architecture

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Published By: Trillium Software     Published Date: Oct 26, 2015
Acting Quickly – Or Not at All The pace of business is accelerating. Enterprises must do more things, do them more quickly – and then adjust to market and competitive forces and do them differently. They must adapt in order to remain differentiated, and with that differentiation, hopefully build and sustain competitive advantage.
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Trillium Software
Published By: DATAVERSITY     Published Date: Oct 12, 2017
The foundation of this report is a survey conducted by DATAVERSITY® that included a range of different question types and topics on the current state of Data Architecture. The report evaluates the topic through a discussion and analysis of each presented survey question, as well as a deeper examination of the present and future trends.
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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: CA Technologies     Published Date: Dec 03, 2015
This 2nd paper in a 3-part series by David Loshin explores some challenges in bootstrapping a data governance program, and then considers key methods for using metadata to establish the starting point for data governance. The paper will focus on how metadata management facilitates progress along three facets of the data governance program including assessment, collaboration and operationalization.
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CA Technologies
Published By: MapR Technologies     Published Date: Mar 29, 2016
Add Big Data Technologies to Get More Value from Your Stack Taking advantage of big data starts with understanding how to optimize and augment your existing infrastructure. Relational databases have endured for a reason – they fit well with the types of data that organizations use to run their business. These types of data in business applications such as ERP, CRM, EPM, etc., are not fundamentally changing, which suggests that relational databases will continue to play a foundational role in enterprise architectures for the foreseeable future. One area where emerging technologies can complement relational database technologies is big data. With the rapidly growing volumes of data, along with the many new sources of data, organizations look for ways to relieve pressure from their existing systems. That’s where Hadoop and NoSQL come in.
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MapR Technologies
Published By: Information Asset, LLC     Published Date: Feb 11, 2014
An In-Depth Review of Data Governance Software Tools: Reference Architecture, Evaluation Criteria, and Vendor Landscape
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white paper, data governance, data, data management, data management white paper, data governance white paper
    
Information Asset, LLC
Published By: AnalytixDS     Published Date: Mar 21, 2017
AnalytiX DS Mapping Manager is an award winning platform that has enabled organizations worldwide to meet challenges, bring wide-spread collaboration, and put structure and governance in place, regardless of the size of their architecture, data, or user base. Scalable, adaptable, and value-added through its feature rich modules, it can make a difference as to whether you see BASEL III as a challenge or an opportunity.
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AnalytixDS
Published By: VoltDB     Published Date: Feb 12, 2016
The need for fast data applications is growing rapidly, driven by the IoT, the surge in machine-to-machine (M2M) data, global mobile device proliferation, and the monetization of SaaS platforms. So how do you combine real-time, streaming analytics with real-time decisions in an architecture that’s reliable, scalable, and simple? In this report, Ryan Betts and John Hugg from VoltDB examine ways to develop apps for fast data, using pre-defined patterns. These patterns are general enough to suit both the do-it-yourself, hybrid batch/streaming approach, as well as the simpler, proven in-memory approach available with certain fast database offerings.
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VoltDB
Published By: WhereScape     Published Date: Mar 16, 2016
Industry expert Wayne Eckerson provides an overview of the emerging data warehouse automation market and outlines the value of using automation tools for developing data warehouses, data marts, analytical environments and big data platforms. Eckerson details WhereScape’s architecture—which enables a data-driven approach to automation. Eckerson also discusses how agility and automation together encourage iterative development and closer collaboration between business and IT.
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WhereScape
Published By: FairCom     Published Date: May 25, 2016
As companies embrace NoSQL as the “next big thing,” they are rightly cautious of abandoning their investment in SQL. The question a responsible developer or IT manager must investigate is “in which cases are each of these technologies, SQL and NoSQL, the appropriate solution?” For example, cloud provider BigStep offered this assessment: “NoSQL is not the best model for OLTP, ad hoc queries, complicated relationships among the data, and situations when stability and reliability outweigh the importance of speed.” While that statement may be true of many NoSQL databases, c-treeACE is the exception. Its unique, No+SQL architecture offers the advantages of SQL on top of a robust, high-performance NoSQL core engine. In this white paper, you'll read five ways c-treeACE breaks the NoSQL mold in terms of: • Data Integrity • Availability and Reliability • Complex Data Relationships • Flexible Queries • Performance
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FairCom
Published By: CloverETL     Published Date: Nov 24, 2017
The volume of data is increasing by 40% per year (Source: IDC). In addition, the structure and quality of data differs vastly with a growing number of data sources. More agile ways of working with data are required. This whitepaper discusses the vast options available for managing and storing data using data architectures, and offers use cases for each architecture. Furthermore, the whitepaper explores the benefits, drawbacks and challenges of each data architecture and commonly used practices for building these architectures.
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CloverETL
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: SAP     Published Date: Jan 23, 2013
This paper examines the root causes of data centralization failure and then reviews straightforward best practices that can help avoid such failures but are typically ignored when systems are designed in an ad hoc, organic manner.
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data, data management, data governance, big data, cloud, business intelligence, semantic technology, nosql, information quality, data quality, metadata, enterprise information management, master data management, mdm, analytics, database
    
