Purpose-built for use with the dynamic computing resources available from Amazon Web Services ™ the Intel Lustre* solution provides the fast, massively scalable storage software needed to accelerate performance, even on complex workloads. Download now to learn more.
According to Dr. Barry Devlin of 9sight Consulting, the truth behind all the talk about big data and the possibilities it can offer is not hard to see, provided that organizations are willing to return to the principles of good data management processes.
Simply put, software defined storage is the abstraction of storage services from storage hardware. This term is more than just marketing hype, it’s the logical evolution of storage virtualization from simply being a storage aggregator to the end goal of storage as a service. To achieve this goal, software defined storage needs a platform from which to centralize.
In this Advisory, Clabby Analytics looks more closely at the importance of implementing an integrated infrastructure — and its relationship to business analytics. The paper will examine the business analytics workloads, discuss how these workloads put different demands on the underlying systems and infrastructure, and provide guidance designing an integrated business analytics environment that will provide organizations with high performance, resiliency, and a scalable growth path.
Forward-thinking organizations are recognizing the superiority of Power Systems* technology. The Power Systems family offers the ultimate system for today’s compute intensive business applications and databases. “Power Systems continues to prove itself as the ultimate system for compute intensive workloads, high performance analytics, high performance UNIX*, and high performance computing.
Watson’s success in the Jeopardy! challenge was inspiring, but the business impact of optimized systems design is just beginning. With smarter analytics solutions optimized on IBM Power Systems, you can put Watson's technology to work and ensure that you
Data center administrators face a significant challenge: They need to secure the data center without compromising the performance and functionality that new data center environments enable. Many are looking to secure the data center using solutions designed for the Internet edge, but these solutions are not enough. The data center has unique requirements around provisioning, performance, virtualization, applications, and traffic that Internet-edge security devices are simply not designed to address.
Technological integration doesn’t happen overnight, of course. It takes years of behind-the-scenes teamwork and engineering—backed by decades of expertise, research, and development—to have a broad and lasting impact.
This special edition of Unleashing IT highlights the fruits of those labors, showcasing the unparalleled alignment of Microsoft, Cisco, and Intel technologies. In the following pages, you’ll read about the advancement and unique value of integrated solutions, spanning cloud environments, data centers, and management tools. You’ll also hear from organizations that are taking advantage of these converged technologies, including King County, Provincia Net, and Swinburne University.
With Microsoft, Cisco, and Intel, you have a triad of innovators and leaders that recognize the value of integration, virtualization, and unified management. A triad that continues to work behind-the-scenes to reduce the complexity and increase the capability of enterprise solutions.
Cisco commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying the Cisco Data Virtualization solution. The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of investing in the Cisco Data Virtualization solution for their organizations.
To better understand the benefits, costs, and risks associated with Cisco Data Virtualization, Forrester gathered data through interviews with customers who had multiple years’ experience using the solution. All organizations used Cisco Data Virtualization as a single data virtualization integration platform to query and access data across their network. This includes accessing data that resides on the cloud and on-premises across various sources and systems.
Self-service analytics implies that users design and develop their own reports and do their own data analysis with minimal support by IT. Most recently, due to the availability of tools, such as those from Qlik, Spotfire, and Tableau, self-service analytics has become immensely popular. Besides powerful analytical and visualization capabilities, they all support functionality for accessing and integrating data sources. With respect to this aspect of data integration four phases can be identified in the relatively short history of self-service analytics. This whitepaper describes these four phases in detail and shows how the tools Cisco Data Preparation (CDP) and Cisco Information Server (CIS) for data virtualization can strengthen and enrich the self-service data integration capabilities of tools for reporting and analytics.
This document contains Confidential, Proprietary and Trade Secret Information (“Confidential Information”) of Radiant Advisors. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or any means electronic or mechanical, including photocopying and recording for any purpose other than the purchaser’s personal use without the written permission of Radiant Advisors.
While every attempt has been made to ensure that the information in this document is accurate and complete, some typographical errors or technical inaccuracies may exist. Radiant Advisors does not accept responsibility for any kind of loss resulting from the use of information contained in this document. The information contained in this document is subject to change without notice.
IT organizations use colocation centers for a variety of reasons, but not all colocation providers offer the same value and functionality, and many come with inherent risks. When choosing a colocation provider, careful consideration is essential. This guide will show you how to choose the right provider.
Virtualization caused a major cultural shift in IT. By enabling physical assets to be better utilized, IT teams realized that they could deliver systems to their customers in a more timely manner, thereby delivering better value. In this webinar you will learn what is NetOps and how is it different from DevOps.
Download this white paper to see why securing the data center requires a solution that can:
-Provide visibility and control over custom data center applications
-Handle asymmetric traffic flows and application transactions between devices and data centers
-Adapt as data centers evolve: to virtualization, software-defined networking (SDN), network functions virtualization (NFV), Cisco -Application-Centric Infrastructures (ACIs) and beyond
-Address the entire attack continuum: before, during, and after an attack
-Integrate with security deployed across the entire network
-Support geograpically dispersed inter-DC traffic and deployments, including private, public and cloud environments
Discover service virtualization and how it fits into the big picture of software quality. In this book, Service Virtualization For Dummies, IBM Limited Edition written by industry analysts Marcia Kaufman and Judith Hurwitz, learn how to deliver higher quality software by increase the efficiency and effectiveness of your testing processes while reducing testing downtime and testing cost.
The book covers the following topics and more:
• Understand the changing relationship between IT and business — quicker delivery is required
• Examine today’s complex applications — mobile, web, social meet middleware, packaged apps, databases, and mainframes.
• Discover how to begin with service virtualization — build your business case.
• Realize the benefits of service virtualization —enable earlier testing to eliminate surprises and reduce risk.
In this book you will also learn how cognitive computing systems, like IBM Watson, fit into the Big Data world. Learn about the concept of data-in-motion and InfoSphere Streams, the world’s fastest and most flexible platform for streaming data.
To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize its value, and integrate it at a more granular level than ever before—focusing on the individual transaction level, rather than on general summary data. As data volumes continue to explode, clients must take advantage of a fully scalable information integration architecture that supports any type of data integration technique such as ETL, ELT (also known as ETL Pushdown), data replication or data virtualization. Read this new whitepaper to learn about the seven essential elements needed to achieve the highest performance.
Built for continuous availability in mission-critical data center environments, Cisco NX-OS has set the standard for resiliency, extensibility, efficiency, and virtualization. Now it has added programmability and automation to that list, too.
For this episode of TechWiseTV, Robb Boyd talks to two foremost experts in this, the world's most deployed operating system in the data center. They discuss all the exciting changes Cisco has made to NX-OS and, more importantly, how organizations can take full advantage of this automation opportunity.
This is truly a deep dive into the full potential of all the components that compose Open NX-OS.
Improve application performance with a simplified network architecture. This Whitepaper on the top 5 benefits of a modernized data center architecture shows you how to optimize your network for business critical applications.
This white paper demonstrates how companies that have moved their SQL databases to the cloud have overcome past performance and security concerns to increase operational efficiency, improve availability and scalability, reduce costs, gain a faster-time to-market, and achieve a better return on investment.