processing

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By: Cray     Published Date: Aug 22, 2014
Learn how to optimize codes for faster application performance with Intel® Xeon® Phi™ coprocessor.
Tags : application performance, intel® xeon® phi™ coprocessor
     Cray
By: Seagate     Published Date: Jan 26, 2016
Finding oil and gas has always been a tricky proposition, given that reserves are primarily hidden underground, and often as not, under the ocean as well. The costs involved in acquiring rights to a site, drilling the wells, and operating them are considerable and has driven the industry to adopt advanced technologies for locating the most promising sites. As a consequence, oil and gas exploration today is essentially an exercise in scientific visualization and modeling, employing some of most advanced computational technologies available. High performance computing (HPC) systems are being used to fill these needs, primarily with x86-based cluster computers and Lustre storage systems. The technology is well developed, but the scale of the problem demands medium to large-sized systems, requiring a significant capital outlay and operating expense. The most powerful systems deployed by oil and gas companies are represented by petaflop-scale computers with multiple petabytes of attached
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     Seagate
By: Altair     Published Date: Jul 15, 2014
NSCEE’s new workload management solution including PBS Professional has reduced overall runtimes for processing workload. Furthermore, NSCEE credits PBS Professional with improving system manageability and extensibility thanks to these key features: • Lightweight solution • Very easy to manage • Not dependent on any specific operating system • Can be easily extended by adding site-specific processing plugins/hooks To learn more click to read the full paper
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     Altair
By: IBM     Published Date: Nov 14, 2014
A high performance computing (HPC) cluster refers to a group of servers built from off-the-shelf components that are connected via certain interconnect technologies. A cluster can deliver aggregated computing power from its many processors with many cores — sometimes hundreds, even thousands — to meet the processing demands of more complex engineering software, and therefore deliver results faster than individual workstations. If your company is in the majority that could benefit from access to more computing power, a cluster comprised of commodity servers may be a viable solution to consider, especially now that they’re easier to purchase, deploy, configure and maintain than ever before. Read more and learn about the '5 Easy Steps to a High Performance Cluster'.
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     IBM
By: AMD     Published Date: Nov 09, 2015
Graphics Processing Units (GPUs) have become a compelling technology for High Performance Computing (HPC), delivering exceptional performance per watt and impressive densities for data centers. AMD has partnered up with Hewlett Packard Enterprise to offer compelling solutions to drive your HPC workloads to new levels of performance. Learn about the awe-inspiring performance and energy efficiency of the AMD FirePro™ S9150, found in multiple HPE servers including the popular 2U HPE ProLiant DL380 Gen9 server. See why open standards matter for HPC, and what AMD is doing in this area. Click here to read more on AMD FirePro™ server GPUs for HPE Proliant servers
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     AMD
By: HPE     Published Date: Jul 21, 2016
Deep learning is a method of creating artificial intelligence systems that combine computer-based multi-layer neural networks with intensive training techniques and large data sets to enable analysis and predictive decision making. A fundamental aspect of deep learning environments is that they transcend finite programmable constraints to the realm of extensible and trainable systems. Recent developments in technology and algorithms have enabled deep learning systems to not only equal but to exceed human capabilities in the pace of processing vast amounts of information
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     HPE
By: TIBCO Software APAC     Published Date: Aug 13, 2018
Big data has raised the bar for data virtualization products. To keep pace, TIBCO® Data Virtualization added a massively parallel processing engine that supports big-data scale workloads. Read this whitepaper to learn how it works.
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     TIBCO Software APAC
By: IBM     Published Date: Jun 04, 2018
"The appearance of your reports and dashboards – the actual visual appearance of your data analysis -- is important. An ugly or confusing report may be dismissed, even though it contains valuable insights about your data. Cognos Analytics has a long track record of high quality analytic insight, and now, we added a lot of new capabilities designed to help even novice users quickly and easily produce great-looking and consumable reports you can trust. Watch this webinar to learn: • How you can more effectively communicate with data. • What constitutes an intuitive and highly navigable report • How take advantage of some of the new capabilities in Cognos Analytics to create reports that are more compelling and understandable in less time. • Some of the new and exciting capabilities coming to Cognos Analytics in 2018 (hint: more intelligent capabilities with enhancements to Natural Language Processing, data discovery and Machine Learning)."
