big ip

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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: 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: Aug 24, 2015
Business need: Merkle needed a scalable, cost-effective way to capture and analyze large amounts of structured and unstructured consumer data for use in developing better marketing campaigns for clients. Solution: The company deployed a Dell and HadoopTM cluster based on Dell and Intel® technologies to support a new big data insight solution that gives clients a unified view of customer data. Benefits: [bullets for the below points] • Partnership with Dell and Intel® leads to new big data solution • Cluster supports the Foundational Marketing Platform, a new data insight solution • Merkle can find patterns in big data and create analytical models that anticipate consumer behavior • Organization cuts costs by 60 percent and boosts processing speeds by 10 times • Solution provides scalability and enables innovation
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     Dell and Intel®
By: Dell and Intel®     Published Date: Sep 06, 2015
In conclusion, the retail experience has changed dramatically in recent years as there has been a power shift over to consumers. Shoppers can easily find and compare products from an array of devices, even while walking through a store. They can share their opinions about retailers and products through social media and influence other prospective customers. To compete in this new multi-channel environment, we’ve seen in this guide how retailers have to adopt new and innovative strategies to attract and retain customers. Big data technologies, specifically Hadoop, enable retailers to connect with customers through multiple channels at an entirely new level by harnessing the vast volumes of new data available today. Hadoop helps retailers store, transform, integrate and analyze a wide variety of online and offline customer data—POS transactions, e-commerce transactions, clickstream data, email, social media, sensor data and call center records—all in one central repository. Retailers can
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     Dell and Intel®
By: Cask     Published Date: Jun 28, 2016
A recent Gartner survey on Hadoop cited the two biggest challenges in working with Hadoop: “Skills gaps continue to be a major adoption inhibitor for 57% of respondents, while deciding how to get value from Hadoop was cited by 49% of respondents.” Cask is the company that makes building and deploying big data apps easy, allowing for 5 times faster time to value. To find out more, read about Cask Hydrator, a self-service, open source framework that lets data scientists easily develop and operate data pipelines using a graphical interface.
Tags : cask hydrator, hadoop, gartner survey, self-service data lakes
     Cask
By: Revolution Analytics     Published Date: May 09, 2014
As the primary facilitator of data science and big data, machine learning has garnered much interest by a broad range of industries as a way to increase value of enterprise data assets. Through techniques of supervised and unsupervised statistical learning, organizations can make important predictions and discover previously unknown knowledge to provide actionable business intelligence. In this guide, we’ll examine the principles underlying machine learning based on the R statistical environment. We’ll explore machine learning with R from the open source R perspective as well as the more robust commercial perspective using Revolution Analytics Enterprise (RRE) for big data deployments.
Tags : revolution analytics, data science, big data, machine learning
     Revolution Analytics
By: Infinidat EMEA     Published Date: May 14, 2019
Infinidat® enterprise storage solutions are based upon the unique and patented Infinidat storage architecture—A fully abstracted set of Software-Defined Storage (SDS) functions integrated with the best-of-breed off-the-shelf commodity hardware. Infinidat’s software-focused architecture, an evolution and revolution in data management design over 30 years in the making, solves the conflicting requirements of bigger, faster, and less expensive. This paper discusses the technology that enables Infinidat to be the only enterprise storage provider that achieves multi-petabyte capacity with faster than all-flash performance (over 1.3M IOPS at microsecond latency) and an unprecedented seven-nines availability, all at the lowest Total Cost of Ownership (TCO).
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     Infinidat EMEA
By: Rackspace     Published Date: Nov 06, 2019
Australian businesses place the highest importance on improving productivity and business resilience. But there’s a conflict – if businesses allow employees and third parties to access data off-site, they’ve opened themselves up to one of the biggest security threats there are. So, is it a case of innovation or cybersecurity, or both? Here’s a tip: Growth, innovation and security should all be part of one conversation. Rackspace will help you uncover more about the contradiction within Australian businesses and most importantly, how to solve it.
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     Rackspace
By: DRIP     Published Date: Aug 23, 2019
The stretch from Thanksgiving Day to Cyber Monday is an online shopping free-for-all, but is your ecommerce store making as much money as it could on the biggest sales days of the year? This quick-look guide shows online store owners how to make more this holiday season. Your profits go up when the middleman goes out—so say “goodbye” to Amazon and “hello” to Drip as you cash in on Cyber Week.
