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ESG Economic Validation Report: Analyzing the Benefits of Gigamon

Published By: Gigamon     Published Date: Sep 03, 2019
Dataflow is increasing at a rate unseen in history. Network managers are tasked with enabling massive quantities of new data in a secure and highly available fashion, all while facilitating access to new types of form factors and data stores. This challenge is often met with layers of networking hardware and tools resulting in a complex mess, or even worse, a culture of network protectionism that inhibits business innovation.
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Gigamon

7 Hypercard Use Cases For The Intelligent Enterprise

Published By: MicroStrategy     Published Date: Aug 28, 2019
Why HyperIntelligence? Today, despite massive investments in data, IT infrastructure, and analytics software, the adoption of analytics continues to lag behind. In fact, according to Gartner, most organizations fail to hit the 30% mark. That means that more than 70% of people at most organizations are going without access to the critical information they need to perform to the best of their abilities. What’s stopping organizations from breaking through the 30% barrier and driving the pervasive adoption of intelligence? Simple. The majority of existing tools only cater to users who are naturally analytically inclined—the analysts, data scientists, and architects of the world. The other 70%—the people making the operational decisions daily within a business—simply lack the time, skill, or desire to seek out data and intelligence on their own. HyperIntelligence helps organizations operationalize their existing investments and arm everyone across the organization with intelligence. Whether
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MicroStrategy

How CXOs Are Using Secure IoT to Drive Business Growth

Published By: Great Bay Software     Published Date: Jan 09, 2019
IoT adoption is expected to generate a 21% increase in corporate profits by 2022. This business value comes from the ability to automate processes and collect and analyze massive amounts of data—so organizations can make better informed decisions and deliver powerful customer experiences. But how are organizations really putting IoT to work for their business? And how can IoT risks be mitigated so these rewards can truly be achieved? This e-book explores the potential of IoT in the enterprise, which industries are leading the way and how to secure your connected things. It also provides: • 7 best practices for data privacy and security policies • 7 items to consider for device security • 6 key considerations for network connection security
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Great Bay Software

Makino Drives Digital Transformation with Aryaka SD-WAN

Published By: Aryaka Networks     Published Date: Sep 06, 2018
Makino, a leader in manufacturing, required a global network to transfer massive amounts of data from their HQ to regional tech departments. Learn why Makino replaced their MPLS circuits with Aryaka.
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Aryaka Networks

AI And Machine Learning Success Requires An Architectural Approach To Infrastructure

Published By: Cisco     Published Date: Mar 22, 2019
Artificial intelligence (AI) and machine learning (ML) are emerging technologies that will transform organizations faster than ever before. In the digital transformation era, success will be based on using analytics to discover the insights locked in the massive volume of data being generated today. Historically, these insights were discovered through manually intensive data analytics—but the amount of data continues to grow, as does the complexity of data. AI and ML are the latest tools for data scientists, enabling them to refine the data into value faster.
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Cisco

Make IT Smarter with Intelligent Storage

Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
Discover how HPE is responding to the massive growth in enterprise data with intelligent storage. Data helps enterprises find new ways to reach and serve customers to grow profitability, but only when it is available at the right place and the right time. The growing complexity of managing and securing data prevents businesses from gaining its full value. Hewlett Packard Enterprise delivers the world’s most intelligent storage for the hybrid cloud world by providing storage that is driven by artificial intelligence, built for the cloud, and delivered as a service.
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Hewlett Packard Enterprise

HPE White Paper: Make IT Smarter with Intelligent Storage

Published By: Hewlett Packard Enterprise     Published Date: Apr 26, 2019
Discover how HPE is responding to the massive growth in enterprise data with intelligent storage. Data helps enterprises find new ways to reach and serve customers to grow profitability, but only when it is available at the right place and the right time. The growing complexity of managing and securing data prevents businesses from gaining its full value. Hewlett Packard Enterprise delivers the world’s most intelligent storage for the hybrid cloud world by providing storage that is driven by artificial intelligence, built for the cloud, and delivered as a service.
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Hewlett Packard Enterprise

