memory

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Published By: Intel     Published Date: Mar 06, 2020
Overcome today’s memory/storage challenges at a lower cost. Data consumption is growing at an exponential rate making data storage a critical part of workload performance for businesses. The rapid increase in database sizes is creating significant challenges. Intel® Optane™ DC persistent memory helps overcome these challenges by moving larger amounts of data closer to the CPU to enable faster processing in real-time. By combining the positive features of memory and storage, this revolutionary new technology delivers larger, affordable capacity. Download this detailed whitepaper to discover how Intel, SAP, and Accenture deliver a solution for high-performance, high-capacity, low-cost memory.
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Intel
Published By: Oracle     Published Date: Aug 18, 2016
This white paper documents the results of recent testing of the Oracle SPARC M7 processor with a focus on in-memory database performance for the real-time enterprise.
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data. In-memory databases have helped address p
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Oracle
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
This ESG Lab review documents the results of recent testing of the Oracle SPARC M7 processor with a focus on in-memory database performance for the real-time enterprise. Leveraging new advanced features like columnar compression and on-ship in-memory query acceleration, ESG Lab compared the in-memory database performance of a SPARC T7 system with a SPARC M7 processor to an x86-based system.
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Oracle PaaS/IaaS/Hardware
Published By: Oracle CX     Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data. In-memory databases have helped address p
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Oracle CX
Published By: Intel     Published Date: Sep 30, 2019
Mountains of data promise valuable insights and innovation for businesses that rethink and redesign their system architectures. But companies that don’t re-architect might find themselves scrambling just to keep from being buried in the avalanche of data. The problem is not just in storing raw data, though. For businesses to stay competitive, they need to quickly and cost-effectively access and process all that data for business insights, research, artificial intelligence (AI), and other uses. Both memory and storage are required to enable this level of processing, and companies struggle to balance high costs against limited capacities and performance constraints. The challenge is even more daunting because different types of memory and storage are required for different workloads. Furthermore, multiple technologies might be used together to achieve the optimal tradeoff in cost versus performance. Intel is addressing these challenges with new memory and storage technologies that emp
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Intel
Published By: IBM     Published Date: Oct 19, 2011
Learn how your organization can benefit from these top ten benefits of a server refresh!
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server, refresh, benefits, system x, hardware solutions, hardware solutions, ibm., memory capacity
    
IBM
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: SAP     Published Date: May 22, 2012
With SAP In-Memory Computing, massive amounts of data can be queried and analyzed 3600 times faster than before -- turning questions into action and giving you insight you can act on immediately. Your competitors will still be pondering the numbers while you are making your next move. Discover this eBook to learn more.
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sap, ebook, business, computing, technology, real-time, business technology, it management
    
SAP
Published By: IBM     Published Date: Oct 01, 2013
SAP Transaction Banking (TRBK) benchmark
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ibm, ibm servers, servers, operating systems, transaction banking, application servers, server memory, database servers
    
IBM
Published By: Oracle     Published Date: Oct 20, 2017
Oracle’s new cloud platform, included 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 memory and can prevent hacking explo
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Oracle
Published By: Oracle CX     Published Date: Oct 20, 2017
Oracle’s new cloud platform, included 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 memory and can prevent hacking explo
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Oracle CX
Published By: Gigaom     Published Date: Jan 15, 2019
This recorded one-hour webinar will show you the benefits of end-to-end solutions and storage consolidation.
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nutanix, storage, storage infrastructure, storage consolidation, hybrid cloud, memory storage
    
Gigaom
Published By: Oracle     Published Date: Oct 20, 2017
The Software in Silicon design of the SPARC M7 processor, and the recently announced SPARC S7 processor, implement memory access validation directly into the processor so that you can protect application data that resides in memory. It also includes on-chip Data Analytics Accelerator (DAX) engines that are specifically designed to accelerate analytic functions. The DAX engines make in-memory databases and applications run much faster, plus they significantly increase usable memory capacity by allowing compressed databases to be stored in memory without a performance penalty. The following Software in Silicon technologies are implemented in the SPARC S7 and M7 processors: Note: Security in Silicon encompasses both Silicon Secured Memory and cryptographic instruction acceleration, whereas SQL in Silicon includes In-Memory Query Acceleration and In-Line Decompression. Silicon Secured Memory is the first-ever end-to-end implementation of memory-access validation done in hardware. It
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Oracle
Published By: Oracle CX     Published Date: Oct 19, 2017
The Software in Silicon design of the SPARC M7 processor, and the recently announced SPARC S7 processor, implement memory access validation directly into the processor so that you can protect application data that resides in memory. It also includes on-chip Data Analytics Accelerator (DAX) engines that are specifically designed to accelerate analytic functions. The DAX engines make in-memory databases and applications run much faster, plus they significantly increase usable memory capacity by allowing compressed databases to be stored in memory without a performance penalty. The following Software in Silicon technologies are implemented in the SPARC S7 and M7 processors: Note: Security in Silicon encompasses both Silicon Secured Memory and cryptographic instruction acceleration, whereas SQL in Silicon includes In-Memory Query Acceleration and In-Line Decompression. Silicon Secured Memory is the first-ever end-to-end implementation of memory-access validation done in hardware. It
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Oracle CX
Published By: Nimble Storage     Published Date: Oct 28, 2013
It’s easy to underestimate the performance and capacity requirements for VDI storage, and missteps now can lead to expensive problems later. In “Risk-Free Storage for VDI,” you’ll learn how Nimble Storage delivers responsive performance to handle peak VDI workloads, integrated data protection, and instant backups and restores—all for dramatically less than you’re paying now.
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nimble storage, data storage, backup, disaster recovery, flash memory, data protection, ssd, hybrid storage
    
