data collection

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Published By: CommScope     Published Date: Apr 15, 2016
Multimode fiber (MMF) cabling is the workhorse media of local area network (LAN) backbones and data centers because it offers the lowest cost means of transporting high data rates for distances aligned with the needs of these environments. MMF has evolved from being optimized for multi-megabit per second transmission using light emitting diode (LED) light sources to being specialized to support multi-gigabit transmission using 850 nm vertical cavity surface emitting laser (VCSEL) sources. Channel capacity has been multiplied through the use of parallel transmission over multiple strands of fiber. These advances have increased multimode supported data rates by an astounding factor of 40,000 — from 10 Mb/s in the late 1980s to 100 Gb/s in 2010, with 400 Gb/s in development in 2015. Today, these extraordinary rates are created from collections of 25 Gb/s lanes carried on either four or sixteen strands of fiber in each direction
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CommScope
Published By: MobileIron     Published Date: May 07, 2018
This 10-point checklist outlines best practices for designing a security architecture that protects cloud data at the endpoint. Enterprise computing architectures have changed fundamentally in the last ten years, as employees consume an ever-growing collection of business cloud services through mobile apps. The traditional security approach of network perimeter and locked-down endpoints is not suitable for this app-to-cloud model of modern work.
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cloud, best, practices, endpoint, security, data
    
MobileIron
Published By: SAS     Published Date: Apr 04, 2018
This white paper, sponsored by SAS, examines the interplay between the challenges and opportunities afforded by the growing breadth of digital channels offered by financial institutions. Mobile wallets, real-time peer-to-peer (P2P), and digital account opening all require the right mix of security solutions, background analytics, and personnel to balance positive customer experience with robust fraud protection. JAVELIN independently produced this whitepaper and maintains complete independence in its data collection, findings, and analysis.
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SAS
Published By: Cisco EMEA Tier 3 ABM     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 Tier 3 ABM
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 APAC DWA Cloud Leads July 2017     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 APAC DWA Cloud Leads July 2017
Published By: Juniper APAC DWA Cloud Leads July 2017     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 APAC DWA Cloud Leads July 2017
Published By: Juniper APAC DWA Cloud Leads July 2017     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 APAC DWA Cloud Leads July 2017
Published By: Juniper APAC DWA Cloud Leads July 2017     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 APAC DWA Cloud Leads July 2017
Published By: Juniper APAC DWA Cloud Leads July 2017     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 APAC DWA Cloud Leads July 2017
Published By: Juniper APAC DWA Cloud Leads July 2017     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 APAC DWA Cloud Leads July 2017
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 APAC DWA Cloud Leads July 2017     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 APAC DWA Cloud Leads July 2017
Published By: Pure Storage Australia     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
    
Pure Storage Australia
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
Published By: Pure Storage     Published Date: Oct 09, 2017
Storing data is critical. Everyone stores data. Today, it’s all about how you use the data you’re storing and if you’re storing the right data. The right mix of data and the ability to analyze it against all data types is driving markets worldwide in what is known as digital transformation. Digital transformation requires storing, accessing, and analyzing all types of data as fast and efficiently as possible. The end goal is to derive insights and gain a competitive advantage by using those insights to move faster and deliver smarter products and services than your competition.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Pure Storage
Published By: IBM     Published Date: Apr 14, 2017
The growing need for organizations to treat information as an asset is making metadata management strategic, driving significant growth for metadata management solutions. We evaluate nine vendors to help data and analytics leaders find the solution that best suits the needs of their organization.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection, metadata, business meta data, market data
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
This video explores the four governance elements you must get right to take full advantage of the hybrid cloud while ensuring your data remains secure and trustworthy.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
IBM
Published By: Taleo     Published Date: Apr 11, 2011
Get insight on top performers, where they're coming from, strategies to build the next generation of leaders, and more.
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talent intelligence, taleo, workforce data, workforce development, data collection, talent insight, talent database
    
Taleo
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