Tags : data analysis, data analytics, dashboards
     IBM
By: SAS     Published Date: May 24, 2018
This paper provides an introduction to deep learning, its applications and how SAS supports the creation of deep learning models. It is geared toward a data scientist and includes a step-by-step overview of how to build a deep learning model using deep learning methods developed by SAS. You’ll then be ready to experiment with these methods in SAS Visual Data Mining and Machine Learning. See page 12 for more information on how to access a free software trial. Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. Deep learning is used strategically in many industries.
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     SAS
By: Genesys     Published Date: Jun 11, 2018
While most companies today support multi-channel customer service, they typically manage individual channels in silos, resulting in a fragmented customer experience. Moving to an omnichannel contact center solution will not only provide a substantial competitive advantage, it will also improve the overall experience and satisfaction of both agents and customers. Download this tip sheet to learn eleven metrics for building your business case for omnichannel customer service including: • 50% reduction in processing of duplicate messages across channels • Over 20% increase in First Contact Resolution • 15% increase in CSAT
Tags : omnichannel contact center, customer experience, csat, first contact resolution
     Genesys
By: Amazon Web Services     Published Date: Sep 05, 2018
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time. This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
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     Amazon Web Services
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
By: NEC     Published Date: Sep 29, 2009
Written by: IDC Abner Germanow, Jonathan Edwards, Lee Doyle IDC believes the convergence of communications and mainstream IT architectures will drive significant innovation in business processes over the next decade.
Tags : it architecture, idc, automation, automated order processing, soa, service oriented architecture, soap, http, xml, wsdl, uddi, esbs, jee, .net, crm, san
     NEC
By: Vision Solutions     Published Date: Feb 18, 2008
Continuous member service is an important deliverable for credit unions, and. the continued growth in assets and members means that the impact of downtime is affecting a larger base and is therefore potentially much more costly. Learn how new data protection and recovery technologies are making a huge impact on downtime for credit unions that depend on AIX-hosted applications.
Tags : vision, high availability, ibm, aix, cdp, core union
     Vision Solutions
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
By: SAP     Published Date: Feb 03, 2017
The spatial analytics features of the SAP HANA platform can help you supercharge your business with location-specific data. By analyzing geospatial information, much of which is already present in your enterprise data, SAP HANA helps you pinpoint events, resolve boundaries locate customers and visualize routing. Spatial processing functionality is standard with your full-use SAP HANA licenses.
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     SAP
By: Cisco EMEA Tier 3 ABM     Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
Tags : big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
     Cisco EMEA Tier 3 ABM
By: SAP     Published Date: May 18, 2014
In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
In midsize and large organizations, critical business processing continues to depend on relational databases including Microsoft® SQL Server. While new tools like Hadoop help businesses analyze oceans of Big Data, conventional relational-database management systems (RDBMS) remain the backbone for online transaction processing (OLTP), online analytic processing (OLAP), and mixed OLTP/OLAP workloads.
Tags : database usage, database management, server usage, data protection
     Hewlett Packard Enterprise
By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
What if you could reduce the cost of running Oracle databases and improve database performance at the same time? What would it mean to your enterprise and your IT operations? Oracle databases play a critical role in many enterprises. They’re the engines that drive critical online transaction (OLTP) and online analytical (OLAP) processing applications, the lifeblood of the business. These databases also create a unique challenge for IT leaders charged with improving productivity and driving new revenue opportunities while simultaneously reducing costs.
Tags : cost reduction, oracle database, it operation, online transaction, online analytics
     Hewlett Packard Enterprise
By: Cisco     Published Date: Jun 21, 2016
The Cisco® Hyperlocation Solution is the industry’s first Wi-Fi network-based location system that can help businesses and users pinpoint a user’s location to within one to three meters, depending on the deployment. Combining innovative RF antenna and module design, faster and more frequent data processing, and a powerful platform for customer engagement, it can help businesses create more personalized and profitable customer experiences.
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     Cisco
By: Pentaho     Published Date: Feb 26, 2015
This eBook from O’Reilly Media will help you navigate the diverse and fast-changing landscape of technologies for processing and storing data (NoSQL, big data, MapReduce, etc).
Tags : data systems, data-intensive applications, scalability, maintainability, data storage, application development
     Pentaho
By: OpenText     Published Date: Mar 02, 2017
Watch the video to learn how Procure-to-Pay (P2P) solutions automate B2B processes to help you gain better visibility into transaction lifecycles, improve efficiency, and increase the speed and accuracy of order, shipping, and invoice processing.
Tags : supply chain, b2b, procure-to-pay, shipping, invoicing
     OpenText
By: Amazon Web Services     Published Date: Sep 05, 2018
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time. This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
Tags : 
     Amazon Web Services
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.
Tags : 
     Amazon Web Services
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