technology architecture

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By: Aerohive     Published Date: Jun 15, 2015
Ce document apporte des conseils permettant d’évaluer les réseaux Wi-Fi d’entreprise grâce à l’étude des exigences clés, des considérations de l’architecture, des 10 éléments inhérents à un réseau Wi-Fi et de l’utilisation du processus DDP pour sélectionner un fournisseur.
Tags : wi-fi, wlan, wlan networks, networks, technology, wlan architectures, wlan traffic, enterprise wlan networks, evaluate enterprise wlan networks
     Aerohive
By: Aerohive     Published Date: Jun 15, 2015
Dieses Dokument enthält Ratschläge für die Bewertung eines WiFi-Netzes im Unternehmen und analysiert die wichtigsten Anforderungen, architekturbezogene Erwägungen, 10 Sachen, die ein WiFi-Netz imstande zu tun sein muss, und benutzt das RFP Verfahren, um einen Zulieferer auszuwählen.
Tags : wi-fi, wlan, wlan networks, networks, technology, wlan architectures, wlan traffic, enterprise wlan networks, evaluate enterprise wlan networks
     Aerohive
By: Aerohive     Published Date: Jun 01, 2015
This guide reveals how to evaluate enterprise WiFi Network.
Tags : wi-fi, wlan, wlan networks, networks, technology, wlan architectures, wlan traffic, enterprise wlan networks, evaluate enterprise wlan networks
     Aerohive
By: Teradata     Published Date: Jan 30, 2015
This report is about two of those architectures: Apache™ Hadoop® YARN and Teradata® Aster® Seamless Network Analytical Processing (SNAP) Framework™. In the report, each architecture is described; the use of each in a business problem is illustrated; and the results are compared.
Tags : teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges, technology, aster, snap, framework, apache, hadoop, yarn, architectures, data management
     Teradata
By: Teradata     Published Date: Jan 30, 2015
It is hard for data and IT architects to understand what workloads should move, how to coordinate data movement and processing between systems, and how to integrate those systems to provide a broader and more flexible data platform. To better understand these topics, it is helpful to first understand what Hadoop and data warehouses were designed for and what uses were not originally intended as part of the design.
Tags : teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges, technology, framework, apache, hadoop, architecture, warehouse, optimization, security, scalability, consistency, flexibility, data management
     Teradata
By: Netsuite DWASF Leads Display Q1 2015     Published Date: Jan 30, 2015
As the pace of innovation accelerates, many companies find it challenging for their IT to support the changing needs of the business. To maintain relevance and drive growth, companies must innovate – and need flexible, agile technology to support them. The pressure is on IT to lower cost, and at the same time support growth. This white paper explores the challenges facing IT and how to evolve an IT architecture to support the modern business, and presents new strategies to modernize IT.
Tags : cloud erp, evolving business needs, innovation, it architecture, modernize it, it management
     Netsuite DWASF Leads Display Q1 2015
By: Panasas     Published Date: Oct 02, 2014
HPC and technical computing environments require the collection, storage,and transmission of large-scale datasets. To meet these demands, datacenter architects must consider how increasing storage capacity over time will affect HPC workloads, performance, and system availability. While many enterprises have looked to scale-up NAS to meet their storage needs, this approach can lead to data islands that make it difficult to share data. Distributed, scale-out storage was developed to get around the technology limitations of scale-up NAS architectures.
