With SAP HANA on IBM Power Systems now generally available, some SAP customers have questions about how leveraging a system built for big data can directly benefit their organization. In this webinar, you will hear about the IBM and SAP ramp-up program for SAP HANA running on IBM Power Systems and the business and technical benefits that actual customers found. These ramp-up customers now have the capacity to manage growth and the flexibility to integrate new functions, and they've minimized usual risks associated with adopting new business technologies.
Big Data
Many caching solutions are complex, expensive, and lack the key features and capabilities you really need. Learn how to scale your applications while improving performance and cutting costs.
High-Performance with Distributed Caching: Key Requirements for Choosing the Right ...
The time is ripe for big data and analytics initiatives to pull leaders ahead of the pack. New and varied sources of data, including weblogs, sensors and social media streams, are weaving their way into the analytics mix, making it easier than ever to create connections that convert into actionable insights
Betting on Big Data
You need a database designed to control both the infrastructure and personnel costs that form the IT budget. The next generation of IBM DB2 helps organizations get more value from their big data to improve their IT economics.
Executive Brochure: Is your Database Ready for the Era of ...
This white paper discusses the concept of shared data scale-out clusters, as well as how they deliver continuous availability and why they are important for delivering scalable transaction processing support. It also contrasts this approach, taken in relational database contex, with clustering approaches employed by NoSQL databases and Hadoop applications, showing the importance.
IDC White Paper: Affordable, Scalable, Reliable OLTP in a Cloud ...
Is your data architecture up to the challenge of the big data era? Can it manage workload demands, handle hybrid cloud environments and keep up with performance requirements?
eBook: Six Reasons to Upgrade Your Database
In order to derive business value from Big Data, practitioners must have the means to quickly (as in sub-milliseconds) analyze data, derive actionable insights from that analysis, and execute the recommended actions. While Hadoop is ideal for storing and processing large volumes of data affordably, it is less suited to this type of real-time operational analytics, or Inline Analytics.
White Paper: In-Memory Databases Put the Action in Actionable Insights
Wikibon conducted in-depth interviews with organizations that had achieved Big Data success and high rates of returns. These interviews determined an important generality: that Big Data winners focused on operationalizing and automating their Big Data projects.
White Paper: Follow the Money: Big Data ROI and Inline ...
In boardrooms around the world, C-suite executives are clamoring to join the big data party. And for good reason: the value that can be derived from analyzing big data is well known.
MEETING THE BIG DATA CHALLENGE: GET CLOSE, GET CONNECTED
Companies too often start big data efforts from scratch, abandoning the analytics solutions they have in place. Instead, companies should simplify their efforts and leverage existing infrastructure.
