enterprises

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By: NetApp     Published Date: -
Enterprise data is growing rapidly - reaching multiple petabytes of data or even billions of files for many organizations. To maximize the business value of this data, enterprises need a storage infrastructure to store, manage, and retrieve a massive amount of data. This ebook shows you how to address large content repository challenges with object storage. You'll learn how to effectively address long-term retention policies, find and retrieve content quickly from long-term repositories and using object storage efficiently.
Tags : object storage, storage infrastructure
     NetApp
By: IBM     Published Date: May 20, 2015
According to our global study of more than 800 cloud decision makers and users are becoming increasingly focused on the business value cloud provides. Cloud is integral to mobile, social and analytics initiatives – and the big data management challenge that often comes with them and it helps power the entire suite of game-changing technologies. Enterprises can aim higher when these deployments are riding on the cloud. Mobile, analytics and social implementations can be bigger, bolder and drive greater impact when backed by scalable infrastructure. In addition to scale, cloud can provide integration, gluing the individual technologies into more cohesive solutions. Learn how companies are gaining a competitive advanatge with cloud computing.
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     IBM
By: Storiant     Published Date: Mar 16, 2015
Read this new IDC Report about how today's enterprise datacenters are dealing with new challenges that are far more demanding than ever before. Foremost is the exponential growth of data, most of it unstructured data. Big data and analytics implementations are also quickly becoming a strategic priority in many enterprises, demanding online access to more data, which is retained for longer periods of time. Legacy storage solutions with fixed design characteristics and a cost structure that doesn't scale are proving to be ill-suited for these new needs. This Technology Spotlight examines the issues that are driving organizations to replace older archive and backup-and-restore systems with business continuity and always-available solutions that can scale to handle extreme data growth while leveraging a cloudbased pricing model. The report also looks at the role of Storiant and its long-term storage services solution in the strategically important long-term storage market.
Tags : storiant, big data, analytics implementations, cloudbased pricing model, long-term storage services solution, long-term storage market
     Storiant
By: RedPoint     Published Date: Sep 22, 2014
Enterprises can gain serious traction by taking advantage of the scalability, processing power and lower costs that Hadoop 2.0/YARN offers. YARN closes the functionality gap by opening Hadoop to mature enterprise-class data management capabilities. With a lot of data quality functionality left outside of Hadoop 1, and a lot of data inside HDFS originating outside the enterprise, the quality of the data residing in the Hadoop cluster is sometimes as stinky as elephant dung. Some of the topics discussed in this paper include: • The key features, benefits and limitations of Hadoop 1.0 • The benefit of performing data standardization, identity resolution, and master data management inside of Hadoop. • The transformative power of Hadoop 2.0 and its impact on the speed and cost of accessing, cleansing and delivering high-quality enterprise data. Download this illuminating white paper about what YARN really means to the world of big data management.
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     RedPoint
By: MEMSQL     Published Date: Apr 12, 2016
The pace of data is not slowing. Applications of today are built with infinite data sets in mind. As these real-time applications become the norm, and batch processing becomes a relic of the past, digital enterprises will implement memory-optimized, distributed data systems to simplify Lambda Architectures for real-time data processing and exploration.
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     MEMSQL
By: MapR Technologies     Published Date: Sep 04, 2013
Enterprises are faced with new requirements for data. We now have big data that is different from the structured, cleansed corporate data repositories of the past. Before, we had to plan out structured queries. In the Hadoop world, we don’t have to sort data according to a predetermined schema when we collect it. We can store data as it arrives and decide what to do with it later. Today, there are different ways to analyze data collected in Hadoop—but which one is the best way forward?
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     MapR Technologies
By: Intel     Published Date: Aug 06, 2014
Around the world and across all industries, high-performance computing is being used to solve today’s most important and demanding problems. More than ever, storage solutions that deliver high sustained throughput are vital for powering HPC and Big Data workloads. Intel® Enterprise Edition for Lustre* software unleashes the performance and scalability of the Lustre parallel file system for enterprises and organizations, both large and small. It allows users and workloads that need large scale, high- bandwidth storage to tap into the power and scalability of Lustre, but with the simplified installation, configuration, and monitoring features of Intel® Manager for Lustre* software, a management solution purpose-built for the Lustre file system.Intel ® Enterprise Edition for Lustre* software includes proven support from the Lustre experts at Intel, including worldwide 24x7 technical support. *Other names and brands may be claimed as the property of others.
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     Intel
By: Dell and Intel®     Published Date: Aug 24, 2015
Many enterprises are embracing Hadoop because of the unique business benefits it provides. But, until now, this rapidly evolving big data technology hadn’t always met enterprise security needs. In order to protect big data today, organizations must have solutions that address four key areas: authentication, authorization, audit and lineage, and compliant data protection.
