Databases are used in many applications, spanning virtually the entire range of computer software. Databases are the preferred method of storage for large multiuser applications, where coordination between many users is needed.
An IBM white paper describing the infrastructure implications of today’s converging technology forces and the software defined, next-generation data center transformation vital to capitalizing on them.
This white paper discusses the different support challenges that can confront you when implementing a smarter infrastructure that includes new solutions like cloud initiatives, virtualized environments and other new breeds of computer models. To keep these solutions running daily, you should consider the level of support that will be required.
Microsoft withdraws support for Windows Server 2003 on July 14, 2015. Here’s how you need to respond to protect your organization’s information assets. Just after enterprises have finished migrating their desktops from Microsoft Windows XP, they now have to turn around and move away from Windows Server 2003. The venerable (and now vulnerable) operating system reaches end of support on July 14, 2015. But many companies will continue to use the software after that deadline, and that has serious security implications.
The volume and sophistication of malware is skyrocketing, and traditional anti-virus approaches are struggling to keep up. It’s time to rethink how we protect our endpoints. Instead of trying to build a better anti-virus “mousetrap,” without any shift in the underlying management model for vetting change in endpoint environments, security professionals should investigate more innovative approaches to endpoint security that can automate trusted change policies. This paper discusses an innovative approach to application whitelisting – one that integrates application control, anti-virus, patch management and a trusted change management engine into one unified solution – to improve endpoint security and provide the necessary flexibility to optimize IT operations and user productivity.
Today’s customers are well-informed and empowered by information. They use other people and online experts as information sources. They interact with companies by multiple methods and expect a relevant dialogue with each brand. This paper introduces the IBM Predictive Customer Intelligence solution, which is designed to help your company create personalized, relevant experiences for individual customers with a focus on driving new revenue. Along with explaining the architecture of the solution, this paper covers how the solution works.
IBM InfoSphere BigInsights for Hadoop enables organizations to efficiently manage and mine large volumes of diverse data for valuable insights. IBM builds on a 100% Apache Hadoop foundation with common tools such as spreadsheets, R analytics and SQL access for greater usability.
In this white paper learn how e-signatures are making workflows easier and more productive than ever before.
Learn how e-signatures remove the last barrier between a hybrid paper-to-digital workflow to an all-electronic process, dramatically accelerating closure in any type of transaction that requires a contract—sales, employment and hiring, purchase orders, legal agreements, and more.
Download this white paper to learn more.
This TDWI Best Practices report explains the benefits that Hadoop and Hadoop-based products can bring to organizations today, both for big data analytics and as complements to existing BI and data warehousing technologies.
Packed with everything you need to know about Hadoop analytics, this handy guide provides you with a solid understanding of the critical big data concepts and trends, and suggests ways for you to revolutionize your business operations through the implementation of cost-effective, high performance Hadoop technology.
Organizations of all sizes need help building clusters and grids to support compute- and data-intensive application workloads. Read how the Hartree Centre is building several high-performance computing clusters to support a variety of research projects.
If you’re responsible for delivery of a .NET application and your users have analytics requirements, you have some decisions to make. Watch Gigaom Research and our sponsor Izenda for “User Driven BI in the Cloud and Within Your Application,” a free recorded analyst webinar.
Your business is complex. Big data promises to manage this complexity to make better decisions. But the technology services that run your business are also complex. Many are too complex to manage easily, fueling more complexity, delays, and downtime. Forrester predicts this will inevitably get worse. To combat this onslaught, you can no longer just accelerate current practices or rely on human intelligence. You need machines to analyze conditions to invoke the appropriate actions. These actions themselves can be automated. To perform adaptive, full-service automation, you need IT analytics, a disruption to your
existing monitoring and management strategy.
Many companies still rely on a legacy, platform-specific data backup solution, even though it doesn't provide consistent backup across the enterprise. This outdated approach becomes especially risky when IT faces a data migration initiative. Organizations risk immense data loss and an expensive, intensive disaster recovery undertaking if they launch a data migration effort without first properly securing their data.