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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
By: Group M_IBM Q418     Published Date: Sep 10, 2018
Sophisticated banking requires sophisticated computing systems. But which systems offer the greatest chance for success? Many banks are discovering that the answer can be found within their on-premise data centers – the mainframe computer. Mainframes have become a modern platform for innovation. When operating in a hybrid cloud environment, mainframes provide cost flexibility, scalability, agility, sophistication and unmatched security. And they support innovation, business transformation and new types of monetization. The power of mainframe computing is being rediscovered. Specifically, in a recent 2017 survey of banking executives, we found that: • 50 percent said they believe hybrid cloud – and the systems that underpin it – can significantly lower the cost of IT ownership • 47 percent said they believe mainframe enabled hybrid cloud can improve operating margin • 47 percent said they believe dual-platform hybrid cloud can accelerate innovation. While innovation and improved p
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     Group M_IBM Q418
By: Dell PC Lifecycle     Published Date: Mar 09, 2018
Datenbankverarbeitung ist ein wichtiges Thema – in Bezug auf Ihr Unternehmen und in Bezug auf den schieren Umfang der Vorgänge. Unsere Tests mit dem Dell EMC PowerEdge R930 Server und dem Unity 400F All-Flash-Speicherarray führten zu dem Ergebnis, dass die Leistung des Systems bei OLTP Workloads mit einem HPE ProLiant DL380 Gen9-Server mit 3PAR-Array vergleichbar ist, sich aber durch ein besseres Komprimierungsverhältnis auszeichnet (3,2:1 gegenüber 1,3:1). Ladevorgänge mit großen Datenmengen beendete das Dell EMC Unity 22 Prozent schneller als das HPE 3PAR. Dies kann weniger Aufwand für einen mit Data Marts betrauten Administrator bedeuten. Bei paralleler Ausführung von OLTP- und Data-Mart-Workloads übertraf das Unity-Array das HPE 3PAR im Hinblick auf verarbeitete Aufträge pro Minute um 29 Prozent.
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     Dell PC Lifecycle
By: Dell Server     Published Date: Aug 08, 2018
PowerEdge servers protect your customers and business with integrated security Analysts say attacks on firmware are becoming a greater threat to systems, making a cyber-resilient server architecture essential to the modern data center. Dell EMC PowerEdge servers, powered by Intel® Xeon® Scalable processors, deliver comprehensive management tools and robust layers of security to protect hardware and firmware throughout the server lifecycle.
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     Dell Server
By: Group M_IBM Q2'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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     Group M_IBM Q2'19
By: Intel     Published Date: Apr 11, 2019
Intel teamed up with Philips to show that servers powered by Intel® Xeon® Scalable processors could be used to efficiently perform deep learning inference on patients’ X-rays and computed tomography (CT) scans, without the need for accelerators. The ultimate goal for Philips is to offer artificial intelligence (AI) to its end customers without significantly increasing the cost of the customers’ systems and without requiring modifications to the hardware deployed in the field.
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     Intel
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