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.

TEOCO: Helping communication service providers (CSPs) save hundreds of millions of dollars

TEOCO’s assurance and analytics solutions, powered by IBM PureData System for Analytics, powered by Netezza technology, enable CSPs to access and analyze massive amounts of data to uncover the source of cost and network issues.

The Forrester Wave: Big Data Hadoop Solutions, Q1 2014

According to the report, IBM brings "advanced analytics tools, a global presence and implementation services" that make BigInsights a "complete big data solution that will be attractive to many customers." Read the report to see why IBM InfoSphere BigInsights was named a leader and how it stands in relation to other big data Hadoop vendors.

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.