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Published By: Logicalis     Published Date: May 06, 2014
Most data initiatives face roadblocks from both technology and business perspectives. What steps can you take to resolve them, and what are the areas where an IT provider can help?
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hewlett packard, logicalis, data centers, data, data management, big data, digital asset management, data center services
    
Logicalis
Published By: Microsoft Azure     Published Date: Apr 05, 2018
Securing data and systems is a top priority for organizations. But meeting this challenge gets more difficult every day as attacks grow more sophisticated, employees use a wider array of devices and applications, and data flows into and out of your business in more ways
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Microsoft Azure
Published By: Veeam '18     Published Date: May 01, 2019
Financial services organisations face increasing pressure to comply with rapidly evolving regulatory requirements for data integrity and security. In addition, valuable stored data continues to grow at exponential rates. Meanwhile, customers expect around-the-clock access to their account information from their computers and mobile devices. In fact, many banks have developed customised mobile applications that enable 24/7/365 account transactions, including deposits and transfers of funds.
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Veeam '18
Published By: MuleSoft     Published Date: Apr 13, 2016
APIs are the key to creating new digital channels. They facilitate internal and external data sharing, enable mobile applications, and create new monetization opportunities. APIs are the key to creating new digital channels. They facilitate internal and external data sharing, enable mobile applications, and create new monetization opportunities. Read this eBook to learn: -how to define the business objectives that APIs will help achieve -best practices to design, manage, and deploy APIs -monitor and measure the impact of your APIs
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digital infrastructure, data, data sharing, best practices, data management, application management
    
MuleSoft
Published By: CDW     Published Date: Oct 10, 2013
A team approach and careful consideration of operational and security issues will pave the way for effective guidance. The drivers are many, but big draws include the potential for greater productivity — giving people anywhere, anytime access to information via devices they’re comfortable with.
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mobile device policy, mobile data policy, mobility goals, byod, user profile, device security, mobile applications, app availability
    
CDW
Published By: WatchGuard Technologies     Published Date: Apr 20, 2011
This white paper examines five steps to better security that today's retail businesses can't afford to ignore on their networks - from application control to data loss prevention - to ensure business continuity and PCI DSS compliance.
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watchguard xcs, security for retailers, zeus botnet, web security, web content filtering, https inspection, data loss prevention, targeted attacks
    
WatchGuard Technologies
Published By: Cisco     Published Date: Jan 05, 2015
The data center has gone through many major evolutionary changes over the past several decades, and each change has been defined by major shifts in architectures. The industry moved from the mainframe era to client/server computing and then to Internet computing. In 2011, another major shift began: the shift to a virtual data center. This has been the primary driver in enabling customers to transition to the cloud and ultimately IT as a service. The shift to a virtual data center will be the single biggest transition in the history of computing. It will reshape all the major data center tiers: applications, storage, servers and the network.
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data center, consolidation, server virtualization, new applications
    
Cisco
Published By: Cisco     Published Date: May 14, 2015
The shift to a virtual data center will be the single biggest transition in the history of computing. It will reshape all the major data center tiers: applications, storage, servers and the network.
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data center, software, networking
    
Cisco
Published By: Microsoft     Published Date: Jul 20, 2018
Although AI research has been ongoing for decades, the past few years have seen a leap in practical innovations, catalyzed by vast amounts of digital data, online services, and enormous computing power. As a result, technologies such as natural-language understanding, sentiment analysis, speech recognition, image understanding, and machine learning have become accurate enough to power applications across a broad range of industries.
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Microsoft
Published By: Pure Storage     Published Date: Oct 09, 2018
Apache® Spark™ has become a vital technology for development teams looking to leverage an ultrafast in-memory data engine for big data analytics. Spark is a flexible open-source platform, letting developers write applications in Java, Scala, Python or R. With Spark, development teams can accelerate analytics applications by orders of magnitude
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Apache® Spark™ has become a vital technology for development teams looking to leverage an ultrafast in-memory data engine for big data analytics. Spark is a flexible open-source platform, letting developers write applications in Java, Scala, Python or R. With Spark, development teams can accelerate analytics applications by orders of magnitude.
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Pure Storage
Published By: T2 Tech Group     Published Date: May 09, 2018
Download this white paper to learn a method to group applications and prepare for an application migration.
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application migration, migration, data center management, applications, application management, healthcare applications, healthcare cloud, cloud computing
    
T2 Tech Group
Published By: MemSQL     Published Date: Nov 15, 2017
Pairing Apache Kafka with a Real-Time Database Learn how to: ? Scope data pipelines all the way from ingest to applications and analytics ? Build data pipelines using a new SQL command: CREATE PIPELINE ? Achieve exactly-once semantics with native pipelines ? Overcome top challenges of real-time data management
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digital transformation, applications, data, pipelines, management
    
