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Published By: Hewlett Packard Enterprise     Published Date: Jan 30, 2020
"HPE positions the HPE ProLiant DL385 Gen10 for virtualization and memory intensive applications. This positioning aligns to where MI&S sees the greatest workload affinity for the DL385 Gen10 due to its extremely high-core count, memory capacity and memory bandwidth. While the HPE ProLiant DL385 Gen10 is well-positioned for virtualization and memory intensive applications, MI&S believes the opportunity for this server extends to other applications and workloads as well. IT organizations would be well served to consider this server for high performance computing (HPC) applications. The 128 PCIe lanes in the AMD EPYC processor enables a server that can be quickly provisioned to support many workloads and applications."
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Hewlett Packard Enterprise
Published By: IBM     Published Date: Aug 23, 2018
IBM Planning Analytics Local is the on-premises version of the planning solution built on the powerful, in-memory OLAP engine of IBM TM1. It automates your planning, budgeting and forecasting, and helps you link operational tactics with financial plans.
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IBM
Published By: Oracle     Published Date: Oct 20, 2017
On Thursday June 30th, we announced Oracle’s new cloud platform, including a new line of servers for cloud and scale-out applications: Oracle’s SPARC S7-2 and S7-2L servers. These servers are based on the breakthrough SPARC S7 processor and extend the outstanding features and capabilities of the SPARC T7 and M7 systems into scale-out form factors. With the combination of Oracle’s breakthrough Software in Silicon features and the efficiency of the SPARC S7 processor we can offer the most secure and economical enterprise clouds with the fastest infrastructure for data analytics. Here at Oracle we recognize our customers’ needs for increasing the security of their data, therefore we have taken security as one of the core values on the SPARC Servers. The new SPARC S7 processor leverages the revolutionary Security in Silicon features introduced on the SPARC T7 and M7 systems. Silicon Secured Memory is a unique hardware implementation that prevents unauthorized access to application data in
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Oracle
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
"End-to-End Security Increasing risks and cyber threats make IT security a high priority. Oracle’s SPARC S7, T7, and M7 Servers with always-on memory intrusion protection and comprehensive data encryption secure your data with no performance penalty. Security in silicon features and Oracle Solaris protect data in memory form unauthorized access and stop malware before it gets in."
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Oracle PaaS/IaaS/Hardware
Published By: Oracle CX     Published Date: Oct 20, 2017
On Thursday June 30th, we announced Oracle’s new cloud platform, including a new line of servers for cloud and scale-out applications: Oracle’s SPARC S7-2 and S7-2L servers. These servers are based on the breakthrough SPARC S7 processor and extend the outstanding features and capabilities of the SPARC T7 and M7 systems into scale-out form factors. With the combination of Oracle’s breakthrough Software in Silicon features and the efficiency of the SPARC S7 processor we can offer the most secure and economical enterprise clouds with the fastest infrastructure for data analytics. Here at Oracle we recognize our customers’ needs for increasing the security of their data, therefore we have taken security as one of the core values on the SPARC Servers. The new SPARC S7 processor leverages the revolutionary Security in Silicon features introduced on the SPARC T7 and M7 systems. Silicon Secured Memory is a unique hardware implementation that prevents unauthorized access to application data in
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Oracle CX
Published By: Nimble Storage     Published Date: Oct 28, 2013
Collaboration and email applications such as Microsoft SQL Server, Exchange, and SharePoint are critical for business productivity. But care needs to be taken in selecting the right infrastructure for hosting these applications. Download this technical overview and learn how VMware, Cisco, and Nimble Storage have developed a pre-validated reference architecture that delivers industry-leading performance, data protection, and management simplicity.
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nimble storage, data storage, backup, disaster recovery, flash memory, data protection, ssd, hybrid storage
    
Nimble Storage
Published By: Nimble Storage     Published Date: Oct 28, 2013
Get this 36-page technical report and learn how to deploy 1,000 virtual desktops using VMware View 5.1 with VMware vSphere 5, Cisco UCS, and a single 3U Nimble Storage array. This validated solution provides efficient infrastructure, adaptive performance, rapid provisioning, linear scalability, and dramatically simplified management.
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nimble storage, data storage, backup, disaster recovery, flash memory, data protection, ssd, hybrid storage
    