Storage 101: Getting Smart about Scaling Up

Published By: Dell EMC     Published Date: Nov 03, 2016
Small and midsize businesses grapple with the same massive data growth that’s challenging larger organizations, yet they have fewer resources to devote to managing the deluge. A new option from Dell EMC, powered by an Intel® Xeon® processor, is finally giving SMBs access to storage area network technology that’s affordable and easy to manage. Read this white paper to learn more now, including what this technology can offer in terms of benefits, performance, and more.
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storage, server-based, san, vmware, raid, storage management, data integration
    
Dell EMC

Marketing Attribution: Giving Credit Where Credit is Due

Published By: SAS     Published Date: Jan 17, 2018
Consider the many ways that a customer encounters your brand – organic results on a search engine, display media campaigns, social media links, re-targeting on external sites, etc. One thing is certain – consumer journeys are far from linear. They can occur across multiple platforms, devices and browsers. The problem is that organizations are often constrained to channel-limiting decisions regarding their media investment allocations. Marketing attribution helps you analyze the impact and business value of company-generated marketing interactions to help make the best marketing investment decisions. The challenge is to interpret the massive volumes of customer data that continues to expand day by day.
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SAS

ESG Lab Validation Report: VersaStack - Dec 2015

Published By: Cisco     Published Date: Jun 21, 2016
The demands on IT today are staggering. Most organizations depend on their data to drive everything from product development and sales to communications, operations, and innovation. As a result, IT departments are charged with finding a way to bring new applications online quickly, accommodate massive data growth and complex data analysis, and make data available 24 hours a day, around the world, on any device. The traditional way to deliver data services is with separate infrastructure silos for various applications, processes, and locations, resulting in continually escalating costs for infrastructure and management. These infrastructure silos make it difficult to respond quickly to business opportunities and threats, cause productivity-hindering delays when you need to scale, and drive up operational costs.
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Cisco

Oracle SPARC T8 and SPARC M8 Architecture

Published By: Oracle CX     Published Date: Oct 19, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make better
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Oracle CX

Software in Silicon: Enabling Secure Infrastructures for the Real-Time Enterprise

Published By: Oracle CX     Published Date: Oct 19, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make better
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Oracle CX

Secure Platform for Scale-Out and Cloud Infrastructure

Published By: Oracle CX     Published Date: Oct 19, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most companies
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Oracle CX

Data Visualization Techniques From Basics to Big Data With SAS Visual Analytics

Published By: SAS     Published Date: Nov 04, 2015
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time. SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis.
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data visualization, sas, big data, visual analytics, data exploration, analysis, networking, knowledge management
    
SAS

Big data evolution: Forging new corporate capabilities for the long term

Published By: SAS     Published Date: Nov 04, 2015
Big data evolution: forging new corporate capabilities for the long term is an Economist Intelligence Unit report, sponsored by SAS. It explores how far along companies are on their data journey and how they can best exploit the massive amounts of data they are collecting.
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sas, big data, big data evolution, economist intelligence unit, eiu, data journey, networking, it management
    
SAS

SAP HANA: Helping Businesses Run Better--in Real-Time

Published By: SAP     Published Date: May 22, 2012
With SAP In-Memory Computing, massive amounts of data can be queried and analyzed 3600 times faster than before -- turning questions into action and giving you insight you can act on immediately. Your competitors will still be pondering the numbers while you are making your next move. Discover this eBook to learn more.
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sap, ebook, business, computing, technology, real-time, business technology, it management
    
SAP

Building a Data Lake on AWS

Published By: Amazon Web Services     Published Date: Jul 25, 2018
What is a Data Lake? Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyze data that addresses many of these challenges. A Data Lakes allows an organization to store all of their data, structured and unstructured, in one, centralized repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand. Download to find out more now.
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Amazon Web Services

IaaS for Dummies

Published By: Oracle     Published Date: Feb 15, 2018
To succeed in today’s competitive reality, businesses need to free themselves from the limitations of legacy IT infrastructure. The days of purchasing hardware and maintaining massive data centers to run IT must come to an end. Managing and maintaining your infrastructure is simply too expensive. A recent Gartner survey found that more than 80 percent of CIOs consider Infrastructure as a Service (IaaS) to be a viable option and 10 percent of CIOs already consider it to be their default choice for infrastructure. Utilizing an infrastructure with an elastic, pay-as-you-go service model not only reduces costs and worries, but also frees IT organizations to innovate in ways that will enhance business growth.
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iaas, business, legacy, infrastructure, oracle, organisations
    
