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analytics server

Results 26 - 43 of 43Sort Results By: Published Date | Title | Company Name
Published By: AWS     Published Date: Oct 30, 2018
Enhance the Availability & Performance of SAP HANA Apps Abstract: SAP HANA delivers powerful analytics capabilities that can help you improve business performance and drive digital transformation. You can more easily build reliable and performant SAP HANA-powered landscapes with SUSE Linux Enterprise Server for SAP Applications and Amazon Web Services (AWS). That’s because SUSE can help you achieve near zero downtime and sustain high-performance levels, while AWS delivers a broad and deep set of cloud services that are certified to fulfill the compute, memory, and storage requirements of SAP HANA.
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availability, performance, sap, hana, apps
    
AWS
Published By: IBM     Published Date: Feb 02, 2009
A comprehensive solution for leveraging data in today's financial industry. Most organizations realize that the key to success lies in how well they manage data—and the banking industry is no exception. From customer statistics to strategic plans to employee communications, financial institutions are constantly juggling endless types of information.
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ibm, information management software, leveraging data, dynamic warehousing, data management, improve customer service, real-time risk analysis, analytics capabilities
    
IBM
Published By: IBM     Published Date: Jul 10, 2009
With the economy in constant fluctuation, this white paper is especially timely. “Enhancing your infrastructure in an uncertain economy to support your SOA business initiatives” defines the challenges facing IT executives, and outlines actions they can take now to cut costs, increase productivity and get more out of existing IT investments.
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soa, ibm, cost cutting, service oriented architecture, roi, return on investment, plug and play, real time data
    
IBM
Published By: IBM     Published Date: Jul 05, 2012
IBM Cognos BI offers complete perspectives on business intelligence and analytics through a single, unified workspace. Read the white paper and see how Power Systems runs Cognos BI applications-on distributed or consolidated servers-for greater business value as well as improved availability, virtualization, performance and energy efficiency.
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ibm, technology, sap, sofrware, technology, migration factory, storage
    
IBM
Published By: CDW     Published Date: Aug 28, 2015
ACCELERATE, CONSOLIDATE, AND SIMPLIFY All-Flash Arrays (AFAs) are the preferred choice to accelerate high-performance OLTP and decision support/analytics applications on Oracle and Microsoft SQL Server databases. But not all AFAs are equal. Performance is just one dimension. XtremIO excels in all.
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storage, servers, cloud computing, architecture, convergence, infrastructure, data center design and management
    
CDW
Published By: AWS     Published Date: Nov 28, 2018
Financial institutions run on data: collecting it, analyzing it, delivering meaningful insights, and taking action in real time. As data volumes increase, organizations demand a scalable analytics platform that can meet the needs of data scientists and business users alike. However, managing an on-premises analytics environment for a large and diverse user base can become time-consuming, costly, and unwieldy. Tableau Server on Amazon Web Services (AWS) is helping major Financial Services organizations shift data visualization and analytics workloads to the cloud. The result is fewer hours spent on manual work and more time to ask deeper questions and launch new data analyses, with easily-scalable support for large numbers of users. In this webinar, you’ll hear how one major asset management company made the shift to cloud data visualization with Tableau Server on AWS. Discover lessons learned, best practices tailored to Financial Services organizations, and starting tactics for scalable analytics on the cloud.
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AWS
Published By: Cisco     Published Date: Jul 11, 2016
Today's datacenter networks must better adapt to and accommodate business-critical application workloads. Datacenters will have to increasingly adapt to virtualized workloads and to the ongoing enterprise transition to private and hybrid clouds. Pressure will mount on datacenters not only to provide increased bandwidth for 3rd Platform applications such as cloud and data analytics but also to deliver the agility and dynamism necessary to accommodate shifting traffic patterns (with more east-west traffic associated with server-to-server flows, as opposed to the traditional north-south traffic associated with client/server computing). Private cloud and legacy applications will also drive daunting bandwidth and connectivity requirements. This Technology Spotlight examines the increasing bandwidth requirements in enterprise datacenters, driven by both new and old application workloads, cloud and noncloud in nature. It also looks at how Cisco is meeting the bandwidth challenge posed by 3rd
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Cisco
Published By: IBM     Published Date: Oct 01, 2013
Two years ago Clabby Analytics wrote a report that evaluated Cisco’s Unified Computing System (UCS) and revealed shortcomings in the UCS design, stating that Cisco blade environments are “good enough” computing environment. Since then Cisco made improvements to their system design, but the blade market didn’t stand still waiting for them to catch up as IBM announced a new system design: the IBM Flex System. Continue on to this new assessment from Clabby Analytics that compares Cisco’s UCS blade server offering to IBM Flex System’s in a soup-to-nuts evaluation. Also find out how these two major players compare to the competitors in the blade marketplace.
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ibm, ibm flex system, computing system, blade, compute nodes, computing, storage, networking
    
IBM
Published By: IBM     Published Date: Jan 09, 2014
Two years ago Clabby Analytics wrote a report that evaluated Cisco’s Unified Computing System (UCS) and revealed shortcomings in the UCS design, stating that Cisco blade environments are “good enough” computing environment. Since then Cisco made improvements to their system design, but the blade market didn’t stand still waiting for them to catch up as IBM announced a new system design: the IBM Flex System. Continue on to this new assessment from Clabby Analytics that compares Cisco’s UCS blade server offering to IBM Flex System’s in a soup-to-nuts evaluation. Also find out how these two major players compare to the competitors in the blade marketplace.
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ucs blade server, system manager, cross system, system architecture, virtual machine, cisco, ibm flex system, clabby analytics
    
