Nimble Storage (NYSE: NMBL), a leader in predictive flash storage, announced its Predictive Flash Platform achieves over six-nines (99.999928%) availability, a new standard for up-time in the infrastructure industry. This level of availability translates to an impact of fewer than 25 seconds annually, empowering IT staff to focus on business priorities instead of routine maintenance with an infrastructure that gets smarter every single day.
Huawei bands together with Alluxio to announce the release of their big data storage acceleration solution, integrating Huawei’s FusionStorage with Alluxio’s memory-speed virtual distributed storage system.
NooBaa Announces Frictionless Storage for Unstructured Data, Based on Innovative Orchestration Architecture
NooBaa, a software-defined-storage (SDS) company, announced the availability its frictionless storage solution. NooBaa software allows enterprises with storage capacity challenges to create a secure, high-performance storage solution across any compute resource available.
In recent years, Big Data has become a major topic in the field of ICT. It is evident that Big Data means business opportunities, but also major research challenges. According to McKinsey & Co1 Big Data is “the next frontier for innovation, competition and productivity”. The impact of Big Data gives not only a huge potential for competition and growth for individual companies, but the right use of Big Data also can increase productivity, innovation, and competitiveness for entire sectors and economies.
This paper examines the growing prevalence of big data across nearly every industry; explains why being good at using and understanding big data is critical for firms that want to compete in their chosen market; and details how businesses can use DataStax Enterprise – a solution specifically designed to manage big data easily and effectively – to exploit the benefits derived from handling big data smartly.
Should the data warehouse be deployed on the cloud? IDC addresses this question on a regular basis. As adoption of cloud software increases, organizations of all sizes across industries and geographic regions are evaluating and assessing the opportunities and challenges of deploying software on the cloud. Data warehousing solutions are no exception to this trend.
Why are some companies able to use Big Data to their advantage, while others remain mired in reams of information, but gain little insight? In many cases, those companies that have found success with Big Data are using data visualization to help make sense of the information.
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.
With today’s needs for complicated data architecture systems and the business’s need to make sure that their data is on the most economical platform, moving away from EDW to platforms like Hadoop can be more than daunting to an organization. This whitepaper walks you through how Teradata customers have used the services team to help them migrate to new platforms seamlessly and why it’s important to have a strategic partner like Teradata when taking on this data movement project.
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.