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     DRIP
By: Wheelhouse Enterprises     Published Date: Jul 14, 2010
Quickly see differences between brands like Avaya, Mitel, Cisco, ShoreTel, 8x8, Panasonic, etc and compare over 94 phone systems by 52 brands for small to big business. Our latest Spring 2010 edition of the chart also compares PBX and Business VoIP systems side by side so you can make an educated comparison of your options. This analysis is prepared in an easy to use Excel spreadsheet so you can edit and add information to suit your analysis and presentation needs.
Tags : compare, compare business products, wheelhouse, avaya, mitel, cisco, shoretel, 8x8
     Wheelhouse Enterprises
By: SAP     Published Date: Mar 09, 2017
Learn how CIOs can set up a system infrastructure for their business to get the best out of Big Data. Explore what the SAP HANA platform can do, how it integrates with Hadoop and related technologies, and the opportunities it offers to simplify your system landscape and significantly reduce cost of ownership.
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     SAP
By: Zaloni     Published Date: Apr 23, 2019
Although data and analytics are highlighted throughout the popular press as well as in trade publications, too many managers think the value of this data processing is limited to a few numerically intensive fields such as science and finance. In fact, big data and the insights that emerge from analyzing it will transform every industry, from “precision farming” to manufacturing and construction. Governments must also be alert to the value of data and analytics as the enabler for smart cities. Institutions that master available data will leap ahead of their less statistically adept competitors through many advantages: finding hidden opportunities for efficiency, using data to become more responsive to clients, and developing entirely new and unanticipated product lines. The average time spent by most companies on the S&P 500 Index has decreased from an average of 60 to 70 years to only 22 years. There are winners and losers in the changes that come with the evolution of both technology
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     Zaloni
By: Box     Published Date: Jun 22, 2018
• Moving from legacy to cloud infrastructure is a huge win for business, but the process requires a fundamental shift in organizational culture and business processes both inside and outside IT. In fact, managing this change may be the biggest challenge your company faces when moving to the cloud, unless you're equipped with the resources that make for a simple, successful transition. • Here's our tried-and-true 3-step approach proving that change doesn't have to be hard. Download now to start your easy, secure and efficient move to the cloud.
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     Box
By: SAP     Published Date: May 18, 2014
Leading companies and technology providers are rethinking the fundamental model of analytics, and the contours of a new paradigm are emerging. The new generation of analytics goes beyond Big Data (information that is too large and complex to manipulate without robust software), and the traditional narrow approach of analytics which was restricted to analysing customer and financial data collected from their interactions on social media. Today companies are embracing the social revolution, using real-time technologies to unlock deep insights about customers and others and enable better-informed decisions and richer collaboration in real-time.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
     SAP
By: SAS     Published Date: Jan 17, 2018
For organizations to succeed with the onslaught of devices, sensors and tools that innovation garners, data must no longer be treated as a byproduct but instead as an asset. And data-driven innovation must start at the top. That's what Michael Schrage, Fellow at MIT Sloan School's Initiative on the Digital Economy, said during the Harvard Business Review webinar, Leadership and Big Data Innovation. Find out why data experimentation, governance and culture are part of the next leadership challenge for organizations.
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     SAS
By: Lenovo and Intel     Published Date: Jan 20, 2017
Today’s technology plays a big role in helping patients to take ownership of their health and collaborate more closely with providers to achieve better outcomes.
Tags : lenovo, patient engagement, healthcare technology
     Lenovo and Intel
By: Cisco     Published Date: Jun 21, 2016
Enterprises are leveraging advancements in what IDC calls “3rd Platform” technologies — cloud, Big Data, mobility, and social — to create new business opportunities and gain competitive advantage. These trends are putting more pressure on IT organizations to transform their datacenter operations to better support business initiatives aimed at reducing costs, increasing revenue, and strengthening customer relationships. This has driven increased demand for converged or integrated systems that provide the tools needed to reduce capital costs, improve operational efficiencies and, ultimately, increase agility within the datacenter.
