When considering enterprise storage software options, IT managers constantly strive to find the most efficient, scalable, and high performance solutions that solve today’s storage performance and scalability challenges, while future-proofing their investment to handle new workloads and data types. Enterprise backup solutions can be particularly vulnerable to issues stemming from poor network performance to the storage array(s), and are often not designed with the scalability demanded by rapidly changing enterprise environments.
Big Data Analytics: IBM
September 1, 2016 by Leave a Comment
Businesses are discovering the huge potential of big data analytics across all dimensions of the business, from defining corporate strategy to managing customer relationships, and from improving operations to gaining competitive edge. The open source Apache Hadoop project, a software framework that enables high-performance analytics on unstructured data sets, is the centerpiece of big data solutions. Hadoop is designed to process data-intensive computational tasks, in parallel and at a scale, that previously were possible only in high-performance computing (HPC) environments.
Cloud Adoption in Your Community
September 1, 2016 by Leave a Comment
In conference rooms worldwide, enterprise IT departments are evaluating entry into ‘the cloud’. Armed with media reports and marketing materials, they are considering questions like, “Is the cloud appropriate for critical workloads? Will the cloud really save time and money? Does the cloud pose a security risk?”
There’s only one problem with such due diligence: there’s no such thing as ‘the cloud’. Instead, there are multiple clouds, with different configurations, offered by different providers and representing different degrees of benefit and risk.
Software Defined Infrastructure
September 1, 2016 by Leave a Comment
Software defined infrastructure (SDI) enables organizations to deliver HPC services in the most efficient way possible, optimizing resource utilization to accelerate time to results and reduce costs. Software Defined Infrastructure is the foundation for a fully integrated environment, optimizing compute, storage and networking infrastructure to quickly adapt to changing business requirements, and dynamically managing workloads and data, transforming a static infrastructure into a workload- , resource- and data-aware environment.
Big Data Solution Using IBM Spectrum Scale
August 31, 2016 by Leave a Comment
Businesses are discovering the huge potential of big data analytics across all dimensions of the business, from defining corporate strategy to managing customer relationships, and from improving operations to gaining competitive edge. The open source Apache Hadoop project, a software framework that enables high-performance analytics on unstructured data sets, is the centerpiece of big data solutions. Hadoop is designed to process data-intensive computational tasks, in parallel and at a scale that previously were possible only in high-performance computing (HPC) environments.
IBM Under Cloud Cover Study
August 31, 2016 by Leave a Comment
Simply put, it’s an evolution. Cloud computing is following the same pattern of other technologies that have shaped business and society. Take electricity, for example. Even after the first public power supply lit the streets, it took time for businesses to learn how to really capitalize on this new technology. In those early days, people were enthralled by artificial lighting – one of the earliest applications of electricity. Very few could fathom the innumerable product innovations, business models and industries that would ultimately be built upon this technology.
OpenStack Storage with IBM
August 31, 2016 by Leave a Comment
This paper reviews the increasingly popular OpenStack cloud platform and the abilities that IBM storage solutions provide to enable and enhance OpenStack deployments. But before addressing those specifics, it is useful to remind ourselves of the “whys and wherefores” of cloud computing.
Analytics across the ecosystem
August 31, 2016 by Leave a Comment
Analytics is a key enabler for life sciences and healthcare organizations to create better outcomes for patients, customers and other stakeholders across the entire healthcare ecosystem. While almost two-thirds of organizations across the healthcare ecosystem have analytics strategies in place, our research shows that only a fifth are driving analytics adoption across the enterprise. The key barriers are a lack of data management capabilities and skilled analysts, as well as poor organizational change management. To find out more download this white paper.
Mitigating IT Risk for Financial Risk Analytics
August 31, 2016 by Leave a Comment
Financial Risk Analytics has evolved beyond a secondary regulatory and cost-focused perspective, to become a core part of businesses. Today, Risk Analytics provides a competitive edge by enabling businesses to efficiently use capital and manage risk exposures with higher confidence to make better informed and timelier business decisions. To learn more down this white paper.
IBM: The Optimal Storage Platform for Big Data
August 31, 2016 by Leave a Comment
There is a lot of hype around the potential of big data. Organizations are hoping to achieve new innovations in products and services with big data and analytics driving more concrete insights about their customers and their own business operations. To learn more download this white paper.