Nimble Storage
Published By: Oracle     Published Date: Oct 20, 2017
Oracle has just announced a new microprocessor, and the servers and engineered system that are powered by it. The SPARC M8 processor fits in the palm of your hand, but it contains the result of years of co-engineering of hardware and software together to run enterprise applications with unprecedented speed and security. The SPARC M8 chip contains 32 of today’s most powerful cores for running Oracle Database and Java applications. Benchmarking data shows that the performance of these cores reaches twice the performance of Intel’s x86 cores. This is the result of exhaustive work on designing smart execution units and threading architecture, and on balancing metrics such as core count, memory and IO bandwidth. It also required millions of hours in testing chip design and operating system software on real workloads for database and Java. Having faster cores means increasing application capability while keeping the core count and software investment under control. In other words, a boost
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Oracle
Published By: Oracle CX     Published Date: Oct 20, 2017
Oracle has just announced a new microprocessor, and the servers and engineered system that are powered by it. The SPARC M8 processor fits in the palm of your hand, but it contains the result of years of co-engineering of hardware and software together to run enterprise applications with unprecedented speed and security. The SPARC M8 chip contains 32 of today’s most powerful cores for running Oracle Database and Java applications. Benchmarking data shows that the performance of these cores reaches twice the performance of Intel’s x86 cores. This is the result of exhaustive work on designing smart execution units and threading architecture, and on balancing metrics such as core count, memory and IO bandwidth. It also required millions of hours in testing chip design and operating system software on real workloads for database and Java. Having faster cores means increasing application capability while keeping the core count and software investment under control. In other words, a boost
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Oracle CX
Published By: Intel     Published Date: Mar 24, 2020
Virtual machines carry out daily operations for communication carriers but do not fully optimize memory allocation. To address this issue, SoftBank harnessed Intel® technologies and gained up to 3x improvement in VM capacity. Explore how innovations like Intel® Optane™ DC persistent memory help: • Reduce data center space • Optimize cost and performance • Improve memory per server
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Intel
Published By: Intel     Published Date: Jun 07, 2017
In today's fast-paced business world, rapid, data-driven decisions are crucial to maintaining a competitive edge. This is especially important for Intel's supply chain, which spans order-taking, resource procurement, manufacturing, testing, and final delivery of product. Read on to find out more.
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data, supply chain, data platform, data-driven, digital transformation
    
Intel
Published By: IBM     Published Date: May 04, 2009
The latest servers from IBM have one thing in common - the new Intel Xeon 5500 series processors. This white paper will explain the benefits of the new processors, including speed and performance.
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ibm, express seller, virtualization, intel, xeon, processor, 5500, bladecenter
    
IBM
Published By: Oracle     Published Date: Mar 22, 2018
s your information technology (IT) organization pressured to get more work done with fewer people or on a constricted budget? Do you need to make IT a competitive asset rather than a cost center? Does your business struggle with slow software applications or data that's too often unavailable? If you answered "yes" to any of these questions, it's time to take a close look at Oracle Exadata, the world's fastest database machine exclusively designed to run Oracle Database. It is the first database machine optimized for data warehousing, online transaction processing (OLTP), and database consolidation workloads as well as in-memory databases and database as a service (DBaaS).
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Oracle
Published By: Oracle Corporation     Published Date: Mar 01, 2013
Access Oracle’s latest interactive e-book to understand how Oracle Exalytics in-memory technology innovations can now enable speed-of-thought analysis.
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oracle, oracle exalytics, analytics without limits, oracle’s latest interactive e-book, business technology
    
Oracle Corporation
Published By: Webroot Inc     Published Date: Aug 01, 2015
PassMark Software® conducted objective performance testing on eight (8) security software products, on Windows 8.1 (64-bit) during July and August 2015. This report presents our results and findings as a result of performance benchmark testing conducted for these endpoint security products. The aim of this benchmark was to compare the performance impact of Webroot’s SecureAnywhere Business Endpoint Protection product with seven (7) competitor products. Testing was performed on all products using 13 performance metrics, including: installation time, boot time, CPU Usage, Memory Usage, Browse Time and many others. Does your endpoint security measure up?
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endpoint performance, software security, endpoint security products, performance metrics, security
    
Webroot Inc
Published By: Webroot UK     Published Date: Sep 25, 2013
PassMark Software® conducted objective performance testing on eight (8) security software products, on Windows 7 Ultimate Edition (64-bit) during January 2014. This report presents our results and findings as a result of performance benchmark testing conducted for these endpoint security products. The aim of this benchmark was to compare the performance impact of Webroot’s SecureAnywhere Business Endpoint Protection product with seven (7) competitor products. Testing was performed on all products using thirteen (13) performance metrics. These performance metrics are as follows.
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webroot, passmark software, webroot security, endpoint protection, performance benchmark, testing, endpoint security, memory usage
    
