information architecture

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Published By: DATAVERSITY     Published Date: Nov 11, 2013
This report investigates the level of Information Architecture (IA) implementation and usage at the enterprise level. The primary support for the report is an analysis of a 2013 DATAVERSITY™ survey on Data and Information Architecture. This paper is sponsored by: HP, Vertica, Denodo, Embarcadero and CA Technologies.
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information architecture, data architecture, white paper, mdm, master data management, data, data management, enterprise information management, enterprise data management, data virtualization, metadata, data modeling, research paper, survey, data integration
    
DATAVERSITY
Published By: Embarcadero     Published Date: Jul 23, 2015
Whether you’re working with relational data, schema-less (NoSQL) data, or model metadata, you need a data architecture that can actively leverage information assets for business value. The most valuable data has high quality, business context, and visibility across the organization. Check out this must-read eBook for essential insights on important data architecture topics.
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Embarcadero
Published By: Ted Hills     Published Date: Mar 29, 2016
NoSQL database management systems give us the opportunity to store our data according to more than one data storage model, but our entity-relationship data modeling notations are stuck in SQL land. Is there any need to model schema-less databases, and is it even possible? In this short white paper, Ted Hills examines these questions in light of a recent paper from MarkLogic on the hybrid data model. Ted Hills has been active in the Information Technology industry since 1975. At LexisNexis, Ted co-leads the work of establishing enterprise data architecture standards and governance processes, working with data models and business and data definitions for both structured and unstructured data. His book, NoSQL and SQL Data Modeling, was recently released by Technics Publications (http://technicspub.com).
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Ted Hills
Published By: Google     Published Date: Dec 03, 2018
The Internet of Things is growing fast: By 2025, IoT devices will transmit an estimated 90 zettabytes of data to their intended targets, according to IDC. Armed with information, businesses can revolutionise everything from fraud detection to customer service. But first, they need an architecture that supports real-time analytics so they can gain actionable insights from their IoT data. Read the complete report sponsored by Google Cloud, and learn how to mitigate key IoT-related challenges.
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Google
Published By: Pure Storage     Published Date: Dec 05, 2018
"Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning—especially deep neural networks—make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks. Dive into machine learning concepts in general, as well as deep learning in particular Understand how deep networks evolved from neural network fundamentals Explore the major deep network architectures, including Convolutional and Recurrent Learn how to map specific deep networks to the right problem Walk through the fundamentals of tuning general neural networks and specific deep network architectures"
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Pure Storage
Published By: SAS     Published Date: Jan 17, 2018
The Industrial Internet of Things (IIoT) is flooding today’s industrial sector with data. Information is streaming in from many sources — equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights.
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SAS
Published By: Preempt     Published Date: Nov 02, 2018
In our 2018 Trends in Information Security report, we outlined a concept we referred to as the ‘identity-aware perimeter.’ The essential idea is that as new architectures such as cloud, containers, mobility and IoT take hold, controlling access to resources will increasingly need to rely on identity as an alternative to purely network-based approaches focused more on ‘where’ you are than ‘who’ you are. By combining identity with user and entity behavior and risk scoring to gate access, Preempt fits squarely within this trend, which we think could be one of the most interesting and powerful to hit the infosec market in years. Preempt has few direct competitors, and its initial challenge will be finding ways to distinguish itself from vendors in adjacent categories such as adaptive multi-factor authentication (MFA), advanced threat protection, user and entity behavior analytics (UEBA) and cloud access security brokers (CASB), to name a few. Forging a new security category is never easy,
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Preempt
Published By: Fortinet EMEA     Published Date: Nov 26, 2018
Enterprise chief information security officers (CISOs) are seeking ways to leverage existing security investments to bridge the divide between largely siloed security systems. The focus is on reducing the number of consoles needed to manage the security infrastructure. Network security vendors have a significant role to play in bridging the communication gap between these systems. The creation of a unified defense architecture enables threat data exchange between existing security systems. It helps automate the process of raising an organization's security posture when a security infrastructure component detects a threat. The following questions were posed by Fortinet to Robert Ayoub, program director in IDC's Security Products program, on behalf of Fortinet's customers.
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Fortinet EMEA
Published By: NetApp     Published Date: Dec 05, 2016
This architectural comparison includes general information about the Pure Storage architecture as it compares to SolidFire.
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NetApp
Published By: SolidFire_NetApp     Published Date: May 10, 2016
This document includes general information about the Pure Storage architecture as it compares to SolidFire. Not intended to be exhaustive, it covers architectural elements where the solutions differ and impact overall suitability for the needs of the Next Generation Data Center (NGDC).
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data management, business practices, data center. data application, enterprise applications, business intelligence, data center
    
