This white paper is hosted by SAPinsider and sponsored by Dolphin.
According to industry analysts, we have entered the age of “big data.” Generally, big data relates to the fact that today’s business intelligence (BI) systems – such as SAP Business Warehouse (SAP BW)– are experiencing record levels of data growth from terabytes to petabytes and beyond. The challenge is in maximizing the opportunity for real-time business intelligence while minimizing the impact of exploding data volume on productivity and total cost of ownership (TCO).
The promise of big data applications, even combined with the seemingly endless performance capabilities of SAP HANA, does not negate the reality that turning massive amounts of data into insightful, real-time intelligence requires a sound data management infrastructure. As more data accumulates in BI and ERP systems, one major issue emerges: input/output performance degradation that slows data access. SAP HANA eliminates these bottlenecks by keeping data in memory, but the extra cost to add sufficient capacity can be higher than expected.
From a data management perspective, making the most of the big data opportunity requires the adoption of two key strategies:
Augmenting data archiving capabilities with nearline storage
- Re-architecting the business warehouse (BW) data model for lean, flexible, organized “views” of information that serve up agile reporting without increasing administrative overhead.
Read this white paper today to learn how to achieve significant savings, performance improvements and lay the foundation for leveraging SAP HANA – the vehicle for truly maximizing the potential benefits of big data – now and in the future.