MemSQL
Published By: CA Technologies     Published Date: Aug 22, 2017
OAuth is an emerging Web standard for authorizing limited access to applications and data. It is designed so that users can grant restricted access to resources they own—such as pictures residing on a site like Flickr or SmugMug—to a third-party client like a photo printing site. In the past, it was common to ask the user to share their username and password with the client, a deceptively simple request masking unacceptable security risk. In contrast to this, OAuth promotes a least privilege model, allowing a user to grant limited access to their applications and data by issuing a token with limited capability.
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CA Technologies
Published By: Juniper Networks     Published Date: Aug 08, 2017
Business evolution and technology advancements during the last decade have driven a sea change in the way data centers are funded, organized, and managed. Enterprises are now focusing on a profound digital transformation which is a continuous adjustment of technology management resources to deliver business results, guided by rapid review of desired outcomes related to end clients, resources, and budget constraints. These IT transitions are very much part of the competitive landscape, and executed correctly, they become competitive differentiators and enable bottom line growth. These outcomes are driving data centers to virtualization, service-oriented architectures, increased cybersecurity, “big data,” and “cloud,” to name a few of the key factors. This is completely rethinking and retooling the way enterprises handle the applications, data, security, and access that constitute their critical IT resources. In essence, cloud is the new IT.
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Juniper Networks
Published By: Infosys     Published Date: May 30, 2018
The digital world has made it possible for enterprises to reach, and deliver services to customers near and far through mobile applications. However, regular and rapid rollout of features and new versions across geographies and different operating systems call for flawless applications and mobile app testing capabilities. A chemical giant wanted to deliver agriculture data and services to their farmer clients across geographies through their mobile applications. See how Infosys helped and the five key takeaways from the project.
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Infosys
Published By: Infosys     Published Date: Jun 12, 2018
The digital world has made it possible for enterprises to reach, and deliver services to customers near and far through mobile applications. However, regular and rapid rollout of features and new versions across geographies and different operating systems call for flawless applications and mobile app testing capabilities. A chemical giant wanted to deliver agriculture data and services to their farmer clients across geographies through their mobile applications. See how Infosys helped and the five key takeaways from the project.
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mobile, digital, customer, applications
    
Infosys
Published By: IBM     Published Date: Jul 02, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
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IBM
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
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Group M_IBM Q418
Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
The bar for success is rising in higher education.  University leaders and IT administrators are aware of the compelling benefits of digital transformation overall—and artificial intelligence (AI) in particular. AI can amplify human capabilities by using machine learning, or deep learning, to convert the fast-growing and plentiful sources of data about all aspects of a university into actionable insights that drive better decisions. But when planning a transformational strategy, these leaders must prioritize operational continuity. It’s critical to protect the everyday activities of learning, research, and administration that rely on the IT infrastructure to consistently deliver data to its applications.
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Hewlett Packard Enterprise
Published By: JBoss Developer     Published Date: Oct 21, 2016
Java applications have been a central technology for enterprises for two decades. This wealth of data, functionality, and knowledge are critical to enterprises. With Java-based applications, modern development can build on a platform that enables cloud-native architectures while simultaneously supporting existing applications. This combination of traditional enterprise-wide monoliths and cloud-based application deployment allows organizations to take advantage of existing knowledge and resources while actively moving toward newer application models.
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middleware, java, big data, analytics, mobile development
    
JBoss Developer
Published By: Red Hat     Published Date: Jan 02, 2018
Organizations are at a strategic crossroads. According to IDC analysts,1 two-thirds of CEOs will center their corporate strategies around digital transformation initiatives. The goal of digital transformation is only partly to make existing functions more effective. The greater goal is to be able to do new things and use existing data in new, better ways. Yet, 72% of current IT spending2—and the focus of IT resources—is on maintaining existing systems. This creates tension between what needs to be done today and what should be done for the future. Middle-tier applications, according to IDC,3 are the core of a digital transformation strategy because they provide data integration, messaging, and application programming interface (API) management. Middle-tier applications also provide a platform for application development and management that can handle traditional enterprise applications and cloud-native, distributed applications. Specifically, a Java™ EE-based application platform can
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Red Hat
Published By: SchemaLogic     Published Date: Jun 11, 2008
SchemaLogic Enterprise Suite for Microsoft SharePoint 2007 (SES) resolves SharePoint issues by providing a framework that enables companies to model and connect the structures and relationships of the metadata across the entire SharePoint environment. SES continuously updates and synchronizes metadata across SharePoint site collections, Web applications and farms by leveraging and extending SharePoint’s native capabilities.
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schemalogic, sharepoint, business tools, productivity, collaboration, collaboration tool, share point, microsoft
    
SchemaLogic
Published By: Dassault Systèmes     Published Date: Jun 19, 2018
This white paper outlines a framework that emphasizes digitization and business transformation and the new opportunities pull processes bring. The mechanism of “Pull” processes—those triggered by an actual event instead of a forecast—is nothing new. It is at the heart of many successful manufacturing strategies. Recent technological advances in digitization, including the harnessing of Big Data analytics, the use of the cloud, Business Process Management (BPM), social media, IIoT, and mobility, have extended the power of Pull beyond Lean manufacturing. In the wake of the current technological innovation wave, it is not uncommon for manufacturers to not know what next step to take. In light of these new developments, this white paper will focus on the mechanism of business transformation enabled by these technologies, which can be attributed to two major forces: the power of Pull and digitization. Nine practical applications are detailed, showing how innovative manufacturers can better
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Dassault Systèmes
Published By: IBM     Published Date: Oct 22, 2013
Developers must deliver high-quality applications while limiting their testing expenses. In this challenging environment, a combination of automated integration testing and test virtualization can enable test teams to improve software quality and keep up with the rate of change.
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ibm, integration testing, optimize test efficiency, incremental integration, employ test virtualization, system-level testing, asset sharing, effective data management
    
IBM
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