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Published By: Hewlett Packard Enterprise     Published Date: May 11, 2018
Wie die meisten Unternehmen werden auch Sie vermutlich mit der Datenspeicherung zu kämpfen haben. In einer jährlichen Umfrage von Frost & Sullivan unter IT-Entscheidungsträgern wurde das Speicherwachstum als eine der größten Herausforderungen der letzten fünf Jahre für das Rechenzentrum genannt.2Da Unternehmen exponentiell mehr Daten als je zuvor sammeln, replizieren und speichern, ist schon der einfache Erwerb ausreichender Speicherkapazitäten ein Problem. Hinzu kommt nicht zuletzt, dass Unternehmen von ihren gespeicherten Daten mehr erwarten. Daten werden mittlerweile als kostbares Firmenkapital und Möglichkeit gesehen, sich von den Wettbewerbern zu differenzieren: Sie sollen neue Geschäftsmodelle, neue Umsatzchancen, bessere Informationen, optimierte Betriebsabläufe und niedrigere Kosten bringen. Angesagte Trends wie das Internet der Dinge und Big Data-Analysen generieren so schnell neue Marktchancen, dass IT-Organisationen kaum noch Schritt halten können.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: May 10, 2019
Unternehmen in jedem Sektor hängen zunehmend von Anwendungen ab, die alles vom BackEnd-Betrieb bis zur Bereitstellung neuer Produkte, Services und Kundenerlebnisse steuern. Aus diesem Grund sind die Systemverfügbarkeit der Infrastruktur und die Vermeidung ungeplanter Ausfallzeiten wichtiger denn je. Aktuelle Studien zeigen, dass die durchschnittlichen Kosten für eine Stunde Ausfallzeit etwa eine halbe Million US-Dollar betragen1 – mit steigender Tendenz angesichts der zunehmenden Digitalisierung in allen Branchen. Über viel zu lange Zeit konnte höchste Speicherverfügbarkeit nur durch teure On-Site-Serviceverträge mit stark redundanten Hardwaremodellen erreicht werden. Seit seiner Gründung hat Nimble, ein Unternehmen von Hewlett Packard Enterprise, das ehrgeizige Ziel verfolgt, die ausgetretenen Pfade zu verlassen und nicht nur für höhere Verfügbarkeit seiner Produkte zu sorgen, sondern sie auch im Laufe der Zeit ständig zu verbessern.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: May 10, 2019
Die Leistung von Unternehmensanwendungen hat unmittelbaren Einfluss auf die geschäftlichen Aktivitäten und Ergebnisse. Die Qualität der Anwendungsbereitstellung hängt davon ab, wie reibungslos die zugrunde liegende Dateninfrastruktur betrieben werden kann. Die optimale Anwendungsleistung und -bereitstellung lässt sich in komplexen Umgebungen nur schwer erreichen. Viele IT-Infrastruktur- und Betriebsteams haben ihre Belastungsgrenze bereits erreicht. Vorausschauende Analysen und maschinelles Lernen können in diesem Zusammenhang viel bewirken
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: May 10, 2019
Anwendungen sind die treibende Kraft bei den Abläufen im digitalen Unternehmen von heute. Wenn die Verwaltung der Infrastruktur hinter diesen Anwendungen Probleme bereitet oder sogar unmöglich ist, hat dies gravierende Aus? wirkungen auf die Unternehmen und deren IT?Abteilungen. Bisher hat die IT?Abteilung einen großen Teil der Verant? wortung für Verfügbarkeit und Leistung übernommen. Im digitalen Zeitalter muss die Branche jedoch die Anforderun? gen an die Anbieter weiterentwickeln und neu definieren.
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Hewlett Packard Enterprise
Published 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.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published 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.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published 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.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published 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.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published 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.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published 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.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published 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.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published 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.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published 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.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published 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.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published 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.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published 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.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published 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.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published 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.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: Uberflip     Published Date: Jan 03, 2019
No matter what industry you’re in or role you have, we all share a universal interest in trends. As marketers, we look to Google Trends to understand what keywords and search terms are most popular; we look for trending hashtags and conversations on social to inform the content we put out; and we put “Trends” sessions on our agendas at conferences because we know they’ll draw an audience. We’ve tapped into this almost universal desire to understand what the masses are doing.
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Uberflip
Published By: Workplace by Facebook     Published Date: Dec 21, 2018
We believe people change organizations. So, we built Workplace by Facebook to empower them. Our mission is to unlock human potential by giving the world a place to work together. We do it by combining next-generation technology and easy-to use features to transform communications, culture, and workflows inside organizations of all shapes, sizes, and industries. Industries like retail. In this playbook, we’ll explore the new consumer expectations shaping the future of retail in EMEA. You’ll discover why great brand experiences for your customers start with great work experiences for your employees. Download this whitepaper now to learn more about the benefits of customer-centric collaboration tools like Workplace by Facebook. Then you’ll be ready to take the next step on your digital transformation journey.
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Workplace by Facebook
Published By: Workplace by Facebook     Published Date: Dec 21, 2018
We believe people change organizations. So, we built Workplace by Facebook to empower them. Our mission is to unlock human potential by giving the world a place to work together. We do it by combining next-generation technology and easy-to use features to transform communications, culture, and workflows inside organizations of all shapes, sizes, and industries. Industries like retail. In this playbook, we’ll explore the new consumer expectations shaping the future of retail globally. You’ll discover why great brand experiences for your customers start with great work experiences for your employees. Download this whitepaper now to learn more about the benefits of customer-centric collaboration tools like Workplace by Facebook. Then you’ll be ready to take the next step on your digital transformation journey.
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Workplace by Facebook
Published By: Workplace by Facebook     Published Date: Dec 21, 2018
We believe people change organizations. So we built Workplace by Facbook to empower them. Our mission is to unlock human potential by giving the world a place to work together. We do it by combining next-generation technology and easy-to use features to transform communications, culture, and workflows inside organizations of all shapes, sizes, and industries. Industries like retail. In this playbook, we’ll explore the new consumer expectations shaping the future of retail in APAC. You’ll discover why great brand experiences for your customers start with great work experiences for your employees. ?Download this whitepaper now to learn more about the benefits of customer-centric collaboration tools like Workplace by Facebook. Then you’ll be ready to take the next step on your digital transformation journey.
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Workplace by Facebook
Published By: Veritas     Published Date: Sep 30, 2016
This paper summarizes the trends that have made modernizing backup and recovery an urgent priority, the key requirements for solution offerings, and the unique capabilities of Veritas NetBackup™ Appliances in delivering a simple, complete, and cost-effective solution.
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Veritas
Published By: Veritas     Published Date: Sep 30, 2016
This paper provides a structured approach to assessing the advantages of the appliance model. It summarizes the trends that have made modernizing backup and recovery an urgent priority, the key requirements for solution offerings, and the unique capabilities of Veritas NetBackup™ Appliances in delivering a simple, complete, and cost-effective solution.
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Veritas
Published By: Veritas     Published Date: Oct 03, 2016
Dieses Whitepaper fasst zusammen, warum Backup- und Wiederherstellungslösungen dringend modernisiert werden müssen und beschreibt wichtige Anforderungen an mögliche Lösungen sowie den einzigartigen Funktionsumfang der Veritas NetBackup™-Appliances für eine einfache, vollständige und kostengünstige Lösung.
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Veritas
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