SolidFire_NetApp
Published By: IBM     Published Date: Sep 22, 2011
This white paper highlights the performance and scalability potential of InfoSphere DataStage 8.1 based on a benchmark test simulating a data warehouse scenario. The benchmark is designed to use the profiled situation to provide insight about how InfoSphere DataStage addresses key questions customers frequently ask when designing their information integration architecture.
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ibm, infosphere, data performance and scalability, customers, datastage, data quality
    
IBM
Published By: Google     Published Date: Oct 26, 2018
The Internet of Things is growing fast: By 2025, IoT devices will transmit an estimated 90 zettabytes of data to their intended targets, according to IDC. Armed with information, businesses can revolutionise everything from fraud detection to customer service. But first, they need an architecture that supports real-time analytics so they can gain actionable insights from their IoT data. Read the complete report sponsored by Google Cloud, and learn how to mitigate key IoT-related challenges.
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Google
Published By: Teradata     Published Date: May 02, 2017
A Great Use of the Cloud: Recent trends in information management see companies shifting their focus to, or entertaining a notion for the first time of a cloud-based solution. In the past, the only clear choice for most organizations has been on-premises data—oftentimes using an appliance-based platform. However, the costs of scale are gnawing away at the notion that this remains the best approach for all or some of a company’s analytical needs. This paper, written by McKnight Consulting analysts William McKnight and Jake Dolezal, describes two organizations with mature enterprise data warehouse capabilities, that have pivoted components of their architecture to accommodate the cloud.
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data projects, data volume, business data, cloud security, data storage, data management, cloud privacy, encryption, security integration
    
Teradata
Published By: CA WA     Published Date: May 12, 2008
Emerging information technologies like composite and multi-tier applications, service oriented architectures (SOA), virtualization, grid and cluster computing, and Web Service-based application delivery create an extraordinary opportunity for IT managers. With these dynamic technologies, they can provide business owners with IT services that are extremely flexible and agile, driving a more dynamic and competitive business.
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ca wa, workload automation, roi
    
CA WA
Published By: Systemware     Published Date: Sep 07, 2018
Five key trends are shaping the enterprise content management (ECM) space. New business objectives, new market imperatives, and new cloud-based platforms compel technology and business decision makers to take a fresh look at their strategy and underlying platforms. This report will help enterprise architecture (EA) professionals make informed decisions about their content management agenda.
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systemware, content management, digital transformation, content cloud, top key trends, intelligent information, data storage, enterprise content management, it management, content services, enterprise architecture
    
Systemware
Published By: Systemware     Published Date: Sep 07, 2018
How’s your digital transformation going? What processes are you focusing on? Who’s leading the transformation? What technologies are a priority? What challenges do you face? To answer these questions, tap into the Forrester Data Global Business Technographics® Business And Technology Services Survey of your peers. Digital business pros should open this infographic to see the state of digital transformation.
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systemware, content management, digital transformation, content cloud, top key trends, intelligent information, data storage, enterprise content management, it management, content services, enterprise architecture
    
