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Published By: AWS     Published Date: Apr 27, 2018
Until recently, businesses that were seeking information about their customers, products, or applications, in real time, were challenged to do so. Streaming data, such as website clickstreams, application logs, and IoT device telemetry, could be ingested but not analyzed in real time for any kind of immediate action. For years, analytics were understood to be a snapshot of the past, but never a window into the present. Reports could show us yesterdays sales figures, but not what customers are buying right now. Then, along came the cloud. With the emergence of cloud computing, and new technologies leveraging its inherent scalability and agility, streaming data can now be processed in memory, and more significantly, analyzed as it arrives, in real time. Millions to hundreds of millions of events (such as video streams or application alerts) can be collected and analyzed per hour to deliver insights that can be acted upon in an instant. From financial services to manufacturing, this rev
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AWS
Published By: MarkLogic     Published Date: Nov 30, 2017
The OPDBMS market in 2017 brings cloud and fully managed options center stage for execution. Market-defining vision includes features for machine learning, serverless scenarios and streaming integration. Data and analytics leaders must balance current and future needs against this market landscape.
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MarkLogic
Published By: Rovi     Published Date: Apr 08, 2013
An Introduction to Rovi Insight Series Volume 1
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rovi, over-the-top, ott, entertainment metadata, digital media, digital discovery, entertainment discovery, recommendations engine
    
Rovi
Published By: Rovi     Published Date: Apr 08, 2013
An introduction to Rovi Insights series Mobile World Congress 2013 Edition.
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rovi, mobile, multi-screen, high efficiency video coding, hevc, entertainment metadata, digital media, digital discovery
    
Rovi
Published By: BitGravity     Published Date: Apr 22, 2008
This white paper outlines the limitations of proxy cache networks, presents the attributes and benefits of an ideal solution, and suggests that BitGravity has designed a content delivery system that addresses the needs in marketplace at an affordable price.
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cdn, cdns, content delivery, content delivery network, content delivery networks, akamai, limelight, panther express
    
BitGravity
Published By: Human Capital Institute     Published Date: May 16, 2014
Your employees are also online consumers of information and entertainment. You can maximize enterprise learning by applying practices from the new generation of information delivery, while keeping the best of the old-school approaches.
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hci, human capital institute, enterprise learning, information delivery, corporate learning, strategic learning, center for creative leadership, employee development
    
Human Capital Institute
Published By: Human Capital Institute     Published Date: May 16, 2014
Learn how to better prepare your HR leaders for corporate training and see what the 3 most significant developing trends are for HR leaders involved in training and professional development.
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hci, human capital institute, enterprise learning, information delivery, corporate learning, strategic learning, center for creative leadership, employee development
    
Human Capital Institute
Published By: Human Capital Institute     Published Date: May 16, 2014
Learn how the landscape of information delivery has changed and how to keep your Enterprise HR leaders ahead of the game in order to reach the demands of your organization and clients.
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hci, human capital institute, enterprise learning, information delivery, corporate learning, strategic learning, center for creative leadership, employee development
    
Human Capital Institute
Published By: IBM     Published Date: Jul 01, 2015
The impact of streaming analytics and leveraging expertise in the healthcare sector.
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data insights, healthcare data, healthcare analytics, unstructured content analytics, computation-intensive analytics, ibm big data, enterprise-class data management
    
IBM
Published By: SAS     Published Date: Jun 06, 2018
Data integration (DI) may be an old technology, but it is far from extinct. Today, rather than being done on a batch basis with internal data, DI has evolved to a point where it needs to be implicit in everyday business operations. Big data of many types, and from vast sources like the Internet of Things joins with the rapid growth of emerging technologies to extend beyond the reach of traditional data management software. To stay relevant, data integration needs to work with both indigenous and exogenous sources while operating at different latencies, from real time to streaming. This paper examines how data integration has gotten to this point, how its continuing to evolve and how SAS can help organizations keep their approach to DI current.
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SAS
Published By: Exablox     Published Date: Jan 27, 2015
As your organization grows, you need the ability to quickly and non-disruptively scale storage capacity to meet the increasing amounts of high-density graphic images, streaming media and other unstructured data. However, when using traditional storage methods, it can be complicated and expensive for you to scale capacity to meet your needs. In this second of a series of informative e-books from Exablox, we take a look at the di?iculties of traditional storage approaches, and o?er simple, practical ways to make your data storage easier to scale.
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enterprise storage, unstructured data, data mangement, data recovery, data availability, storage performance, exablox, oneblox
    
Exablox
Published By: Brandwatch     Published Date: Dec 01, 2015
Download this Brandwatch report to learn how social media and streaming services are changing the landscape of television networks, and how social media not only provides a platform to directly link audiences to online content but it is also the preferred venue for generating conversation or public interest in entertainment.
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social media, social intelligence, social media monitoring, social listening, social insights, television, tv networks, television networks
    
Brandwatch
Published By: IBM     Published Date: Aug 05, 2014
There is a lot of discussion in the press about Big Data. Big Data is traditionally defined in terms of the three Vs of Volume, Velocity, and Variety. In other words, Big Data is often characterized as high-volume, streaming, and including semi-structured and unstructured formats. Healthcare organizations have produced enormous volumes of unstructured data, such as the notes by physicians and nurses in electronic medical records (EMRs). In addition, healthcare organizations produce streaming data, such as from patient monitoring devices. Now, thanks to emerging technologies such as Hadoop and streams, healthcare organizations are in a position to harness this Big Data to reduce costs and improve patient outcomes. However, this Big Data has profound implications from an Information Governance perspective. In this white paper, we discuss Big Data Governance from the standpoint of three case studies.
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ibm, data, big data, information, healthcare, governance, technology, it management
    