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     Dell and Intel®
By: Stripe     Published Date: Aug 06, 2019
Payments is an increasingly strategic area of focus for enterprises, impacting market expansion, customer experience, business model evolution and, ultimately, revenue growth. As the role of payments in business strategy continues to expand, enterprises need secure, reliable and scalable infrastructure to underpin their transaction acceptance and processing capabilities. Stripe commissioned 451 Research to understand how large enterprise-scale merchants are thinking through their online payments infrastructure requirements. 451 Research surveyed 800 merchants across 8 countries, including a mix of business decision-makers from payments to finance to IT. KEY FINDINGS • 87% of mid- and large-sized businesses surveyed use the cloud as their dominant payments environment. • Nearly two-thirds of respondents using the public cloud for payments have seen improvements in security, innovation and uptime, while nearly three in five cited improved scalability. • Respondents using public-cloud-
Tags : payment security, platform as a service (paas), foreign currency transactions, fraud protection, payment solutions
     Stripe
By: Stripe     Published Date: Aug 06, 2019
Payments are essential to the success of marketplaces and platforms that connect buyers to sellers, where transactions are a critical component of customers’ satisfaction. Sellers seek fast and flexible payouts, while both sellers and buyers look for an integrated and seamless experience. With the increasing complexity of multi-party transactions on platforms, these expectations are difficult to meet. Stripe commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying Stripe Connect, an offering that allows marketplaces and platforms to accept payments from and send payouts to third parties. Forrester’s interviews with four existing Stripe clients and subsequent financial analysis found that an organization based on these interviewed organizations experienced benefits of $6.1 million over three years versus costs of $1.3 million, adding up to a net present value (NPV) of $4.
Tags : payment solutions, payment processing, pci compliance, platform as a service (paas), business payment solutions
     Stripe
By: KPMG     Published Date: Sep 04, 2019
Banking is rapidly being transformed by one, distinct theme: digital technology. For those leading the charge, there is no longer a distinction between a business strategy and a technology strategy. There is just strategy driven by technology and the client needs it will evolve to continually meet. In this new world, upgrading existing operations and making legacy systems fit new challenges is not going to be enough. To succeed, banks need to become future-ready, connected enterprises, backed by a new type of technology and operating model that is nimble enough to adapt to new challenges and growth opportunities.
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     KPMG
By: NTT Ltd.     Published Date: Aug 15, 2019
As businesses are driven to digital transformation by changing market forces and customer expectations, many are looking to new technologies, including new infrastructure environments, as enablers. As a result, we are seeing a near-universal appetite for hybrid outcomes as business functions are executed across multiple on-premises and external infrastructure environments in pursuit of agility, cost, performance and other business benefits. Hybrid IT has become a key strategic imperative for a large portion of enterprises, impacting their IT objectives and expectations, and likely leading to new engagements with service provides for help designing, building and operating hybrid environments.
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     NTT Ltd.
By: Gigamon     Published Date: Sep 03, 2019
Network operations teams can no longer ignore the application layer. Application experience can make or break a digital enterprise, and today most enterprises are digital. To deliver optimal performance, network operations tools must be application-aware. However, application-awareness in the network and security tool layer is expensive and difficult to scale. Enterprises can mitigate these challenges with a network visibility architecture that includes application-aware network packet brokers (NPBs). EMA recommends that today’s network operations teams modernize their approach with full application visibility. EMA research has found that network teams are increasingly focused on directly addressing security risk reduction, service quality, end-user experience, and application performance. All of these new network operations benchmarks will require deeper application-level visibility. For instance, a network team focused on service quality will want to take a top-down approach to perfo
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     Gigamon
By: NTT Ltd.     Published Date: Aug 05, 2019
Enterprises preparing for a digital future have much to consider when they modernise their network infrastructure and have to contend with connectivity demands from their business units, staff, and customers. In this e-book, leaders from different parts of our business provide their perspectives on how to approach digital transformation. In our experience at Dimension Data, now part of NTT Ltd., you can’t look at any one piece of the infrastructure puzzle without looking at all of it. And it’s the network that holds all those pieces together.
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     NTT Ltd.
