real time data

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By: TIBCO Software     Published Date: Sep 12, 2018
By processing real-time data from machine sensors using artificial intelligence and machine learning, it’s possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield. Read about our top data science best practices for becoming a smart manufacturer.
Tags : inter-company connectivity, real-time tracking, automate analytic models, efficient analytics, collaboration
     TIBCO Software
By: Oracle     Published Date: Jun 10, 2019
Data is central to marketing function, yet research shows that 50% of CMOs struggle to manage data volumes, or gain insights. Read how to address data ethics and management in your organisation. Marketing’s top priority is to enforce technologies enabling real time data insights to drive instant, personalised CX. Meanwhile, only 30% of CMOs say they have data visualisation dashboards to analyse specific sets of data. Read the findings
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     Oracle
By: Oracle     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
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     Oracle
By: Oracle     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
Tags : 
     Oracle
By: Oracle     Published Date: Oct 20, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most compani
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     Oracle
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
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
By: Oracle     Published Date: Oct 20, 2017
This whitepaper explores the new SPARC S7 server features and then compares this offering to a similar x86 offering. The key characteristics of the SPARC S7 to be highlighted are: Designed for scale-out and cloud infrastructures SPARC S7 processor with greater core performance than the latest Intel Xeon E5 processor Software in Silicon which offers hardware-based features such as data acceleration and security The SPARC S7 is then compared to a similar x86 solution from three different perspectives, namely performance, risk and cost. Performance matters as business markets are driving IT to provide an environment that: Continuously provides real-time results. Processes more complex workload stacks. Optimizes usage of per-core software licenses Risk matters today and into the foreseeable future, as challenges to secure systems and data are becoming more frequent and invasive from within and from outside. Oracle SPARC systems approach risk management from multiple perspectiv
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     Oracle
By: StreamSets     Published Date: Sep 24, 2018
If you’ve ever built real-time data pipelines or streaming applications, you know how useful the Apache Kafka™ distributed streaming platform can be. Then again, you’ve also probably bumped up against the challenges of working with Kafka. If you’re new to Kafka, or ready to simplify your implementation, we present common challenges you may be facing and five ways that StreamSets can make your efforts much more efficient and reliable
Tags : apache, kafka, steam, sets, data
     StreamSets
By: StreamSets     Published Date: Dec 05, 2018
Enterprise analytics is quickly evolving into a democratized capability where anyone can access and act on all available information, often in real-time employing advanced techniques. But the complex, dynamic and urgent nature of modern data analytics demands a new approach to data integration. This paper proposes that DataOps, the application of DevOps practices to data analytics, is the best way to overcome these challenges to create an iterative build-operate process for data movement. Read this white paper to: Understand how modern data analytics create data integration challenges due to architectural complexity, operational blindness and data drift. Learn how DevOps pillars of automation and monitoring can create higher developer productivity, operational efficiency and business confidence in data. See specific examples of DataOps functionality being applied to data integration across modern architectures.
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     StreamSets
By: StreamSets     Published Date: Feb 13, 2019
Enterprise analytics has quickly evolved from a centralized business intelligence function for historical reporting and dashboards to a democratized capability where anyone can access, analyze and act on all available information, often in real-time while employing advanced techniques. But the complex, dynamic and urgent nature of modern data analytics demands a new approach to data integration.
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     StreamSets
By: HP - Enterprise     Published Date: Feb 06, 2013
We are children of the information generation. No longer tied to large mainframe computers, we now access information via applications, mobile devices, and laptops to make decisions based on real-time data.
Tags : big security, big data, secure data
     HP - Enterprise
By: SDL Web Content Management Solutions     Published Date: Sep 01, 2010
Recent evolution in the mobile applications market now offers enterprises new opportunities for reaching customers in ways never before possible. In the past 18 months, a number of independent market forces have converged to enable goods-and-services providers to market to specific customers, at specific times, at specific locations. Importantly, such targeted messaging draws on a richer-than-ever set of consumer information, including not only detailed demographics from implicit (inferred) and explicit (user-provided) profiles, but also real-time, location-based data.
Tags : sdl, web content management, magic quadrant, wcm, content, web, mobile marketing, strategy, analytics
     SDL Web Content Management Solutions
By: EMC Corporation     Published Date: May 27, 2014
If success for you means real-time data management, SAP HANA can keep your business on target. Watch this video to find out how SAP HANA allows your systems to instantly adapt to the ever-changing business environment you work in, and discover how EMC’s solutions give you efficient disaster-tolerance and backup while improving efficiency with our industry-leading partners.
Tags : emc, sap hana, vmware, virtualize sap, virtualize applications, it management, data center
     EMC Corporation
By: Intacct Corporation     Published Date: Jan 02, 2014
Learn the 4 essential features to bring your accounting system out of the Stone Age. Modern businesses are, by their nature, complex. But if you're using an accounting system that forces you to struggle with manual processes—limiting your flexibility and draining your productivity—you might as well be stuck in the Stone Age. But there's great news! It's 2014, and there's never been a better time to make the move to a modern accounting system. What features should you look for? Download our new checklist, "Essential Features of a Modern Accounting System," to learn how the right accounting system can help you: • Automate financial processes and optimize workflows to fit your organization's business processes. • Access real-time data to drive business insight and improve decision making. • Lower IT costs and reduce technology risks with a best-in-class cloud architecture.
