Data and analytics have become an indispensable part of gaining and keeping a competitive edge. But many legacy data warehouses introduce a new challenge for organizations trying to manage large data sets: only a fraction of their data is ever made available for analysis. We call this the “dark data” problem: companies know there is value in the data they collected, but their existing data warehouse is too complex, too slow, and just too expensive to use. A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights.
Key elements of a modern data warehouse:
• Data ingestion: take advantage of relational, non-relational, and streaming data sources
• Federated q
THE LAMBDA ARCHITECTURE SIMPLIFIED Your Guide to Building a Scalable Data Architecture for Real-Time Workloads
- What defines the Lambda Architecture, broken down by each layer
- How to simplify the Lambda Architecture by consolidating the speed layer and batch layer into one system
- How to implement a scalable Lambda Architecture that accommodates streaming and immutable data
- How companies like Comcast and Tapjoy use Lambda Architectures in production
It’s a transformative time in government information technology. Public sector organizations are moving to the cloud. At the same time, seemingly everything that can be virtualized is quickly heading in that direction. Immersive Web applications are enabling next-generation services, including innovative mobile apps that give agency staff members and constituents anytime access to valuable resources. Video seems to be everywhere, with one research firm estimating that video streaming accounts for more than 53 percent of all downstream traffic in North America. In this white paper from the Center for Digital Government (CDG), we break down what every IT leader needs to know about today’s networking to ensure project success.
Traditional data processing infrastructures—especially those that support applications—weren’t designed for our mobile, streaming, and online world. However, some organizations today are building real-time data pipelines and using machine learning to improve active operations.
Learn how to make sense of every format of log data, from security to infrastructure and application monitoring, with IT Operational Analytics--enabling you to reduce operational risks and quickly adapt to changing business conditions.
Published By: Panasonic
Published Date: Jan 10, 2019
Every day, Media & Entertainment companies face new challenges on all fronts, from traditional cable and broadcast to streaming services like Netflix and Hulu. Meanwhile, creators of live experiences struggle to convince fans to turn from their devices and see the real thing. This presents unique challenges to decision makers struggling to determine the most opportune time to adopt the technologies that can address these threats and trigger growth. This report looks at the trends, attitudes and behaviors that are determining the present and future of Media & Entertainment.
"The Industrial Internet of Things (IIoT) is flooding today’s industrial sector with data. Information is streaming in from many sources — equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights.
Online video continues to be one of the hottest opportunities for marketing—if you know exactly where to focus your efforts. Our U.S. Digital Video Benchmark can help. Download it now to learn about the rise of video streaming on smartphones, the explosion of TV Everywhere, and the opportunities you should seize in 2014.
There are a number of factors contributing to the growing popularity of streaming live events or offering content on demand, from anywhere, any time, on any device. Live streaming major sporting events such as the Superbowl or the Olympics is now a viable alternative to broadcast TV. And as Limelight’s 2017 State of Online Video report reveals, the average number of online viewing hours is almost six per week. However, as viewer expectations continue to rise, keeping audiences happy and engaged isn’t easy.
In this white paper we discuss current trends and what to expect in 2018. We examine the role Content Delivery Networks (CDN) can play in optimizing the delivery of online video content at global scale, and the technologies available to ensure the lowest latency delivery possible.
Why sports leagues are enthusiastic about live streaming their events
How content distributers can differentiate their services
The apparent challenges of delivering live and on demand v
Can your business afford to lose $9,000 per minute?
According to the Ponemon Institute $9,000 is the average cost of an unplanned outage. In some cases the costs are much higher. The catalogue of cloud outages over recent years is well publicized and reads like a “who’s who” of the technology industry. It seems no one is immune.
But when it comes to delivering digital content, downtime isn’t the only concern. Today a poor user experience can be just as damaging as an outage. According to Limelight research, 78% of people will stop watching an online video after it buffers three times, and the majority of people will not wait more than 5 seconds for a website to load.
Organizations looking to deliver great digital experiences for their customers often choose to deliver that content using Content Delivery Networks (CDNs). Using multiple CDNs to deliver these digital content experiences promises even greater levels of availability and performance. But it brings with it a host of questi
Your online audience expects fast, flawless, secure experiences on any device in any location, every time. But whether you are delivering videos, your website, music, software or games, ensuring engaging online experiences from an increasing variety of devices around the world is a huge challenge.
Content delivery networks (CDNs) can significantly improve the user experience of your online audiences. But not all CDNs deliver the same level of service. Dos and Don’ts of Evaluating and Deploying a CDN provides tips on how to determine what is most important to your organization and how to choose a CDN that meets your needs.
Download this guide to learn:
The four major performance factors that can affect user experience
Why speed alone isn't an accurate measure of performance
How a content audit can identify performance bottlenecks
The role content storage can play in reducing costs and latency
How to decide what features are most important to your business
Get it now and see how the usage of social streaming apps is spiking. Explore metrics to help you decide whether to go paid or organic on Facebook. Discover which regions are heating up in search engine marketing. And so much more.
Published By: SnapLogic
Published Date: Aug 17, 2015
This report summarizes the changes that are occurring, new and emerging patterns of data integration, as well as data integration technology that you can buy today that lives up to these new expectation
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 yesterday’s 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
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.
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.
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.
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 it’s continuing to evolve and how SAS can help organizations keep their approach to DI current.
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.
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.
There is a lot of discussion in the press about Big Data. Big Data is traditionally defined in terms of the three V’s 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.