Systemware
Published By: StreamSets     Published Date: Dec 05, 2018
Enterprise analytics is quickly evolving into a democratized capability where anyone can access and act on all available information, often in real-time employing advanced techniques. But the complex, dynamic and urgent nature of modern data analytics demands a new approach to data integration. This paper proposes that DataOps, the application of DevOps practices to data analytics, is the best way to overcome these challenges to create an iterative build-operate process for data movement. Read this white paper to: Understand how modern data analytics create data integration challenges due to architectural complexity, operational blindness and data drift. Learn how DevOps pillars of automation and monitoring can create higher developer productivity, operational efficiency and business confidence in data. See specific examples of DataOps functionality being applied to data integration across modern architectures.
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StreamSets
Published By: Websense     Published Date: Oct 18, 2010
Data Loss Prevention (DLP) solutions are moving targets. They keep changing to meet evolving regulatory requirements and business needs. It's tough to select the best DLP solution. This white paper from leading information security research firm Securosis gives you an overview of the DLP industry, technologies, and architectures.
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websense, dlp, data loss prevention, securosis, security, data management, testing, database security
    
Websense
Published By: HP - Enterprise     Published Date: Oct 16, 2008
If your company stores or processes credit card information, you must be able to demonstrate compliance with the Payment Card Industry (PCI) Data Security Standards (DSS). These standards include requirements for security management, policies, procedures, network architecture, design, and other critical protective measures. They also include one very prescriptive requirement:  Section 6.6 mandates that organizations secure all Web applications by conducting a code review or installing an application layer firewall. Companies have had a very difficult time passing the other parts of Section 6 and they have experienced a rising number of data breaches. Unless companies take 6.6 seriously, PCI compliance failure rates, and data breaches, will continue to grow.  Read this whitepaper to gain an overview of best practices to pass Section 6.6 and an understanding of the technology available to you.
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business risk, security, application security, audit, risk, vulnerabilities, fortify, fortify software, hackers, cyber threats, application security standards, threats, assessment, remediation, pci, compliance, payment card industry, data security standards, data management
    
HP - Enterprise
Published By: Teradata     Published Date: Feb 26, 2013
Data is now available, often in endless amounts, from many rich sources. This article discusses the answers to how organizations can thrive in this era of rich and boundless information using a Unified Data Architecture platform.
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gaining value from emerging data, nothing more than just the next step, data mining, unified data architecture platform, social media, mobile devices, it management, data center
    
Teradata
Published By: Ciena     Published Date: Nov 15, 2016
"In healthcare, as the trends supporting eHealth accelerate, the need for scalable, reliable, and secure network infrastructures will only grow. This white paper describes the key factors and technologies to consider when building a private network for healthcare sector enterprises, including: Transport Network Equipment Outside Fiber Plant Converged Platforms Reliability, Redundancy, and Protection Reconfigurable Networks Management Software Security Services, Operation, Program Management, and Maintenance Download our white paper to learn more."
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packet networking, packet networking portfolio, packet optical hie network, packet-optical transport, patient data security, private and hybrid cloud, private optical network for healthcare, private optical network for hospitals, rapidly growing bandwidth, real-time telesurgery video and data, remote imaging and diagnosis, simplify healthcare network operations, telehealth and telemedicine, telesurgery and video diagnosis, transfer massive imaging files, transmitting full-body mri images, transmitting genome data, transport network equipment, value-based care models, wan and lan convergence reduces
    
Ciena
    
Ciena
    
Ciena
Published By: CA Technologies EMEA     Published Date: May 23, 2018
Increasingly, enterprises are opening their data and applications to partners, developers, mobile apps and cloud services. APIs provide a standardized way to open up information assets across the web, mobile devices, serviceoriented architecture (SOA) and the cloud. However, to make API information sharing safe, reliable and cost-effective, enterprises must deal with critical security, performance management and data adaptation challenges. CA API Management combines advanced functionality for back-end integration, mobile optimization, cloud orchestration and developer management. It is unique in its ability to address the full breadth of enterprise API management challenges.
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CA Technologies EMEA
Published By: McAfee     Published Date: Mar 08, 2013
Protect sensitive information in emerging computing models such as virtualized environments. Learn how to leverage the same security architecture to provide more effective and more efficient data security across dedicated database servers as well.
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database security, virtual database environments, database virtualization, database activity monitoring, vm to vm transactions, virtual machines, virtual appliance, distributed database monitoring, memory based sensors, virtualization, cloud computing
    
McAfee
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