Nimble Storage
Published By: SAS     Published Date: Apr 20, 2015
This conclusions paper introduces key machine learning concepts and describes new SAS solutions – SAS In-Memory Statistics for Hadoop and SAS Visual Statistics – that enable machine learning at scale.
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SAS
Published By: SAS     Published Date: Mar 06, 2018
Imagine getting into your car and saying, “Take me to work,” and then enjoying an automated drive as you read the morning news. We are getting very close to that kind of scenario, and companies like Ford expect to have production vehicles in the latter part of 2020. Driverless cars are just one popular example of machine learning. It’s also used in countless applications such as predicting fraud, identifying terrorists, recommending the right products to customers at the right time, and correctly identifying medical symptoms to prescribe appropriate treatments. The concept of machine learning has been around for decades. What’s new is that it can now be applied to huge quantities of data. Cheaper data storage, distributed processing, more powerful computers and new analytical opportunities have dramatically increased interest in machine learning systems. Other reasons for the increased momentum include: maturing capabilities with methods and algorithms refactored to run in memory; the
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SAS
Published By: McAfee     Published Date: Feb 06, 2013
Learn how McAfee Deep Defender version 1.0 targets the more dangerous kernel mode rootkits.
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rootkit, deep defender, application control, change control, black listing, white listing, security compliance, trusted memory services layer
    
McAfee
Published By: SAP     Published Date: Nov 16, 2017
SAP S/4HANA is the next generation of SAP ERP. Taking full advantage of the SAP HANA in-memory platform, SAP S/4HANA promises to bring big innovations and benefits to enterprises. But when it comes to deployment, what are the strategies available?
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SAP
Published By: BlackBerry     Published Date: May 20, 2009
Mobility is no longer considered a luxury within enterprise but a critical part of a networking strategy as firms look to increase productivity and remain competitive in a rapidly changing environment. As mobility becomes an integral part of the infrastructure, IT must deal with supporting numerous devices including laptops, smartphones and other mobile handhelds. The challenge for IT will be enabling productivity improvements while mitigating the risk of numerous types of devices. The devices and their memory cards may hold sensitive organizational and personal information, including information about product announcements, 9inancial statements, or customer records.
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blackberry, mobile applications, cio, deployments, pim, voip, smartphones, it communication
    
BlackBerry
Published By: SAP     Published Date: Feb 03, 2017
The SAP HANA platform provides a powerful unified foundation for storing, processing, and analyzing structured and unstructured data. It funs on a single, in-memory database, eliminating data redundancy and speeding up the time for information research and analysis.
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SAP
Published By: CCSS     Published Date: Jul 05, 2007
Capability breeds dependence. The more you can do, the more is asked of you. The more time you save, the more time you spend seeking out ways to save more time or money. If less really is more, how do you do more with less? Effective system monitoring could help you break free of the system shackles and use your System i (iSeries) network to save time and money.
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ibm, system monitoring, monitoring, network monitoring, productivity, performance management, system performance, memory pool performance
    
CCSS
Published By: Nimble Storage     Published Date: Oct 28, 2013
Nimble Storage’s patented Cache Accelerated Sequential Layout (CASL™) is the industry’s first flash-optimized storage designed from the ground up to maximize efficiency. In this product brief, you’ll learn how Nimble Storage customers run more workloads with less storage infrastructure, protect more data, and streamline data management so they can focus on higher-value projects.
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nimble storage, data storage, backup, disaster recovery, flash memory, data protection, ssd, hybrid storage
    
Nimble Storage
Published By: PC Mall     Published Date: Mar 03, 2012
The AMD Opteron processor-based 2P server provides more cores, more memory channels, more memory capacity at a lower total processor price.
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servers, server, hp servers, hp server, opteron, amd, performance
    
PC Mall
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