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By: NetApp     Published Date: Dec 13, 2013
Despite the hype, Big Data has introduced critical challenges for modern organizations – and unprepared organizations risk getting buried beneath an avalanche of information. In this informative webcast, join industry and business intelligence (BI) expert Wayne Eckerson, as he tackles the challenges of Big Data. Uncover practical tips and tactics for driving value with your Big Data platform – watch now to learn more.
Tags : big data problems, how to get the most from your big data
     NetApp
By: TIBCO     Published Date: Nov 09, 2015
As one of the most exciting and widely adopted open-source projects, Apache Spark in-memory clusters are driving new opportunities for application development as well as increased intake of IT infrastructure. Apache Spark is now the most active Apache project, with more than 600 contributions being made in the last 12 months by more than 200 organizations. A new survey conducted by Databricks—of 1,417 IT professionals working with Apache Spark finds that high-performance analytics applications that can work with big data are driving a large proportion of that demand. Apache Spark is now being used to aggregate multiple types of data in-memory versus only pulling data from Hadoop. For solution providers, the Apache Spark technology stack is a significant player because it’s one of the core technologies used to modernize data warehouses, a huge segment of the IT industry that accounts for multiple billions in revenue. Spark holds much promise for the future—with data lakes—a storage repo
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     TIBCO
By: GridGain     Published Date: Sep 24, 2014
In-memory computing (IMC) is an emerging field of importance in the big data industry. It is a quickly evolving technology, seen by many as an effective way to address the proverbial 3 V’s of big data—volume, velocity, and variety. Big data requires ever more powerful means to process and analyze growing stores of data, being collected at more rapid rates, and with increasing diversity in the types of data being sought—both structured and unstructured. In-memory computing’s rapid rise in the marketplace has the big data community on alert. In fact, Gartner picked in-memory computing as one of the Top Ten Strategic Initiatives.
Tags : gridgain, in memory computing, big data industry, 3v's of big data-volume
     GridGain
By: Intel     Published Date: Aug 06, 2014
Powering Big Data Workloads with Intel® Enterprise Edition for Lustre* software The Intel® portfolio for high-performance computing provides the following technology solutions: • Compute - The Intel® Xeon processor E7 family provides a leap forward for every discipline that depends on HPC, with industry-leading performance and improved performance per watt. Add Intel® Xeon Phi coprocessors to your clusters and workstations to increase performance for highly parallel applications and code segments. Each coprocessor can add over a teraflops of performance and is compatible with software written for the Intel® Xeon processor E7 family. You don’t need to rewrite code or master new development tools. • Storage - High performance, highly scalable storage solutions with Intel® Lustre and Intel® Xeon Processor E7 based storage systems for centralized storage. Reliable and responsive local storage with Intel® Solid State Drives. • Networking - Intel® True Scale Fabric and Networking technologies – Built for HPC to deliver fast message rates and low latency. • Software and Tools: A broad range of software and tools to optimize and parallelize your software and clusters. Further, Intel Enterprise Edition for Lustre software is backed by Intel, the recognized technical support providers for Lustre, and includes 24/7 service level agreement (SLA) coverage.
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     Intel
By: Dell and Intel®     Published Date: Apr 02, 2015
In this Guide we have delivered the case for the benefits of big data technology applied to the needs of the manufacturing industry. In demonstrating the value of big data, we included: • An overview of how manufacturing can benefit from the big data technology stack • An overview of how manufacturing can benefit from the big data technology stack • A high-level view of common big data pain points for manufacturers • A detailed analysis of big data technology for manufacturers • A view as to how manufacturers are going about big data adoption • A proven case study with: Omneo • Dell PowerEdge servers with Intel® Xeon® processors
Tags : dell, intel, big data, manufacturing, technology stack, pain points, big data adoption, omneo
     Dell and Intel®
By: GridGain     Published Date: Mar 10, 2015
Software as a Service (SaaS) is a software distribution model in which applications are hosted by a vendor or service provider and made available to customers over the Internet. Instead of companies installing software on their own servers, known as the on premises distribution model, application software providers host the software in the cloud and charge customers according to the time they spend using the software, or based on a monthly or annual fee. SaaS is becoming increasingly popular, and as the industry develops, more and more companies are dropping older business models in favor of this rapidly evolving methodology.
Tags : gridgain, saas, saas perfomance and scalability, in memory computing, data fabric, paas for saas, data grid, real-time streaming
     GridGain
By: Kx Systems     Published Date: Jan 16, 2015
?Kdb+ is a column-based relational database with extensive in-memory capabilities, developed and marketed by Kx Systems. Like all such products, it is especially powerful when it comes to supporting queries and analytics. However, unlike other products in this domain, kdb+ is particularly good (both in terms of performance and functionality) at processing, manipulating and analysing data (especially numeric data) in real-time, alongside the analysis of historical data. Moreover, it has extensive capabilities for supporting timeseries data. For these reasons Kx Systems has historically targeted the financial industry for trading analytics and black box trading based on real-time and historic data, as well as realtime risk assessment; applications which are particularly demanding in their performance requirements. The company has had significant success in this market with over a hundred major financial institutions and hedge funds deploying its technology. In this paper, however, we wa
Tags : kx systems, kdb+, relational database
     Kx Systems
By: RMS     Published Date: Jul 25, 2019
The insurance industry boasts some of the most sophisticated modeling capabilities in the world. And yet the average property underwriter does not have access to the kind of predictive tools that carriers use at a portfolio level to manage risk aggregation, streamline reinsurance buying and optimize capitalization.