IBM
Published By: IBM     Published Date: Jan 13, 2016
IBM InfoSphere Information Server connects to many new at rest and streaming big data sources, scales natively on Hadoop using partition and pipeline parallelism, automates data profiling, provides a business glossary, and an information catalog, plus also supports IT.
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ibm, data integration, infosphere, information server, partition, data profiling, knowledge management, data management
    
IBM
Published By: Gomez IT     Published Date: Dec 19, 2011
The Gomez Application Performance Management (APM) platform is the industry's leading solution for managing and optimizing the performance, availability and quality of web, non-web, mobile, streaming and cloud applications.
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gomez, technology, performance management, web, mobile, cloud, performance testing, project management
    
Gomez IT
Published By: SAS     Published Date: Aug 28, 2018
Data integration (DI) may be an old technology, but it is far from extinct. Today, rather than being done on a batch basis with internal data, DI has evolved to a point where it needs to be implicit in everyday business operations. Big data of many types, and from vast sources like the Internet of Things joins with the rapid growth of emerging technologies to extend beyond the reach of traditional data management software. To stay relevant, data integration needs to work with both indigenous and exogenous sources while operating at different latencies, from real time to streaming. This paper examines how data integration has gotten to this point, how its continuing to evolve and how SAS can help organizations keep their approach to DI current.
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SAS
Published By: Phunware     Published Date: Aug 11, 2014
Mobile devices are streaming millions of location data points in real-time. These data points are extremely valuable in their own right because the very apps that help generate data can also be used to act on insights and deliver relevant messages. Download these insights and examples to turn mobile data into actions.
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phunware, mobile, physical marketing analytics, location analytics, business intelligence, space management, customer service, crm
    
Phunware
Published By: Impetus     Published Date: Mar 15, 2016
Streaming analytics platforms provide businesses a method for extracting strategic value from data-in-motion in a manner similar to how traditional analytics tools operate on data-at rest.
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impetus, guide to stream analytics, real time streaming analytics, streaming analytics, real time analytics, big data analytics, monitoring, network architecture
    
Impetus
Published By: IBM     Published Date: Jul 07, 2015
In this book you will also learn how cognitive computing systems, like IBM Watson, fit into the Big Data world. Learn about the concept of data-in-motion and InfoSphere Streams, the worlds fastest and most flexible platform for streaming data.
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big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure, reliability, data management
    
IBM
Published By: Cisco     Published Date: Nov 18, 2015
Historically, the speed of a wired connection at the access edge has always been faster than that of a wireless connection. This means workers had to choose between the performance of wired connectivity and the convenience of a wireless connection. Consequently, workers often had to modify the way they worked first, finding a wired port to use for high-bandwidth applications, such as video or streaming media, and then shifting to wireless connections when the need to be mobile was more important than having the performance of wired. Today, though, the industry sits on the precipice of the biggest innovation in the history of wireless LAN: the release of 802.11ac Wave 2. Wave 1 of 802.11ac brought network speeds that were 1.3 Gbps (Gigabits per second), which is on par with wired networking speeds. However, 802.11ac Wave 2 shatters the gigabit barrier with speeds of up to 6.8 Gbps.
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wifi, lan, infrastructure, poe, network, networking, wireless
    
Cisco
Published By: Cisco     Published Date: Apr 18, 2016
Ooyala manages rapid growth with Cisco Metapod to enable efficient, streaming HD video services.
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Cisco
Published By: APTX     Published Date: Nov 05, 2009
This paper discusses research undertaken to lower the complexity of existing high-quality sub-band ADPCM coding schemes to better satisfy these conflicting criteria.
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aptx, sub-band adpcm coding, mobile, compression, wireless audio streaming, filter bank, stereo intensity, wireless communications
    
APTX
Published By: APTX     Published Date: Nov 05, 2009
Viable distribution of Multi-channel Audio-over-IP for Live and Interactive "Voice Talent" based Gaming using High-quality, Low-latency Audio Codec technology.
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aptx, audio-over-ip, voice talent, interactive gaming, audio codec, compression, ip network, bandwidth
    
APTX
Published By: SAS     Published Date: Apr 25, 2017
If youre in the data world, you know its full of discord. Multiple data sources, inconsistent standards and definitions, inaccurate reports and a lack of governance are enough to derail any organization. Whats an enterprise architect to do? With the right data governance and master data management (MDM) solution, you can set and enforce policies and establish a consistent view of your data without micromanaging it. You can eliminate duplicate and inconsistent data. You can combine traditional data and new big data sources like streaming data from the IoT into one harmonious view. Read this e-book for expert advice and case studies that will show you new ways to manage your big data and make sure everyones on the same page.
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SAS
Published By: SAS     Published Date: Apr 25, 2017
Today, data is constantly flowing in and out of organizations from electrical and mechanical sensors, RFID tags, smart meters, scanners, mobile devices, vehicles, live social media, machines and other objects. Did you know that a modern plane with more than 10,000 sensors just in the wings is expected to generate more than 7 terabytes a day? And Bain predicts that by 2020 annual revenues could exceed $470 billion for the internet of things (IoT) vendors selling hardware, software and comprehensive solutions. Analysts believe that all of this data will drive a new type of industrial revolution one thats driven by highly accurate, real-time analysis, alerts and actions. Increasingly, machines will automate decisions and simply notify humans with instructions. Consider the promise of the IoT, where any object can be connected to the internet and continuously send and receive data. Gartner says that by 2020, 21 billion IoT devices will be in use worldwide.
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SAS
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