Oracle

IaaS for Dummies

Published By: Oracle     Published Date: Feb 16, 2018
To succeed in today’s competitive reality, businesses need to free themselves from the limitations of legacy IT infrastructure. The days of purchasing hardware and maintaining massive data centers to run IT must come to an end. Managing and maintaining your infrastructure is simply too expensive. A recent Gartner survey found that more than 80 percent of CIOs consider Infrastructure as a Service (IaaS) to be a viable option and 10 percent of CIOs already consider it to be their default choice for infrastructure. Utilizing an infrastructure with an elastic, pay-as-you-go service model not only reduces costs and worries, but also frees IT organizations to innovate in ways that will enhance business growth.
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iaas, business, legacy, infrastructure, oracle, organisations
    
Oracle

Oracle Special Edition IaaS for Dummies

Published By: Oracle     Published Date: Nov 08, 2017
To succeed in today’s competitive reality, businesses need to free themselves from the limitations of legacy IT infrastructure. The days of purchasing hardware and maintaining massive data centers to run IT must come to an end. Managing and maintaining your infrastructure is simply too expensive. Explanation of the Oracle IaaS solutions and cases studies.
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oracle database, enterprise, quality assurance, data center, server infrastructure, storage management, oracle
    
Oracle

Key technical support considerations for the cognitive era

Published By: IBM APAC     Published Date: May 18, 2017
Today, everything computes. Intelligence has been infused into things no one would recognize as computers: appliances, cars, roadways, clothes, even rivers and cornfields. Tomorrow, many of these things will think, thanks to breakthroughs in cognitive computing. Even the things that don’t think themselves will continue collecting and reporting the massive quantities of data that feed cognitive systems.
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ibm, tss, cloud, mobile, appliances
    
IBM APAC

Accelerate Workload Performance: A Blueprint to Storage Modernization

Published By: Hewlett Packard Enterprise     Published Date: Jul 12, 2018
Organizations are running their business on exponentially more data, created by more users, from different devices, and through different IT services and digital processes. While some data growth is fueled by new applications, it also arrives increasingly from non-traditional IT sources, including digital media, machines, and edge devices. Edge IoT devices are generating a massive amount of data that must be managed, monitored, stored, and analyzed. Deciding where to perform each of these functions is critical to supporting new data-driven global business services and processes. This blueprint from HPE Pointnext, the Services division of HPE, is based on real-world experiences from many customers across a range of industries on how to leverage flash storage modernization.
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Hewlett Packard Enterprise

Beyond Relational

Published By: MarkLogic     Published Date: Jun 09, 2017
Today, data is big, fast, varied and constantly changing. As a result, organizations are managing hundreds of systems and petabytes of data. However, many organizations are unable to get the most value from their data because they’re using RDBMS to solve problems they weren’t designed to fix. Why change? In this white paper, we dive into the details of why relational databases are ill-suited to handle the massive volumes of disparate, varied, and changing data that organizations have in their data centers. It is for this reason that leading organizations are going beyond relational to embrace new kinds of databases. And when they do, the results can be dramatic
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MarkLogic

Accelerate Deep Learning with a Modern Data Platform

Published By: Pure Storage     Published Date: Apr 18, 2018
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data. Amazon CEO Jeff Bezos spoke about the potential of artificial intelligence and machine learning at the 2017 Internet Association‘s annual gala in Washington, D.C., “It is a renaissance, it is a golden age,” Bezos said. “We are solving problems with machine learning and artificial intelligence that were in the realm of science fiction for the last several decades. Natural language understanding, machine vision problems, it really is an amazing renaissance.” Machine learning and AI is a horizontal enabling layer. It will empower and improve every business, every government organization, every philanthropy
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Pure Storage

Accelerate Deep Learning with a Modern Data Platform

Published By: Pure Storage     Published Date: Apr 10, 2019
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data
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Pure Storage
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