system performance

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Published By: IBM     Published Date: Jul 06, 2017
Effectively using and managing information has become critical to driving growth in areas such as pursuing new business opportunities, attracting and retaining customers, and streamlining operations. In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before. These needs create a daunting array of workload challenges and place tremendous demands on your underlying IT infrastructure and database systems. In many cases, these systems are no longer up to the task—so it’s time to make a decision. Do you use more staff to keep up with the fixes, patches, add-ons and continual tuning required to make your existing systems meet performance goals, or move to a new database solution so you can assign your staff to new, innovative projects that move your business forward?
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database, growth, big data, it infrastructure, information management
    
IBM
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing. To make the most of these next-generation applications, you need a next-generation database. It must handle a massive volume of data while delivering high performance to support real-time analytics. At the same time, it must provide data availability for demanding applications, scalability for growth and flexibility for responding to changes.
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database, applications, data availability, cognitive applications
    
Group M_IBM Q1'18
Published By: IBM     Published Date: Apr 03, 2018
Can your database systems handle data growth and keep up with performance requirements? Here are six reasons to change.
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database systems, data management, hybrid data
    
IBM
Published By: Oracle     Published Date: Jan 28, 2019
Oracle Private Cloud Appliance is a converged infrastructure system designed for rapid and simple deployment of private cloud at an industry-leading price point. Whether customers are running Linux, Microsoft Windows or Oracle Solaris applications, Oracle Private Cloud Appliance supports consolidation for a wide range of mixed workloads in medium-to-large sized data centers. High-performance, low-latency Oracle Fabric Interconnect and Oracle SDN allow automated configuration of the server and storage networks. The embedded controller software automates the installation, configuration, and management of all infrastructure components at the push of a button. Customers need to enter only basic configuration parameters and create virtual machines (VMs) manually or by using Oracle VM Templates to get a full application up and running in a few hours. With Oracle Enterprise Manager, the Oracle Private Cloud Appliance is transformed into a powerful private cloud infrastructure that integrates
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Oracle
Published By: Teradata     Published Date: Jun 12, 2013
Until now, huge amounts of data have been ignored or underutilized simply because the tools didn't exist to make sense of it all. The good news is that increasingly sophisticated software is combining with growing computing horsepower to produce new analytics platforms that can handle all types of data from disparate systems Organizations can extract intelligence from their data to significantly outperform their rivals on growth, earnings, and performance.
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unified data architecture, big data, analytics, finance
    
Teradata
Published By: Scalebase     Published Date: Mar 08, 2013
Learn how Mozilla is able to cost-effectively scale out their new Firefox mobile operating system App Store (running MySQL) to an infinite number of users, while increasing performance.
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mozilla, scalebase, performance, app store, increasing performance, infinite number of users, increasing performance, shard
    
Scalebase
Published By: NetApp     Published Date: Sep 22, 2014
NetApp Flash Pool is a storage cache option within the NetApp Virtual Storage Tier product family, available for NetApp FAS storage systems. A Flash Pool configures solid state drives (SSDs) and hard disk drives (HDDs) into a single storage pool, known as an “aggregate” in NetApp parlance, with the SSDs providing a fast response time cache for volumes that are provisioned on the Flash Pool aggregate. In this lab evaluation, NetApp commissioned Demartek to evaluate the effectiveness of Flash Pool with different types and numbers of hard disk drives using an online transaction processing (OLTP) database workload, and to evaluate the performance of Flash Pool in a clustered Data ONTAP environment during a cluster storage node failover scenario. In the report, you’ll dis cover how Demartek test engineers documented a 283% gain in IOPS and a reduction in latency by a factor of 66x after incorporating NetApp Flash Pool technology.
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flash pool, fas storage systems, ssd, online transaction processing, cluster storage
    
NetApp
Published By: ServiceNow     Published Date: Jan 03, 2017
The scope and value that modern IT service delivery provides a business is increasing dramatically, according to a new research reportfrom Enterprise Management Associates (EMA). And yet in some organizations legacy ITSM systems contribute significantly to reduced credibility for IT departments who fail to integrate with and support important business concerns. This lack of modern IT service delivery creates multiple issues for the enterprise, including: Increasing divergence of IT and business performance Rising costs due to service delivery complexity Inability to measure and protect a business from potential risks Informed by extensive research and two compelling deployment narratives, this report examines what EMA calls “next-generation ITSM” and its contributions toward optimizing changing IT and business requirements. EMA contrasts these advances with the risks of staying with legacy ITSM models and then evaluates and itemizes the risks of “doing nothing” by allowing legacy ITS
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it management, it automation, it ticketing, help desk, service desk, itsm, it service management
    
