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Published By: HP     Published Date: Feb 11, 2015
Organizations no longer have to wait months or years to deploy an all-flash storage array into their environment to host their applications. The technologies in this most recent iteration of the HP 3PAR StoreServ 7450 ensure that organizations get the performance they need, the cost at which they need it and the platform stability to offer it up to as many applications as they see fit. Read this buyer's guide to learn more.
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HP
Published By: IBM     Published Date: Oct 27, 2016
IBM Analytics for Apache Spark for Bluemix is an open-source cluster computing framework with in-memory processing to speed analytic applications up to 100 times faster compared to other technologies on the market today. Optimized for extremely fast and large scale data processing-you can easily perform big data analysis from one application.
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ibm, apache spark, bluemix, analytics, enterprise applications, business technology
    
IBM
Published By: VMware     Published Date: Jun 04, 2019
In this white paper, we look at five of the critical use cases currently driving HCI deployments and why they will continue to benefit from HCI in 2019 and beyond. Hyper-converged infrastructure has emerged as a breakthrough IT technology over the past several years. With the right HCI solution, IT teams can lower costs, increase agility and reduce complexity—leveraging a modern software-defined IT platform that provides a seamless path to hybrid cloud. The reality is that IT teams have been so pleased with the benefits they are already reaping with HCI that they are looking for new ways to use it to power key initiatives such as digital transformation. This trend is being accelerated by advances in performance, ease of use and functionality, driven by technology innovations such as Intel Optane memory and VMware vSAN. 
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VMware
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: Intel     Published Date: Sep 20, 2019
Skilled IT teams understand that one cloud does not fit all. Compliance issues may demand that some data be held internally. Budget-imposed total cost of ownership (TCO) limits may push other data out to public clouds. Hence, a scalable multi-cloud infrastructure becomes imperative. This whitepaper addresses key questions commonly raised by CIOs considering the move to multi-cloud. Further, it sheds light on how Intel® technologies such as the 2nd Generation Intel® Xeon® Scalable processors and Intel® Optane™ DC Persistent Memory can help boost your cloud credentials.
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Intel
Published By: Amazon Web Services     Published Date: Apr 16, 2018
Since SAP introduced its in-memory database, SAP HANA, customers have significantly accelerated everything from their core business operations to big data analytics. But capitalizing on SAP HANA’s full potential requires computational power and memory capacity beyond the capabilities of many existing data center platforms. To ensure that deployments in the AWS Cloud could meet the most stringent SAP HANA demands, AWS collaborated with SAP and Intel to deliver the Amazon EC2 X1 and X1e instances, part of the Amazon EC2 Memory-Optimized instance family. With four Intel® Xeon® E7 8880 v3 processors (which can power 128 virtual CPUs), X1 offers more memory than any other SAP-certified cloud native instance available today.
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Amazon Web Services
Published By: Mimecast ABM Q4     Published Date: Nov 22, 2017
Mimecast Cloud Archive has long set the industry standard for enterprise information archiving, helping to keep corporate knowledge available, protecting and preserving it while simplifying management and administration. By aggregating data across multiple platforms, organizations gain long-term business insights and create a secure, digital corporate memory while at the same time reducing costs and risks for legal and compliance teams. IT teams can reduce administrative overhead with streamlined management and simplified data recovery. Anytime, anywhere access to archive data improves employee productivity and efficient workflow efficiency. Customers can rest assured that their data is always-available, always-replicated and always-safe.
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datenarchivierung, verantwortlich, eigentlich, organisation, it-mitarbeitern, wissensarbeiter, fuhrungsebene
    
Mimecast ABM Q4
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, data volume, data velocity, data variability, data management, data collection, data processing, data scaling, data storage systems, data access, data solutions, data challenges, management tooling
    
Red Hat, Inc.
Published By: Red Hat, Inc.     Published Date: Jul 10, 2012
Is data changing the way you do business?Is it inventory sitting in your warehouse? The good news is data-driven applications enhance online customer experiences, leading to higher customer satisfaction and retention, and increased purchasing.
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it planning, data, data-driven applications, data challenges, data solutions, big data solutions, big data challenges, in-memory databases, web-abpplications, in-memory data grid, nosql, storage nodes, e-commerce applications, social applications, logisitcs applications, trading applications, data scaling, rest, memcached, hot rod
    
Red Hat, Inc.
Published By: AMD     Published Date: Jul 23, 2012
Virtualization and the cloud have effectively become mandates for IT. Though we are still somewhat early in the virtualization and cloud lifecycles, it's quite clear that these two technologies are going to become major, if not dominant models of IT.
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cloud computing, virtualization, scalability, memory management, server density, maintainability, workload management, network connections, processor connections, business agility, server consolidation, business continuity, amd, it management, business technology, data center
    
AMD
Published By: HP     Published Date: Nov 05, 2014
Organizations no longer have to wait months or years to deploy an all-flash storage array into their environment to host their applications. The technologies in this most recent iteration of the HP 3PAR StoreServ 7450 ensure that organizations get the performance they need, the cost at which they need it and the platform stability to offer it up to as many applications as they see fit. By taking advantage of the HP 3PAR StoreServ 7450 platform, organizations may confidently begin their journey into the all-flash world of tomorrow today with the knowledge that it will meet their various manageability, performance and scalability requirements along the way. Download this whitepaper now.
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flash memory, memory storage, buying decision, all-flash storage, data management, storage management, data reduction, performance production, proven data, software service, storeserv, it management, knowledge management, enterprise applications
    
HP
Published By: STANLEY Healthcare     Published Date: Mar 24, 2015
Founded in 1997, Benchmark Senior Living is the largest senior living provider in New England. The community in Shelton, Connecticut is just a short drive from the Connecticut coastline—the Split Rock community is home to about 50 assisted living and memory care residents. In addition to being a LEED-certified facility, Split Rock also exemplifies Benchmark Senior Living’s goal to leverage technology to enrich the lives of residents. To that end, the facility incorporates a range of communication technologies to promote engagement with family and the community. Read this case study to learn about how Benchmark Senior Living selected an integrated solution from STANLEY Healthcare and STANLEY Security encompassing emergency call from portable pendants and fixed call points, wander management, environmental monitoring and access control to improve resident's lives.
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healthcare, resident safety, senior living, assisted living, locating system, wi-fi, information technology, practice management
    
STANLEY Healthcare
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     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     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     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
Tags : 
    
Oracle
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     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     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     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
Tags : 
    
Oracle
Published By: Sage     Published Date: Oct 29, 2014
Cloud computing has become one of the biggest buzz topics in the modern business world. Many have lauded the cloud as one of the more transformative technological innovations in recent memory. An increasing number of companies are shifting their mission-critical data and applications to the cloud as a means of increasing ef?ciency, accessibility, and cost savings.
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cloud accounting, technological innovations, data and applications, increasing efficiency, accessibility, cost savings
    
Sage
Published By: Pega     Published Date: Sep 11, 2015
In this e-book, Pegasystems’ Vince Jeffs explains why firms must aspire to win over fickle and demanding consumers and to do it efficiently and effectively - they need a Customer Decision Hub – a customer relationship management brain with memory and predictive intelligence.
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Pega
Published By: AWS     Published Date: Nov 14, 2018
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making. Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources. This e-book aims to provide you with expert tips on how to use Amazon Redshift Spectrum to increase performance and potentially reduce the cost of your queries.
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AWS
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making. Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources.
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Amazon Web Services
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
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