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     Panasas
By: SAP     Published Date: May 18, 2014
From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: SAP     Published Date: May 18, 2014
Download this whitepaper to learn the results of this latest exploration of the emerging world of in-memory database technologies.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: SAP     Published Date: May 18, 2014
This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: SAP     Published Date: May 18, 2014
For years, experienced data warehousing (DW) consultants and analysts have advocated the need for a well thought-out architecture for designing and implementing large-scale DW environments. Since the creation of these DW architectures, there have been many technological advances making implementation faster, more scalable and better performing. This whitepaper explores these new advances and discusses how they have affected the development of DW environments.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: SAP     Published Date: May 18, 2014
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: SAP     Published Date: May 18, 2014
Big data and personal data are converging to shape the internet’s most surprising consumer products. they’ll predict your needs and store your memories—if you let them. Download this report to learn more.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: SAP     Published Date: May 18, 2014
This white paper discusses the issues involved in the traditional practice of deploying transactional and analytic applications on separate platforms using separate databases. It analyzes the results from a user survey, conducted on SAP's behalf by IDC, that explores these issues.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: SAP     Published Date: May 18, 2014
The technology market is giving significant attention to Big Data and analytics as a way to provide insight for decision making support; but how far along is the adoption of these technologies across manufacturing organizations? During a February 2013 survey of over 100 manufacturers we examined behaviors of organizations that measure effective decision making as part of their enterprise performance management efforts. This Analyst Insight paper reveals the results of this survey.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools, it management
     SAP
By: SAP     Published Date: May 18, 2014
This paper explores the results of a survey, fielded in April 2013, of 304 data managers and professionals, conducted by Unisphere Research, a division of Information Today Inc. It revealed a range of practical approaches that organizations of all types and sizes are adopting to manage and capitalize on the big data flowing through their enterprises.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: SAP     Published Date: May 18, 2014
In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: SAP     Published Date: May 18, 2014
Over the course of several months in 2011, IDC conducted a research study to identify the opportunities and challenges to adoption of a new technology that changes the way in which traditional business solutions are implemented and used. The results of the study are presented in this white paper.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: SAP     Published Date: May 18, 2014
Forrester conducted in-depth surveys with 330 global BI decision-makers and found strong correlations between overall company success and adoption of innovative BI, analytics, and big data tools. In this paper, you will learn what separates the leading companies from the rest when it comes to exploiting innovative technologies in BI and analytics, and what steps you can take to either stay a leader or join their ranks.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: SAP     Published Date: May 18, 2014
This white paper, produced in collaboration with SAP, provides insight into executive perception of real-time business operations in North America. It is a companion paper to Real-time Business: Playing to win in the new global marketplace, published in May 2011, and to a series of papers on real-time business in Europe, Asia-Pacific and Latin America.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: SAP     Published Date: May 18, 2014
Leading companies and technology providers are rethinking the fundamental model of analytics, and the contours of a new paradigm are emerging. The new generation of analytics goes beyond Big Data (information that is too large and complex to manipulate without robust software), and the traditional narrow approach of analytics which was restricted to analysing customer and financial data collected from their interactions on social media. Today companies are embracing the social revolution, using real-time technologies to unlock deep insights about customers and others and enable better-informed decisions and richer collaboration in real-time.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: IBM     Published Date: Mar 13, 2014
The design principles of SOA make it possible for you to develop new engagements in a way that optimizes value for your organization. IBM provides a strong application foundation and business agility technologies that help you to become a truly engaging enterprise.
Tags : ibm, business technology, service oriented architecture, extend, transact, optimize, applications, scale, speed, business operations, integration, customer enagement, it management
     IBM
By: Progress Software     Published Date: Mar 12, 2014
This report enumerates the Top 10 technology trends that are reshaping the nature and value proposition of business applications today and in the future.
Tags : progress software, technology trends, forrester, business application, enterprise architects, cloud deployment, user experience, real time analytics, compenentization, app platforms, value proposition, it management, platforms, data center
     Progress Software
By: IBM     Published Date: Mar 05, 2014
If you specialize in relational database management technology, you’ve probably heard a lot about “big data” and the open source Apache Hadoop project. Perhaps you’ve also heard about IBM’s new Big SQL technology, which enables IBM® InfoSphere® BigInsights™ users to query Hadoop data using industry-standard SQL. Curious? This paper introduces you to Big SQL, answering many of the common questions that relational database management system (DBMS) users have about this IBM technology.
Tags : ibm, big data, ibm big sql, sql, database management, database management technology, software, tables, queries, data platform, big sql architecture, programming language, relational database management system, rdbms
     IBM
By: Intacct Corporation     Published Date: Jan 02, 2014
Learn the 4 essential features to bring your accounting system out of the Stone Age. Modern businesses are, by their nature, complex. But if you're using an accounting system that forces you to struggle with manual processes—limiting your flexibility and draining your productivity—you might as well be stuck in the Stone Age. But there's great news! It's 2014, and there's never been a better time to make the move to a modern accounting system. What features should you look for? Download our new checklist, "Essential Features of a Modern Accounting System," to learn how the right accounting system can help you: • Automate financial processes and optimize workflows to fit your organization's business processes. • Access real-time data to drive business insight and improve decision making. • Lower IT costs and reduce technology risks with a best-in-class cloud architecture.
Tags : accounting, modernizing account system, automate financial processes, business processes, real-time data access, best-in-class cloud architecture
     Intacct Corporation
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