data collection

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Published By: Amazon Web Services EMEA     Published Date: Sep 09, 2019
Local and regional governments around the world are using the cloud to transform services, improve their operations, and reach new horizons for citizen services. The Amazon Web Services (AWS) cloud enables data collection, analysis, and decision making for smarter cities. This whitepaper provides strategic considerations for local and regional governments to consider as they identify which IT systems and applications to move to the cloud. Real examples that show how cities can stop wasting money, move faster, and innovate.
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Amazon Web Services EMEA
Published By: Dell APAC     Published Date: May 29, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Cisco EMEA     Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
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big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
    
Cisco EMEA
Published By: Entrust Datacard     Published Date: Jun 09, 2017
How are you balancing strong security and the customer experience? The European Union’s General Data Protection Regulation (GDPR) requirement is an opportunity to properly balance privacy and the user experience. Those who embrace it will distinguish themselves as a trustworthy and respectful custodian of their users’ data. Personal data plays an increasingly important part in providing the kind of appealing experience that brings users back time and time again. But, there’s a balance to be struck. Strong security is the best tool available for navigating the dichotomy between an appealing user experience and the risk posed by data breach; it allows the collection and management of personal data in line with the user’s expectations, and without jeopardizing the trust that is so important between them and you.
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Entrust Datacard
Published By: Juniper Networks     Published Date: Oct 25, 2017
As IT becomes the cloud, and ever more central to business success, projects to transform the IT systems, and more specifically the data center, have become strategic and a competitive differentiator. A crucial piece of the data center transformation puzzle, and one which is too often left until the end, is the network. As the central nervous system of the data center, its transformation must be an integral part of the entire data center transformation project.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Juniper Networks
Published By: Juniper Networks     Published Date: Oct 25, 2017
THE FUTURE IS WHAT YOU MAKE IT. Juniper Networks creates innovative technologies to help customers connect their ideas, compete, and thrive in an ever-changing world. Partner with Juniper Networks and start creating the road map to your future-ready network. VISIT JUNIPER.NET/UNITE TO START LOOKING TOWARD THE FUTURE, TODAY.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Juniper Networks
Published By: Juniper Networks     Published Date: Oct 25, 2017
Supporting multiple internal clients and all of their requirements for testing and production networks in more than 1,000 cities around the world—these are the unrelenting challenges for the 12 brands that comprise eBay Classifieds Group. Activating new platforms and features can take a lot of time; with the Juniper solution, turnaround time has been reduced to a few hours—sometimes less—which helps eBay Classifieds turn innovation into a real competitive advantage every single day.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Juniper Networks
Published By: Juniper Networks     Published Date: Oct 25, 2017
The broad adoption of the next generation of cloud, mobile, M2M, and big data applications is having profound impacts on IT and network infrastructures. Compared to traditional applications, these applications have much shorter life cycles. You must be able to spin them up, spin them down, and grow and shrink them on demand. Furthermore, you must be able to move these application workloads within a data center or across geographically distributed data centers, resulting in increased management complexities.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Juniper Networks
Published By: Juniper Networks     Published Date: Oct 25, 2017
The primary purpose of containerized applications is to improve the effectiveness of software teams, making it easier for people to work together while lowering the communications overhead. In large enterprises, applications such as ERP or CRM software suites often begin as simple projects, but as time passes, they quickly become clunky and inefficient, with a monolithic code base that slows progress for development teams.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Juniper Networks
Published By: Juniper Networks     Published Date: Oct 25, 2017
eBay Classifieds supports multiple internal clients and all of their requirements in more than 1,000 cities around the world. The company adopts cloud and virtualization services to get to market faster with new features, services, and campaigns using Juniper Networks Contrail Networking, Contrail Cloud Platform and QFX5100 Switch.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Juniper Networks
Published By: Microsoft     Published Date: Oct 06, 2017
After rapid expansion of vendors and features, players in the operational DBMS market continue converging toward feature parity. Data and analytics leaders will be interested in the lack of Visionaries, competition in the Challengers quadrant and the maturing cloud capabilities among these vendors.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Microsoft
Published By: Microsoft     Published Date: Oct 06, 2017
In jeder Geschichte gibt es eine Wahlmöglichkeit: A oder B, wahr oder falsch, sein oder nicht sein. Bei Daten ist es genauso. Sollen Ihre Daten in einer Public Cloud, einer Private Cloud oder lokal gespeichert werden? In welcher Sprache sollen Sie Ihre Anwendungen schreiben? Auf welcher Plattform sollen diese Apps ausgeführt werden? SQL Server 2017 erspart Ihnen diese schwierigen Entscheidungen – genauso wie Optionen, die Ihre Produktivität einschränken könnten. Verwenden Sie die Sprache Ihrer Wahl auf der Plattform Ihrer Wahl, lokal oder in der Cloud.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Microsoft
Published By: Juniper Networks     Published Date: Aug 10, 2017
To maximize the benefits of its next-generation systems and successfully execute its information strategy, CU had to overcome its aging network. Most of CU’s network infrastructure, which was built from solutions by another vendor, was introduced in 2007, when its computing center was first built. Over time, the equipment began to fail, affecting the stability of applications which relied on network connectivity. Technical support also became a major issue as the equipment faced obsolescence and maintenance contracts with vendors expired.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Juniper Networks
Published By: VMware     Published Date: Apr 09, 2019
To help their business clients unleash innovation and support growth, IT teams need to evolve to a modern data center that is virtualized, software defined and automated, with a consistent operational model for infrastructure and application delivery. In this collection of case studies, we reveal how companies are building more agile, innovative businesses based on VMware solutions.
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VMware
Published By: Veritas & PureStorage     Published Date: Jun 23, 2017
As flash costs continue to drop and new, flash-driven designs help to magnify the compelling economic advantages AFAs offer relative to HDD-based designs, mainstream adoption of AFAs —first for primary storage workloads and then ultimately for secondary storage workloads — will accelerate. Well-designed AFAs that still leverage legacy interfaces like SAS will be able to meet many performance requirements over the next year or two. Those IT organisations that aim to best position themselves to handle future growth will want to look at next-generation AFA offerings, as the future is no longer flash-optimised architectures (implying that HDD design tenets had to be optimised around) — it is flash-driven architectures.
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cloud data, online marketing, customer acquisition, mobile marketing, social marketing, data warehouse, data storage, data collection
    
