WHITE PAPER:
This white paper challenges the x86 processor trend, demonstrating that modern mainframe technology represents a scale-up option to the current racks filled with blades. It looks at the way organizations can benefit in terms of improved agility, increased reliability and cost savings by consolidating Oracle databases onto IBM’s zEnterprise.
WHITE PAPER:
This white paper provides an overview of Oracle's capabilities for data warehousing, and discusses the key features and technologies by which Oracle-based business intelligence and data warehouse systems easily integrate information, perform fast queries, scale to very large data volumes and analyze any data.
WHITE PAPER:
If you're looking to invest in a business analytics platform, access this comprehensive white paper from Bloor Research comparing the performance of four top analytics tools (combined with underlying database management systems).
WHITE PAPER:
Access the following white paper to uncover an analytics solution that is helping banks compete with their larger counterparts. Discover how you can gain the critical analytical insights from your data—fast—when you need it and where you need it, all while saving capital to push towards innovation
WHITE PAPER:
This paper discusses virtual data services for operational business processing and data management as well as successful virtualization use cases.
WHITE PAPER:
Banks are bringing together big data projects, transactional processing, data warehousing and analytic tooling. Find out how IBM DB2 for z/OS and DB2 Analytics Accelerator in an IBM zEnterprise environment can help.
WHITE PAPER:
Through complete end-to-end insight into the factors that impact company performance, you can significantly reduce costs, enhance profitability, increase customer satisfaction and gain competitive advantage.
WHITE PAPER:
This white paper discusses an approach other than enterprise data warehouses (EDWs) to meet organizations reporting and operational needs.
WHITE PAPER:
This executive brief explains how the combination of master data management (MDM) and data quality (DQ) can significantly enhance the accuracy and reliability of data, enabling timely, confident decisions and accurate reporting.