By: IBM APAC     Published Date: Jul 19, 2019
According to IDC, SDS is transforming the IT deployment and consumption of storage resources creating peace of mind. So, deploying SDS is not a matter of “if” but a matter of “when”! SDS survey showed that 75% of enterprises have deployed or are considering to deploy SDS in their environment. This white paper looks at how 61% of enterprises that deployed SDS have realized tangible benefits, such as: • Reduction in CAPEX/OPEX costs • Ease of management • Reduction in provisioning time
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     IBM APAC
By: Tricentis     Published Date: Aug 19, 2019
Think back just 5 years ago. In 2014… • The seminal DevOps book—Gene Kim’s The Phoenix Project—was one year old • Gartner predicted that 25% of Global 2000 enterprises would adopt DevOps to some extent by 20161 • "Continuous Testing” just started appearing in industry publications and conferences2 • Many of today’s popular test frameworks were brand new—or not yet released • The term “microservices” was just entering our lexicon • QC/UFT and ALM were still sold by HP (not even HPE yet) • Only 30% of enterprise software testing was performed fully “in house”3 • There was no GDPR restricting the use of production data for software testing • Packaged apps were typically updated on an annual or semi-annual basis and modern platforms like SAP S/4HANA and Salesforce Lightning hadn’t even been announced Times have changed—a lot. If the way that you’re testing hasn’t already transformed dramatically, it will soon. And the pace and scope of disruption will continue to escalate throughout the fo
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     Tricentis
By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
"The state of chatbots has quickly evolved from a fad to an essential part of corporate strategy. No longer a nascent technology, chatbots have matured into solutions that enterprises across industries are taking seriously. But how do we distinguish a simple chatbot from human-like, AI- driven conversational solutions that we now see businesses adopting? In this three part series, we will examine what it means to deploy “Conversational A.I.” for the enterprise"
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     Group M_IBM Q3'19
By: Group M_IBM Q3'19     Published Date: Jun 25, 2019
To become more effective, enterprises must fast-track projects to digitally connect their organizations. Building value and providing compelling customer experiences at lower cost requires more than a quick technology fix; it demands a business and technological commitment to a new target operating model (TOM). This operating model should offer a way of running the organization that combines digital technologies and operational capabilities to achieve improvements in revenue, customer experience and cost. Enabling digital capabilities via the TOM is an ongoing process that requires DevOps skills and agile development techniques. This is easier to achieve with partners that have the requisite capabilities to help with the creation of new digital assets
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     Group M_IBM Q3'19
By: Group M_IBM Q3'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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     Group M_IBM Q3'19
By: Group M_IBM Q3'19     Published Date: Aug 12, 2019
Welcome to Secure Hybrid Cloud For Dummies, IBM Limited Edition. The hybrid cloud is becoming the way enterprises are transforming their organizations to meet changing customer requirements. Businesses are discovering that in order to support the needs of customers, there is an imperative to leverage the highly secure IBM Z platform to support missioncritical workloads, such as transaction management applications. The Z platform has been transformed over the years. The combination of z/OS, LinuxONE, open APIs, and the inclusion of Kubernetes has made IBM Z a critical partner in the hybrid cloud world. Businesses can transform their IBM Z environments into a secure, private cloud. In addition, through IBM’s public cloud, businesses may take advantage of IBM Z’s security services to protect their data and applications.
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     Group M_IBM Q3'19
By: Group M_IBM Q3'19     Published Date: Sep 04, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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     Group M_IBM Q3'19
By: MicroStrategy     Published Date: Aug 28, 2019
The Constellation AstroChartTM supplies a visual guide of the trends impacting Data to Decisions. After assessing boardroom priorities, organizations should employ AstroCharts to inform portfolio management. This report contains two AstroCharts: one identifying Business Trends and one identifying Technology Trends. The AstroCharts’ vertical axes plot “Organizational Adoption” rates from Mainstream to Early Adopter to Bleeding Edge. Horizontal axes plot “Business Impact,” the impact of the trend on an organization’s business model, from Incremental to Transformational to Exponential. The Constellation AstroChart moves beyond both the hype and constraints of the standard 2 x 2 grid to identify the dynamics impacting the entire market. This report applies Constellation’s AstroChart to the Constellation’s business theme of Data to Decisions. This research domain examines the enablement of data-driven decisions across organizations. Holistic, data-informed decisions require a multidisciplin
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     MicroStrategy
By: Jamf     Published Date: Aug 06, 2019
Today, more than 100-plus million users rely on Windows 7. For these users, a new technology age is coming on January 14, 2020 when Microsoft officially ends extended support for Windows 7. With a change required, this is the ideal time for organizations to determine if they want to migrate to Windows 10 or look to modernize their workplace by following the growing trend of enterprises that have introduced employee choice programs and Mac to their environment. This e-book examines the options organizations have and how they can make the most beneficial and economical decision.
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     Jamf
By: Jamf     Published Date: Aug 06, 2019
Hobson & Company (H&C), a leading research firm focused on total cost of ownership (TCO) and return on investment (ROI) studies, conducted independent research and found that a proven Apple device management solution delivers a quick and compelling ROI to both large and small enterprises. • Simplifying IT management o 90% reduction in time spent managing apps o 80% reduction in time spent provisioning • Improving end-user experience o 60% reduction in end-user productivity loss o 15% reduction in volume of help desk tickets • Mitigating risk o 90% reduction in time spent creating inventory reports o 65% reduction in time spent managing policy and setting changes
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     Jamf
By: Infosys     Published Date: Sep 12, 2019
Digital-born companies have challenged large long-established businesses across industries with newer data, AI-powered experiences, products/services. Sustained competitive advantage through customer ownership and seller power has since been significantly challenged and overturned. Customers are taking to newer AI and data-powered products/services in their pursuit of better experiences and exponentially higher value. This has triggered every company to challenge status-quo, unleash themselves from very structure of industry and embrace transformation in the new world. Data and AI have shaped themselves into a major economic force that is at the epicenter of transformation of every industry; through 3 horizons. Data, in the first horizon, was the key ingredient in driving more data-driven decisions. Data, in the second horizon, is playing a transformational role in the enterprises' pursuit of being Data Native Digital Native enterprise.
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     Infosys
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