Tags : accounting, modernizing account system, automate financial processes, business processes, real-time data access, best-in-class cloud architecture
     Intacct Corporation
By: CareCloud     Published Date: Jan 08, 2014
The power of analytics is undeniable, but before moving your practice into the future you should know where you stand today. This whitepaper will teach you to implement a healthcare analytics strategy at your practice, which is essential to improving productivity, increasing profitability and improving patient outcomes. Download this white paper and learn how to: • Assess and improve healthcare analytics reporting capabilities • Optimize medical practice efficiency in real-time • Evaluate what you need from the right analytics system • Manage patient populations more effectively • Maximize profitability through data-driven decision-making, and more.
Tags : carecloud, actionable analytics, real time, business intelligence, meaningful use, patient data
     CareCloud
By: ServiceSource     Published Date: Nov 01, 2013
In this book we describe best practices honed through 13 years of experience and partnership with some of the leading technology companies in the world. These best practices will give you insight into three key areas: • Data management & renewal opportunity generation • Sales strategy & execution • Continuing the renewal cycle We hope you enjoy this book!
Tags : reducing customer churn, servicesource, recurring revenue, higher profit margins, drive innovation, drive performance, saas companies, competitive markets, less loyal customers, the cloud, profitable revenue stream, unique business process, technology platform, deliver real-time, fact-based plan, renewal ready data, accelerate analytics, channel partners, science of renewals
     ServiceSource
By: Equinix     Published Date: Oct 20, 2015
The cloud is impacting WAN architectures. IT leaders looking to use a cloud-based infrastructure and/or application services, especially high-bandwidth, real-time voice and video over Internet Protocol applications, should strategically locate communications hubs outside the enterprise data center.
Tags : communication hubs, wan architectures, cloud-based infrastructure, application services, high-bandwith, networking, enterprise applications
     Equinix
By: Landis + Gyr     Published Date: May 30, 2017
Learn how five asset management strategies have evolved to unlock real-time data. Today, many utilities are developing transformative, data-driven asset management strategies that build on their advanced metering infrastructure (AMI) investments. The results? Improved reliability, customer satisfaction, efficiency, and long-term planning. In this white paper, we examine the relationship between asset management and technology: • How technology advances have driven the evolution of asset management • 5 asset management strategies built on real-time data • How you can prepare for a distribution-centric world
Tags : asset management, analytics, data, ami, landis
     Landis + Gyr
By: Ciena     Published Date: Nov 15, 2016
"In healthcare, as the trends supporting eHealth accelerate, the need for scalable, reliable, and secure network infrastructures will only grow. This white paper describes the key factors and technologies to consider when building a private network for healthcare sector enterprises, including: Transport Network Equipment Outside Fiber Plant Converged Platforms Reliability, Redundancy, and Protection Reconfigurable Networks Management Software Security Services, Operation, Program Management, and Maintenance Download our white paper to learn more."
Tags : packet networking, packet networking portfolio, packet optical hie network, packet-optical transport, patient data security, private and hybrid cloud, private optical network for healthcare, private optical network for hospitals, rapidly growing bandwidth, real-time telesurgery video and data, remote imaging and diagnosis, simplify healthcare network operations, telehealth and telemedicine, telesurgery and video diagnosis, transfer massive imaging files, transmitting full-body mri images, transmitting genome data, transport network equipment, value-based care models, wan and lan convergence reduces
     Ciena
By: Dassault Systèmes     Published Date: Aug 08, 2017
Learn how Dassault Systèmes Program Management solutions can help Aerospace and Aviation companies reliably execute on their proposed plans to meet their design, cost and schedule targets. Read this whitepaper and gain insights into new practices in four key areas: • Consolidate all program data in one central data repository to use institutional knowledge and improve design analysis and decision support • Data reuse between organizations to avoid duplicate efforts and misunderstandings • Real-time reporting automation of key data to assess program performance and anticipate risks and opportunities • Program control with real-time, up-to-date, detailed and verifiable information while preserving program and partner IP
Tags : dassault, systemes, program management, aerospace and aviation, program data, automation
     Dassault Systèmes
By: CA Technologies EMEA     Published Date: May 25, 2018
As cycles accelerate and timelines shorten, projects are being recognized—by necessity— as the delivery arm for strategy. In this environment, anything less than real-time access to real-time project data is too slow, because businesses need to know where they’re heading, not just where they’ve been. CA Project & Portfolio Management (CA PPM 15.3) has added new capabilities to support project, financial and resource management across individual initiatives and entire portfolios. We’ve also built new, embedded BI capabilities that make powerful data and insights more accessible to everyone.
Tags : budgets, project, cash, flows, finance, project, management
     CA Technologies EMEA
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