ServiceNow
Published By: IBM     Published Date: Oct 27, 2016
A unique point-of-view prepared by IBM Digital Foundation services on how we can help improve application and system performance while reducing costs
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ibm, leadership, ibm digital foundation, innovation, system performance
    
IBM
Published By: IBM     Published Date: Aug 23, 2017
To compete in today’s fast-paced business climate, enterprises need accurate and frequent sales and customer reports to make real-time operational decisions about pricing, merchandising and inventory management. They also require greater agility to respond to business events as they happen, and more visibility into business activities so information and systems are optimized for peak efficiency and performance. By making use of data capture and business intelligence to integrate and apply data across the enterprise, organizations can capitalize on emerging opportunities and build a competitive advantage.
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ibm, data replication, inventory management, competitive advantage
    
IBM
Published By: HotSchedules     Published Date: Jan 26, 2018
Restaurants are complex businesses with a simple aim: great guest experiences that keep customers coming back for more. In order to achieve this goal, stores must deliver on the promise of a great product and exceptional service. There are a lot of ways to make the equation work and each brand has its own unique mix of ingredients that bring the whole operation together to create a recipe for profitability. There are also elements of a successful restaurant that are consistent across any operation. Restaurant executives have long been on the hunt for this elusive lever (or combination of levers) that systematically drive performance regardless of conditions.
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cio, office, innovation, restaurant, data, software, workflow, hotschedules
    
HotSchedules
Published By: HotSchedules     Published Date: Feb 06, 2018
What could you be saving by implementing a learning management system? This guide will show you the provable return on investment in an eLearning strategy; how an LMS can help your business lower print costs, reduce employee turnover, positively impact sales, and much more. Whether you’re exploring the marketplace or building out your business case for online learning, this guide has the information you want. As you prepare to move to a new LMS consider Clarifi Talent Development, the learning and performance management system designed for today’s workforce. It is the choice for leading brands like Brinker, Newk’s and Subway. Unfortunately, many business owners either fail to see the value in ongoing training or don’t have the budget for it. Competition is fierce, margins are tight and learning programs can fall by the wayside. Sometimes the tried and true methods still get the job done. But all too often, on-the-job training is unengaging, expensive and inefficient.
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market, training, onboarding, restaurants, employee
    
HotSchedules
Published By: HotSchedules     Published Date: Jan 17, 2019
What could you be saving by implementing a learning management system? This guide will show you the provable return on investment in an eLearning strategy; how an LMS can help your business lower print costs, reduce employee turnover, positively impact sales, and much more. Whether you’re exploring the marketplace or building out your business case for online learning, this guide has the information you want. As you prepare to move to a new LMS consider Clarifi Talent Development, the learning and performance management system designed for today’s workforce. It is the choice for leading brands like Brinker, Newk’s and Subway.
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HotSchedules
Published By: OnBase by Hyland     Published Date: May 17, 2017
IT sprawl can be a serious roadblock to your organization's future success, as disconnected information systems and multiple applications get in the way of overall performance. Instead, put sprawl in its place by thinking like an urban planner. In the complimentary e-book, learn how to manage growth with a master plan that uses a single enterprise information platform.
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sprawl, application, content, information, management, system, cio, hyland
    