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     Cisco
By: Lenovo and Intel®     Published Date: Apr 28, 2017
Involved, informed patients are better able to manage their own care. Today’s technology plays a big role in helping patients to take ownership of their health and collaborate more closely with providers to achieve better outcomes. Here are 10 tips from Lenovo Health for putting technology to work to reach your patient engagement goals: • Mobile devices, tablets, and interactive technology improve the patient experience • Healthcare facilities can remotely monitor patient progress and health post-discharge • Providers can leverage patient portals and other tools to promote population health • Ensuring patient engagement success requires effective measurement • And more... Lenovo Health provides the solutions and expertise to help healthcare organizations engage patients and achieve the vision of customized care anywhere, from hospital to home. Are you meeting your patient engagement goals? Download this checklist now.
Tags : lenovo, lenovo health, healthcare, healthcare technology, improving patient experience, remote monitoring, lenovo health solutions, customized care
     Lenovo and Intel®
By: Lenovo and Intel     Published Date: Jan 19, 2017
Today’s technology plays a big role in helping patients to take ownership of their health and collaborate more closely with providers to achieve better outcomes.
Tags : lenovo, patient engagement, healthcare technology, patient progress
     Lenovo and Intel
By: Oracle CX     Published Date: Oct 20, 2017
Security has become top of mind for CIOs, and CEOs. Encryption at rest is a piece of the solution, but not a big piece. Encryption over the network is another piece, but only a small piece. These and other pieces do not fit together well; they need to unencrypt and reencrypt the data when they move through the layers, leaving clear versions that create complex operational issues to monitor and detect intrusion. Larger-scale high-value applications requiring high security often use Oracle middleware, including Java and Oracle database. Traditional security models give the data to the processors to encrypt and unencrypt, often many times. The overhead is large, and as a result encryption is used sparingly on only a few applications. The risk to enterprises is that they may have created an illusion of security, which in reality is ripe for exploitation. The modern best-practice security model is an end-to-end encryption architecture. The application deploys application-led encryption s
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     Oracle CX
By: Dell EMC     Published Date: Oct 08, 2015
To compete in this new multi-channel environment, we’ve seen in this guide how retailers have to adopt new and innovative strategies to attract and retain customers. Big data technologies, specifically Hadoop, enable retailers to connect with customers through multiple channels at an entirely new level by harnessing the vast volumes of new data available today. Hadoop helps retailers store, transform, integrate and analyze a wide variety of online and offline customer data—POS transactions, e-commerce transactions, clickstream data, email, social media, sensor data and call center records—all in one central repository.
Tags : 
     Dell EMC
By: Cisco     Published Date: Jun 21, 2016
Enterprises are leveraging advancements in what IDC calls “3rd Platform” technologies — cloud, Big Data, mobility, and social — to create new business opportunities and gain competitive advantage. These trends are putting more pressure on IT organizations to transform their datacenter operations to better support business initiatives aimed at reducing costs, increasing revenue, and strengthening customer relationships. This has driven increased demand for converged or integrated systems that provide the tools needed to reduce capital costs, improve operational efficiencies and, ultimately, increase agility within the datacenter.
Tags : 
     Cisco
By: Dun & Bradstreet     Published Date: Mar 03, 2017
Creating predictive analytics from alternative data has become the current focus of the biggest quant trading firms in the industry The democratization of financial services data and technology, together with more intense competition, makes the needs of today’s market participants vastly different from those of previous generations. Firms must locate untapped sources of data for both public and non-public companies. This alternative data, such as payment data and other non-public information, from sources beyond the common channels, can be a predictive indicator of market performance; a difference maker in assisting firms as they develop models to evaluate their investments. By combining our unique data sets with advanced analytics, traders, analysts and managers can seek predictive signals and actionable information utilizing their own models. View our research report to learn how alternative data, our 'Information Alpha,' can help you earn differentiated investment returns.
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     Dun & Bradstreet
By: SAP     Published Date: Sep 19, 2017
In today’s digital economy, consumer products (CP) companies face pressures from all sides. Consumers wield great power based on easy access to information about products, pricing, and availability. The barriers of entry for new players with the “next big product idea” are lower than ever. At the same time, channel partners, from big retailers to Amazon, are expanding their own private-label businesses. Added to all that, tremendous volatility persists in the basic costs of doing business, from raw materials, to labor, to shipping, and beyond.
Tags : sap, 4hana, real time supply, digitized sales, software portfolio, value proposition, customer
     SAP
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