, and storage choices based on these insights.
High-performance data storage and access in SAP Datasphere are achievable by intelligently balancing virtualization and replication, optimizing data models, and leveraging SAP HANA’s powerful in-memory engine. With the right architecture and ongoing optimization, organizations can unlock real-time insights and deliver superior business outcomes.
SAP Datasphere provides a scalable, flexible platform that meets the demands of modern enterprise data landscapes, empowering businesses to innovate faster with trusted, high-speed data.