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     RMS
By: MediaPass     Published Date: Apr 02, 2013
Read this paper to understand 3 sudden industry shifts that affect your site’s ability to survive in a changing landscape.
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     MediaPass
By: Blackberry     Published Date: Jul 12, 2019
Law firms have received two dramatic wake-up calls about the vital importance of data security in the last two years. First, there was the leak of 11.5 million documents from offshore law firm Mossack Fonseca, known as the Panama Papers, which became public in 2016.1 Then came the massive cyberattack on prominent global law firm DLA Piper in the summer of 2017.2 As we will explore, despite the industry’s aversion to media coverage of such attacks, less-visible breaches involving the legal profession are being reported worldwide in ever-increasing numbers.
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     Blackberry
By: Schneider Electric     Published Date: Jul 01, 2019
: Are you among the two thirds of industrial companies who are currently, or planning to, implement industrial transformation? A new report by LNS Research finds that there is quite a wide gap in how the companies perceived as industrial transformation leaders develop their transformation project strategies compared with companies perceived as followers. Don’t get left behind. Discover the recommendations from LNS Research on how to ensure the success of your digital transformation initiatives.
Tags : digital, industry 4.0, automation, plant
     Schneider Electric
By: Schneider Electric     Published Date: Jul 01, 2019
How digital transformation is blending information and operational technology for asset performance improvements that will reduce costs, optimize efficiency, and improve conservation.
Tags : asset performance, water, augmented reality, pumps
     Schneider Electric
By: Schneider Electric     Published Date: Jul 01, 2019
This eGuide examines how the IIoT, big data, and augmented reality are enabling a new era of cost reduction, asset management, and worker safety in water and wastewater processing.
Tags : augmented reality, big data, water
     Schneider Electric
By: Schneider Electric     Published Date: Jul 01, 2019
As water is increasingly being recognized as a high-value commodity, aging assets present a major threat to organizations that treat and deliver it. Improving asset performance is one of the most effective strategies water and wastewater plants and networks can implement to reduce costs and protect quality.
Tags : water, plant, pump
     Schneider Electric
By: Pure Storage     Published Date: Sep 13, 2019
"Purchasers of enterprise storage have historically dealt with an upgrade cycle that was expensive, disruptive, inherently risky, and time-consuming and occurred roughly every three to five years. In 2015, Pure Storage challenged customer preconceptions about the enterprise storage upgrade cycle with the announcement of its Evergreen Storage. And Pure has continued to enhance Evergreen Storage over the years with new features that have increased its already extremely high customer experience performance. This IDC white paper assesses the impact Evergreen Storage has had on the enterprise storage industry and discusses the technical, financial, and business implications of the program from a customer point of view."
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     Pure Storage
By: Juniper Networks     Published Date: Jul 31, 2019
Cybercrime has rapidly evolved, and not for the better. What began in the 1990s as innocent pranks designed to uncover holes in Windows servers and other platforms soon led to hacker Kevin Mitnick causing millions of dollars in malicious damages, landing him in prison for half a decade and raising the awareness of cybersecurity enough to jump-start a multimillion-dollar antivirus industry. Then came the script kiddies, unskilled hackers who used malicious code written by others to wreak havoc, often just for bragging rights. If only that were still the case.
Tags : application management, application performance, network infrastructure, network management, network security
     Juniper Networks
By: Experian     Published Date: Aug 29, 2019
Card-not-present fraud is estimated to reach $19.3 billion by 2022. Online payment fraud will grow 13.7% from 2017-2022 – Juniper Dive deeper into these data points with a focus on assessing the impact, challenges and opportunities presented by emerging payment mechanisms and regulation, as well as an in-depth assessment of sector-specific trends and outlook in regard to digital fraud. It provides essential reading for those wishing to understand where the key strategic focus should lie and how market forces are affecting the industry.