IBM
Published By: Cisco     Published Date: Dec 21, 2016
Self-service analytics implies that users design and develop their own reports and do their own data  analysis with minimal support by IT. Most recently, due to the availability of tools, such as those from Qlik,  Spotfire, and Tableau, self-service analytics has become immensely popular. Besides powerful analytical  and visualization capabilities, they all support functionality for accessing and integrating data sources.  With respect to this aspect of data integration four phases can be identified in the relatively short history  of self-service analytics. This whitepaper describes these four phases in detail and shows how the tools  Cisco Data Preparation (CDP) and Cisco Information Server (CIS) for data virtualization can strengthen and  enrich the self-service data integration capabilities of tools for reporting and analytics.  
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Cisco
Published By: Cisco     Published Date: Dec 21, 2016
Today's datacenter networks must better adapt to and accommodate business-critical application workloads. Datacenters will have to increasingly adapt to virtualized workloads and to the ongoing enterprise transition to private and hybrid clouds. Pressure will mount on datacenters not only to provide increased bandwidth for 3rd Platform applications such as cloud and data analytics but also to deliver the agility and dynamism necessary to accommodate shifting traffic patterns (with more east-west traffic associated with server-to-server flows, as opposed to the traditional north-south traffic associated with client/server computing). Private cloud and legacy applications will also drive daunting bandwidth and connectivity requirements. This Technology Spotlight examines the increasing bandwidth requirements in enterprise datacenters, driven by both new and old application workloads, cloud and noncloud in nature. It also looks at how Cisco is meeting the bandwidth challenge posed by 3rd
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Cisco
Published By: SAS     Published Date: Apr 25, 2017
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time. SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis. The heart and soul of SAS Visual Analytics is the SAS® LASR™ Analytic Server, which ca
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SAS
Published By: Intel Corporation     Published Date: Aug 25, 2014
Sponsored by: NEC and Intel® Xeon® processor Servers with the Intel® Xeon® processor E7 v2 family in a four-CPU configuration can deliver up to twice the processing performance, three times the memory capacity, and four times the I/O bandwidth of previous models. Together with their excellent transaction processing performance, these servers provide a high level of availability essential to enterprise systems via advanced RAS functions that guarantee the integrity of important data while also reducing costs and the frequency of server downtime. Intel, the Intel logo, Xeon, and Xeon Inside are trademarks or registered trademarks of Intel Corporation in the U.S. and/or other countries.
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enterprise systems, platform, datacenter, servers, virtualization, customer value, analytics, application owners
    
Intel Corporation
Published By: NEC     Published Date: Aug 12, 2014
NEC has introduced the Express5800/A2000 Series Servers to accommodate enterprise application demands with peak server reliability, availability, and serviceability. The new server architecture and NEC engineering functionality align well with many of the most important IT priorities in 2014, including virtualization, big data and advanced data analytics. With the Express5800/A2000 Servers, NEC has the opportunity to educate application owners and work with system integrators to drive awareness and ultimately investment in its new server platform, which will help drive customer value. In this white paper, you will learn how these next-generation servers from NEC are ready to accommodate some of today’s demanding workloads.
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servers, virtualization, customer value, analytics, application owners, system integrators, big data, reliability
    
NEC
Published By: VisiStat     Published Date: Mar 22, 2007
Old Log File analytics data was good – today's hosted on-demand Web analytics reporting is much better. What once was only understandable by IT personnel now has a place on the desktops of sales, marketing and business professionals. Read about the differences, and improvements, in analytics.
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web analytics, hosted analytics, hosted solution, snippet, page snippets, snippet technology, code snippets, code tag
    
VisiStat
Published By: IBM     Published Date: Nov 30, 2012
Read the Clabby Analytics research report to see how consolidating Linux servers on an IBM Systems z mainframe is more cost effective than deploying Linux on x86 servers. It could save you over a million dollars!
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ibm, linux cloud server, cloud server, server, cloud, virtualization, cloud computing, data center
    
IBM
Published By: IBM     Published Date: Jan 09, 2014
Today, large organizations are being buffeted by a host of changes, many of them unexpected or unfamiliar. Business information is virtually exploding in size, kind and locale, taxing the abilities of even the most progressive enterprises to keep up. Mobile technologies and business analytics that were once exclusively used by employees with specialized needs and skills are now common across the entire workforce. As a result of all this, IT is bending under the strain of developing and delivering necessary new services while at the same time maintaining core service quality. This report will consider these issues, as well as IBM’s position in and efforts around developing next generation enterprise systems solutions, including its System z mainframes, POWER7+ processor-based Power Systems servers and System Storage offerings focused on those areas and use cases.
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enterprise systems, system performance, power7+, power systems servers, system storage, it infrastructure, analytics solutions, business analytics
    
IBM
Published By: IBM     Published Date: Jul 05, 2018
Scalable data platforms such as Apache Hadoop offer unparalleled cost benefits and analytical opportunities. IBM helps fully leverage the scale and promise of Hadoop, enabling better results for critical projects and key analytics initiatives. The end-to- end information capabilities of IBM® Information Server let you better understand data and cleanse, monitor, transform and deliver it. IBM also helps bridge the gap between business and IT with improved collaboration. By using Information Server “flexible integration” capabilities, the information that drives business and strategic initiatives—from big data and point-of- impact analytics to master data management and data warehousing—is trusted, consistent and governed in real time. Since its inception, Information Server has been a massively parallel processing (MPP) platform able to support everything from small to very large data volumes to meet your requirements, regardless of complexity. Information Server can uniquely support th
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IBM
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