Veritas & PureStorage
Published By: Gigamon     Published Date: Jun 21, 2019
Organisations have invested heavily in cybersecurity tools and yet more than five million data records are lost or stolen every day. The problem is not that today’s cybersecurity tools are badly designed or missing features, the problem is that surging volumes of network traffic overwhelm security tools, causing administrators to use sampling or disable advanced features in order to preserve application performance. Also, security tools and IT staff don’t get all the data they need to detect and respond to outside attacks and insider incidents, because they are faced with “blind spots” in data collection. Read this business brief in local language to find out how
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Gigamon
Published By: Pure Storage     Published Date: Oct 09, 2017
Cloud computing and all-flash storage are two of the most important innovations driving next-generation IT initiatives. While it may seem at first that these are parallel trends, in reality they are inextricably intertwined. Without the benefits of all-flash storage —driving new levels of performance, agility and management simplicity — enterprises would not be able to modernize their infrastructures to deliver cloud services. It is no coincidence that the largest hyperscale cloud providers rely on all-flash storage solutions as their storage foundation. Pure Storage all-flash storage arrays provide enterprise customers with a safe, secure and smooth path to the all-flash cloud. You can take the journey in stages, starting small with a single application or two, and then adding more applications through consolidation and virtualization. You can also implement multiple stages at once.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Pure Storage
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