White Papers & Reports

IBM DB2 with BLU Acceleration on IBM Power Systems: How it compares

This white paper evaluates performance capabilities of leading-edge business intelligence (BI) platforms.

The research makes a comparison study of IBM Cognos BI and IBM DB2 with BLU Acceleration on IBM Power Systems, SAP BusinessObjects and HANA, Oracle Business Intelligence and Exadata, and Microsoft Business Intelligence and SQL Server. Howard concludes that DB2 with BLU Acceleration on Power Systems offers enhanced and consistent performance while requiring less hardware and at reduced cost.

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.

The mainframe as a big data analytics platform

For many enterprises System z is central to modern analytics because of the vast quantities or rich data stored upon it, not to mention excellent qualities of service.

Carl Olofson, an IDC analyst, looks at the role of the mainframe in relation to big data, how it has become a hub for modern day analytics, its ability to integrate information from other sources to enhance business decisions and how it is positioned for the future.

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.

Enhancing IBM BigInsights with IBM Platform Computing and GPFS

Understanding how IBM Infosphere BigInsights, IBM Platform Symphony and IBM GPFS FPO provide a more flexible lower cost solution for multi-tenant Hadoop deployments on System X and Power Linux platforms.

Telematics for insurance

telematics for insurance.JPGFor insurance companies, the integration of big data and analytics solutions with telematics technologies offers important opportunities to extend the use of telematics data beyond usage-based insurance (UBI) and improve competitive differentiation.

Insights for the new chief data officer

How to define data strategy, align business goals and prioritize winning projects

How should a chief data officer (CDO) start formulating and deploying a strategy to put data at the center of the business? 

This ebook provides insights and recommendations for the CDO in three areas: strategic alignment with the business, data strategy and project prioritization.

Transform your business with data and analytics

Transforming your business with big data and analytics is an ongoing journey, not a one-time event. This white paper outlines a five-step progression that helps you identify big data and analytics opportunities, establish models, prove value, scale and transform to a data-driven culture.

Cincinnati Zoo transforms customer experience and boosts profits

The Cincinnati Zoo and Botanical Gardens transformed the customer experience and created more than USD 2.2 million in total benefits in just three months.  

VAASAN Group

Experiencing exponential growth in business, the VAASAN Group couldn’t accurately forecast fluctuating sales orders across the Nordic region. 

The VAASAN Group now uses a powerful business intelligence solution that identifies trends in customer demand and generates a rolling sales forecast, helping the company predict its production requirements and prepare for fluctuating customer orders.

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