Webroot UK
Published By: Internap     Published Date: Dec 02, 2014
NoSQL databases are now commonly used to provide a scalable system to store, retrieve and analyze large amounts of data. Most NoSQL databases are designed to automatically partition data and workloads across multiple servers to enable easier, more cost-effective expansion of data stores than the single server/scale up approach of traditional relational databases. Public cloud infrastructure should provide an effective host platform for NoSQL databases given its horizontal scalability, on-demand capacity, configuration flexibility and metered billing; however, the performance of virtualized public cloud services can suffer relative to bare-metal offerings in I/O intensive use cases. Benchmark tests comparing latency and throughput of operating a high-performance in-memory (flash-optimized), key value store NoSQL database on popular virtualized public cloud services and an automated bare-metal platform show performance advantages of bare-metal over virtualized public cloud, further quant
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internap, performance analysis, benchmarking, nosql, bare-metal, public cloud, infrastructure, on demand capacity
    
Internap
Published By: TriGeo Network Security     Published Date: Oct 03, 2008
It’s widely accepted that Security Information and Event Management (SIEM) systems are excellent tools for regulatory compliance, log management and analysis, trouble-shooting and forensic analysis. What’s surprising to many is that this technology can play a significant role in actively defending networks. This whitepaper explains precisely how real-time analysis, combined with in-memory correlation, and automated notification and remediation capabilities can provide unprecedented network visibility, security and control.
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trigeo whitepaper, siem, log management, security event management, automated remediation, active response, correlation, compliance
    
TriGeo Network Security
Published By: Epson     Published Date: Jan 10, 2019
Since the earliest days of the industry, insurance companies have faced a never-ending struggle: processing the voluminous amount of paperwork that underwriting, claims, and compliance require. But the days of enduring the burdens caused by mountains of paper can become a distant memory. By investing in new, proven methods of converting paper documents to readable digital formats, insurance organizations can fully automate document processing to accelerate workflows, minimize processing times and enable more efficient operations.
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Epson
Published By: Oracle     Published Date: Oct 20, 2017
With the growing size and importance of information stored in today’s databases, accessing and using the right information at the right time has become increasingly critical. Real-time access and analysis of operational data is key to making faster and better business decisions, providing enterprises with unique competitive advantages. Running analytics on operational data has been difficult because operational data is stored in row format, which is best for online transaction processing (OLTP) databases, while storing data in column format is much better for analytics processing. Therefore, companies normally have both an operational database with data in row format and a separate data warehouse with data in column format, which leads to reliance on “stale data” for business decisions. With Oracle’s Database In-Memory and Oracle servers based on the SPARC S7 and SPARC M7 processors companies can now store data in memory in both row and data formats, and run analytics on their operatio
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Oracle
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
"With the introduction of Oracle Database In-Memory and servers with the SPARC S7 and SPARC M7 processors Oracle delivers an architecture where analytics are run on live operational databases and not on data subsets in data warehouses. Decision-making is much faster and more accurate because the data is not a stale subset. And for those moving enterprise applications to the cloud, Real-time analytics of the SPARC S7 and SPARC M7 processors are available both in a private cloud on SPARC servers or in Oracle’s Public cloud in the SPARC cloud compute service. Moving to the Oracle Public Cloud does not compromise the benefits of SPARC solutions. Some examples of utilizing real time data for business decisions include: analysis of supply chain data for order fulfillment and supply optimization, analysis of customer purchase history for real time recommendations to customers using online purchasing systems, etc. "
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Oracle PaaS/IaaS/Hardware
Published By: Oracle CX     Published Date: Oct 20, 2017
With the growing size and importance of information stored in today’s databases, accessing and using the right information at the right time has become increasingly critical. Real-time access and analysis of operational data is key to making faster and better business decisions, providing enterprises with unique competitive advantages. Running analytics on operational data has been difficult because operational data is stored in row format, which is best for online transaction processing (OLTP) databases, while storing data in column format is much better for analytics processing. Therefore, companies normally have both an operational database with data in row format and a separate data warehouse with data in column format, which leads to reliance on “stale data” for business decisions. With Oracle’s Database In-Memory and Oracle servers based on the SPARC S7 and SPARC M7 processors companies can now store data in memory in both row and data formats, and run analytics on their operatio
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Oracle CX
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: Red Hat, Inc.     Published Date: Jul 10, 2012
Today, as IT departments struggle to design and implement solutions capable of managing exponential data growth with strict requirements for application scale and performance, many of them are turning to in-memory data grids (IMDGs).
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it departments, data growth, managing data growth, application scale, application performance, in-memory data grids, imdgs, big data
    
Red Hat, Inc.
Published By: EMC Corporation     Published Date: Feb 13, 2015
XtremIO all-flash-arrays (AFAs) have redefined everything you know about SQL Server database infrastructures. Through a ground-breaking, fresh approach to storage design, XtremIO is uniquely engineered for SQL Server database requirements utilizing a powerful and vastly simplified scale-out performance architecture, with in-memory always-on compression, deduplication and space efficient copy services enabling application acceleration, consolidation and agility.
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all-flash-arrays, database infrastructures, sql server, database requirements, application acceleration, data management
    
EMC Corporation
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