SAP
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: Cisco EMEA Tier 3 ABM     Published Date: May 15, 2018
Miercom è stata incaricata da Cisco Systems di configurare, far funzionare e quindi valutare in modo indipendente le infrastrutture di rete per campus wireless e cablate di Cisco Systems e Huawei Technologies. I prodotti di ciascun fornitore sono stati configurati e implementati rigorosamente secondo i progetti consigliati dai fornitori e utilizzando il loro rispettivo software per la gestione, il controllo, la configurazione e il monitoraggio della rete in tutto il campus.
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Cisco EMEA Tier 3 ABM
Published By: Juniper Networks     Published Date: May 04, 2018
The role of IT is changing from a traditional focus on cost-efficient enablement to a more strategic contribution. Total Cost of Ownership (TCO), while important, is being surpassed by a growing focus on automation and orchestration that is needed to fulfill enterprise demands for security, agility, and innovation. The cloud-grade enterprise network – spanning the campus, data center, and branch – must be able to respond to rapid changes in business, growing reliance on hybrid cloud architectures, and the needs of users and customers.
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Juniper Networks
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: Genesys     Published Date: Feb 26, 2018
A cloud contact center can offer many advantages in performance, scalability and security, compared to an on-premise contact center infrastructure. To maximize these advantages, it’s important to determine how best to leverage the cloud to meet your business’s specific needs.
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cloud, contact center, infrastructure, cloud contact center
    
Genesys
Published By: Genesys     Published Date: Feb 27, 2018
Everyone says they’re “in the cloud,” but most technology leaders would agree that not all clouds are created equal. When evaluating a cloud contact center solution for your business, it’s important to understand the difference between a true Cloud 2.0 application and traditional software, including which features to look for and why those features are important. Download this eBook and learn: • How a true Cloud 2.0 model is built to provide levels of reliability, scalability, flexibility and security that far exceed those of previous generations • The benefits of utilizing a platform built on microservices architecture • How to take your business to the next level with a built to scale cloud contact center platform
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cloud contact center, ebook, cloud 2.0 model, microservices architecture
    
Genesys
Published By: MarkLogic     Published Date: Mar 29, 2018
Executives, managers, and users will not trust data unless they understand where it came from. Enterprise metadata is the “data about data” that makes this trust possible. Unfortunately, many healthcare and life sciences organizations struggle to collect and manage metadata with their existing relational and column-family technology tools. MarkLogic’s multi-model architecture makes it easier to manage metadata, and build trust in the quality and lineage of enterprise data. Healthcare and life sciences companies are using MarkLogic’s smart metadata management capabilities to improve search and discovery, simplify regulatory compliance, deliver more accurate and reliable quality reports, and provide better customer service. This paper explains the essence and advantages of the MarkLogic approach.
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enterprise, metadata, management, organizations, technology, tools, mark logic
    
MarkLogic
Published By: NetApp     Published Date: Mar 06, 2018
The company’s recently unveiled HCI platform leverages SolidFire’s all-flash scale-out architecture and performance management capabilities to support enterprise environments. Will it help NetApp make up ground against its fast-growing rivals?
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: NetApp     Published Date: Mar 06, 2018
This Hyper Converged Infrastructure solution brief describes the key benefits of NetApp's next generation HCI solution including enterprise scale, efficient storage architecture, trustworthy data services, and IT operations transformation.
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: Dassault Systèmes     Published Date: May 09, 2018
Tight schedules, cost challenges and lack of visibility can strain relationships in the Architecture, Engineering and Construction (AEC) market. As new technologies raise owner expectations, you need to respond rapidly to customer needs with on-target solutions. You need to know how to anticipate and exceed owners’ expectations. You need to deliver on multiple fronts, including: • Be a partner not just a supplier: Owners are looking for irreplaceable partners who transparently deliver value. • Achieve more predictable outcomes: Partnerships build from developing plans, mitigating risks and delivering. • Deliver on time and on budget: Firms must meet expectations precisely and avoid costly waste and delays. • Be involved from day one: Owners now expect visibility and involvement across the project. • Deliver something unexpected: AEC firms need to deliver unique, surprising solutions. Download your targeted industry analysis to learn more.
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Dassault Systèmes
Published By: LogMeIn     Published Date: Feb 27, 2018
LogMeIn offers consistently reliable service to its Bold360 customers and is vigilant in efforts to provide services that are not only robust and scalable, but also secure. This document describes how we achieve reliable scalability and the measures taken by LogMeIn to protect Bold360 customer data.
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industry, network, service, operations, scalability, data, encryption
    
LogMeIn
Published By: Workday France     Published Date: Apr 30, 2018
Le changement n'est jamais facile, surtout lorsqu'il concerne les applications de gestion. Les responsables informatiques savent cependant que passer au cloud permet de gagner en efficacité et en rapidité et de réaliser d'importantes économies. Mais en quoi les applications Cloud sont-elles si différentes de celles conçues à partir d'une architecture traditionnelle ou hybride ? Consultez ce livre Blanc de CIO.com pour découvrir les différentes architectures cloud, la façon dont elles influencent les capacités et les performances des applications et ce que cela induit en terme de migration depuis les systèmes actuels.
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Workday France
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