Database Management

Gaining dynamic in-memory performance, inexpensively

Database managers are looking for a solution that capitalizes on the performance advantages of in-memory data storage, placing the highest value data in main server memory where it can be quickly accessed and processed. At the same time, you do not want your database solution to be limited to main server memory, because that would mean continuously adding costly memory systems to meet growing demand in the era of big data. Instead, you want a solution that can intelligently pull data from other available sources as required for a query and make optimum use of all your existing hardware resources. 

Ultimately, you can reap the benefits of an intelligent hardware and software strategy. 

This ebook explores key elements to consider when evaluating in-memory database options, including cost-efficient performance, simple deployment, hardware foundation strength, security and agility, as well as benefits of using IBM DB2 with BLU Acceleration and IBM Power Systems together.

Optimizing data management through efficient storage infrastructures

While the issue of provisioning ever-increasing volumes of storage is nothing new, the arrival of big data is forcing IT organizations and businesses to think differently—and to think about data as a big picture, rather than simply bits and bytes.

In this paper, Mark Peters of ESG discusses how the best approach to efficient data management is implementing an advanced, data-driven infrastructure that includes such capabilities as automated tiering, automated migration and heterogeneous virtualization on the high end, and somewhat less sophisticated products featuring compression and deduplication features on the low end. This kind of unified systems approach is key to success in the new data-driven world. IBM has continued to make improvements throughout both its storage and its data management portfolio to support efficient infrastructures.

AARP transforms its business intelligence infrastructure

AARP needed to transform its traditional BI infrastructure into a dynamic, blazing-fast environment which could assist with improved member documentation and recognition, accurately match services and product offerings to member needs and deliver value-added packages to targeted customer demographics.

With IBM Big Data & Analytics, AARP modernized its business intelligence infrastructure ultimately achieving a 347% ROI in three years. 

Technology Innovations for Enhanced Database Management and Advanced BI

This is a research report by noted industry analysts Claudia Imhoff, Intelligent Solutions, Inc., and Colin White, BI Research. IT leaders need to review and enhance their information architecture to support requirements fueled by big data, advanced BI and other innovations. Examine the What, the Why, and the How behind these innovations to exploit the potential for improved business efficiency with IBM DB2.