EZINE:
In this week's Computer Weekly, we talk to Mastercard about how the credit card giant is using new technologies to take digital payments into a new era. After months of unprecedented uncertainty, we ask CIOs how they are planning for the next 12 months. And we examine how the growth in remote working will affect IT salaries. Read the issue now.
WEBCAST:
Join Elizabeth Woodward, IBM Agile Practice Expert, as she discusses how software development leaders and agile teams can identify the impact of choices in organizing their team structure to optimize a distributed Agile methodology.
SOFTWARE DOWNLOAD:
You can if you download a free trial of IBM Platform Symphony Developer Edition, software that enables rapid development and test of distributed applications by emulating a production grid -- eliminating the need for a physical grid.
EGUIDE:
In this expert e-guide, discover recent updates to MongoDB that enable organizations to switch storage engines depending on user needs. Additionally, learn about forthcoming updates to MongoDB that will streamline database design and provide better visibility into NoSQL data structures.
WHITE PAPER:
This white paper describes challenges organizations face when using MapReduce, and the means by which Platform MapReduce can address them.
WHITE PAPER:
Access this exclusive resources to discover new technology and solutions to address security and operating expense (OPEX) issues related to distributed computing such as thin client, fast client, diskless workstations, SaaS, and VDI.
WHITE PAPER:
This white paper reviews modern enterprise service grids and how their brokered peer-to-peer architecture offer ease of use for a wide array of distributed computing projects including the SOA market.
EGUIDE:
In this expert guide, IT analyst Tony Iams, SVP, Ideas International, delves deeper into the scale up vs. scale out debate. Learn about the growing popularity of scaling out options, such as massively parallel processing (MPP) and distributed computing approaches.
WHITE PAPER:
Read this paper to learn how to enable a fast, scalable, fault-tolerant distributed foundation for data management that runs dynamically across the many-machine, many-core, memory-based computing topologies that today's organizations are assembling from existing IT resources and pay-as-you-go clouds.