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     Experian
By: HERE Technologies     Published Date: Aug 28, 2019
Mapping, tracking, positioning and real-time data arekey to supporting defense and intelligence initiatives. Governments and agencies need location data they can trust to track and adjust fixed and mobile resources to address rapidly changing events and circumstances. With Ovum's Location Platform Index: Mapping and Navigation, agencies can assess location platform industry leaders and identify the platform that best meets their product development demands. This year, HERE Technologies cemented its role as the industry leader, earning the highest ranking, and besting Google, for the second time in a row. Download your free report to learn: The relative strengths and weaknesses of each vendor, including data, enablers and features Vendor strategies to keep up with changes in technologies and trends The specific workings of the location platform market, and to better understand what constitutes a healthy location platform and which provider offers the correct portfolio and the necess
Tags : data, platform, mapping, developers, index, vendors, capabilities, maps
     HERE Technologies
By: Cisco Umbrella EMEA     Published Date: Aug 08, 2019
"Malicious cryptomining lets cybercriminals profit at your organization’s expense. No industry is safe from malicious cryptomining - a browser or software-based threat that enables attackers to secretly use an organization's computing power to mine digital currency. This fast-growing threat can lead to degraded system performance, soaring electricity usage, regulatory problems, and vulnerability to future attacks. View our infographic to find out who they’re targeting and how to protect your network. "
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     Cisco Umbrella EMEA
By: Cisco Umbrella EMEA     Published Date: Aug 08, 2019
Employees in every industry are expected to work quickly, but they’re often frustrated by company-issued apps. As a result, they’re downloading personal apps to get the job done instead of using secure, enterprise-approved tools. It’s called shadow IT, and it’s gaining traction fast.
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     Cisco Umbrella EMEA
By: TIBCO Software     Published Date: Jul 22, 2019
Connected Intelligence in Insurance Insurance as we know it is transforming dramatically, thanks to capabilities brought about by new technologies such as machine learning and artificial intelligence (AI). Download this IDC Analyst Infobrief to learn about how the new breed of insurers are becoming more personalized, more predictive, and more real-time than ever. What you will learn: The insurance industry's global digital trends, supported by data and analysis What capabilities will make the insurers of the future become disruptors in their industry Notable leaders based on IDC Financial Insights research and their respective use cases Essential guidance from IDC
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     TIBCO Software
By: Tricentis     Published Date: Aug 19, 2019
Think back just 5 years ago. In 2014… • The seminal DevOps book—Gene Kim’s The Phoenix Project—was one year old • Gartner predicted that 25% of Global 2000 enterprises would adopt DevOps to some extent by 20161 • "Continuous Testing” just started appearing in industry publications and conferences2 • Many of today’s popular test frameworks were brand new—or not yet released • The term “microservices” was just entering our lexicon • QC/UFT and ALM were still sold by HP (not even HPE yet) • Only 30% of enterprise software testing was performed fully “in house”3 • There was no GDPR restricting the use of production data for software testing • Packaged apps were typically updated on an annual or semi-annual basis and modern platforms like SAP S/4HANA and Salesforce Lightning hadn’t even been announced Times have changed—a lot. If the way that you’re testing hasn’t already transformed dramatically, it will soon. And the pace and scope of disruption will continue to escalate throughout the fo
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     Tricentis
By: TIBCO Software     Published Date: Jul 22, 2019
AA Ireland specializes in home, motor, and travel insurance and provides emergency rescue for people in their homes and on the road, attending to over 140,000 car break downs every year, 80% of which are fixed on-the-spot. “In each of the last five years, the industry lost a quarter billion in motor insurance," says Colm Carey, chief analytics officer. "So, there's a huge push for new data, models, ways to segment and pick profitable customer types—and get a lot more sophisticated. Our goal is to optimize pricing, understand the types of customers we're bringing, and the types we're trying to attract. We would like to tie that across the business. Marketing will run a campaign, trying to attract a lot of customers, but maybe they're not the right type. "We wanted to step away from industry standard software and go with something that was powerful and future-proof. In 2016, we had an opportunity to analyze all software. We chose the TIBCO® System of Insight with TIBCO BusinessWorks™ i
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     TIBCO Software
By: TIBCO Software     Published Date: Jul 22, 2019
Over the past decade there has been a major transformation in the manufacturing industry. Data has enabled a paradigm shift, with real-time IoT sensor data and machine learning algorithms delivering new insights for process and product optimization. Smart Manufacturing, also known as Industry 4.0, has laid the groundwork for the next industrial revolution. Using a smart factory system, all relevant data is aggregated, analyzed, and acted upon. We call this Manufacturing Intelligence, which gives decision-makers a competitive edge to: Digitize the business Optimize costs Accelerate innovation Survive digital disruption Watch this webinar to understand use cases and their underlying technology that helped our customers become smart manufacturers.
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     TIBCO Software
By: TIBCO Software     Published Date: Jul 22, 2019
The Insurance industry continues to undergo significant transformation, with new technologies, business models, and competitors entering the market at an increasing rate. To be successful in attracting and retaining the most valuable customers, insurance companies must innovate and increase the speed at which they respond to customer demands. Traditionally, the insurance software market was dominated by a handful of specialist vendors with products that were initially expensive, difficult to deploy, costly to maintain, and did not provide the speed needed for today’s market. Now there has been a shift away from these “black box” applications to platforms that allow insurers to make their algorithmic IP available to business users, allowing much faster response to business demands. The algorithmic platform approach also comes at a fraction of the cost of black box solutions, while delivering advanced analytical techniques like Machine Learning and Artificial Intelligence (AI).
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     TIBCO Software
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