OnBase by Hyland
Published By: Oracle + Dyn     Published Date: Jun 27, 2017
"Today's internet-dependent business landscape demands frequent system changes, higher throughput and increased reliability. If your new features and fixes do not hit the digital market quickly, user experience, customer retention and revenue all take a hit. DNS however, is a tool that can be used to both mitigate problems and optimize the performance and delivery of these systems. Read the latest O'Reilly book to understand how the DevOps approach combined with the fundamentals of DNS can: • Use DNS as a means of distribution, deployment and high-availability • Mitigate failure and minimize risk • Improve system reliability and management Get the O'Reilly Book! "
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Oracle + Dyn
Published By: Oracle + Dyn     Published Date: Jun 29, 2017
Every user’s first interaction with your website begins with a series of DNS queries. The Domain Name System or DNS is a distributed internet database that maps human-readable names to IP addresses, ensuring users reach the correct online asset (website, application, etc) efficiently. Knowing the complexities and best practices of this layer of your online infrastructure will help your organization build redundancy, improve end-user performance and establish a top notch DR plan. Download this guide to DNS top terms and actionable concepts including: Anycast vs. Unicast networks CNAME DDoS and Hijacking Load Balancing and GSLB
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Oracle + Dyn
Published By: Datavail     Published Date: Jan 12, 2018
Your enterprise performance management systems like Hyperion are mission critical. If you’re a Hyperion administrator, manager, or even a finance director, you know a crash, bug, or performance issue can delay reporting and take hours or even days to fix. Fortunately, keeping Hyperion running smoothly – and catching these issues before they happen – is not as impossible or time-consuming as you might believe. Join us for this webinar as we explore and debunk 9 misconceptions of Hyperion Performance Management that are keeping you from effectively managing your platform so financial processes run smoothly.
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Datavail
Published By: IBM     Published Date: Apr 25, 2018
Many retailers are investing in distributed order management systems to optimize their consumer order fulfilment performance. Chief supply chain officers can use this research to successfully implement these systems into their business application landscape.
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b2c, ibm, order management, supply chain
    
IBM
Published By: Group M_IBM Q418     Published Date: Oct 15, 2018
The enterprise data warehouse (EDW) has been at the cornerstone of enterprise data strategies for over 20 years. EDW systems have traditionally been built on relatively costly hardware infrastructures. But ever-growing data volume and increasingly complex processing have raised the cost of EDW software and hardware licenses while impacting the performance needed for analytic insights. Organizations can now use EDW offloading and optimization techniques to reduce costs of storing, processing and analyzing large volumes of data. Getting data governance right is critical to your business success. That means ensuring your data is clean, of excellent quality, and of verifiable lineage. Such governance principles can be applied in Hadoop-like environments. Hadoop is designed to store, process and analyze large volumes of data at significantly lower cost than a data warehouse. But to get the return on investment, you must infuse data governance processes as part of offloading.
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Group M_IBM Q418
Published By: Group M_IBM Q418     Published Date: Nov 20, 2018
Many retailers are investing in distributed order management systems to optimize their consumer order fulfilment performance. Chief supply chain officers can use this research to successfully implement these systems into their business application landscape.
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Group M_IBM Q418
Published By: TIBCO Software     Published Date: Feb 14, 2019
Digital business initiatives have expanded in scope and complexity as companies have increased the rate of digital innovation to capture new market opportunities. As applications built using fine-grained microservices and functions become pervasive, many companies are seeing the need to go beyond traditional API management to execute new architectural patterns and use cases. APIs are evolving both in the way they are structured and in how they are used, to not only securely expose data to partners, but to create ecosystems of internal and/or third-party developers. In this datasheet, learn how you can use TIBCO Cloud™ Mashery® to: Create an internal and external developer ecosystem Secure your data and scale distribution Optimize and manage microservices Expand your partner network Run analytics on your API performance
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TIBCO Software
Published By: TIBCO Software     Published Date: Feb 14, 2019
Digital business initiatives have expanded in scope and complexity as companies have increased the rate of digital innovation to capture new market opportunities. As applications built using fine-grained microservices and functions become pervasive, many companies are seeing the need to go beyond traditional API management to execute new architectural patterns and use cases. APIs are evolving both in the way they are structured and in how they are used, to not only securely expose data to partners, but to create ecosystems of internal and/or third-party developers. In this datasheet, learn how you can use TIBCO Cloud™ Mashery® to: Create an internal and external developer ecosystem Secure your data and scale distribution Optimize and manage microservices Expand your partner network Run analytics on your API performance
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TIBCO Software
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: Group M_IBM Q3'19     Published Date: Jun 27, 2019
The enterprise data warehouse (EDW) has been at the cornerstone of enterprise data strategies for over 20 years. EDW systems have traditionally been built on relatively costly hardware infrastructures. But ever-growing data volume and increasingly complex processing have raised the cost of EDW software and hardware licenses while impacting the performance needed for analytic insights. Organizations can now use EDW offloading and optimization techniques to reduce costs of storing, processing and analyzing large volumes of data.
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     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 Q3'19
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