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Published By: Io-Tahoe     Published Date: Jan 15, 2019
The white paper addresses the problem of managing data in an increasingly complex, hybrid and distributed world; acknowledging that it is too great even for highly-skilled analysts and scientists to handle alone. To solve this problem, organizations should understand why a single unified product from smart data discovery to AI-driven data catalog can vastly reduce the time it takes to do the kind of analytics that are necessary for digital transformation.
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Io-Tahoe
Published By: Databricks     Published Date: Sep 13, 2018
Learn how to get started with Apache Spark™ Apache Spark™’s ability to speed analytic applications by orders of magnitude, its versatility, and ease of use are quickly winning the market. With Spark’s appeal to developers, end users, and integrators to solve complex data problems at scale, it is now the most active open source project with the big data community. With rapid adoption by enterprises across a wide range of industries, Spark has been deployed at massive scale, collectively processing multiple petabytes of data on clusters of over 8,000 nodes. If you are a developer or data scientist interested in big data, learn how Spark may be the tool for you. Databricks is happy to present this ebook as a practical introduction to Spark. Download this ebook to learn: • Spark’s basic architecture • Why Spark is a popular choice for data analytics • What tools and features are available • How to get started right away through interactive sample code
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Databricks
Published By: Cambridge Semantics     Published Date: Aug 17, 2015
As the quantity and diversity of relevant data grows within and outside of the enterprise, business users and IT are struggling to extract maximum value from this data. Current approaches, including the rigid relational data warehouse and the unwieldy Hadoop-only Data Lake, are limited in their ability to provide users and IT with the answers they need with the proper governance and security required. Read this whitepaper to learn how The Anzo Smart Data Lake from Cambridge Semantics solves these problems by disrupting the way IT and business alike manage and analyze data at enterprise scale with unprecedented flexibility, insight and speed.
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Cambridge Semantics
Published By: GBG Loqate     Published Date: Jul 09, 2015
Businesses are vulnerable when they assume that their data is accurate, because they are almost always losing money without their knowledge. When it comes to data quality, the problems that you don’t suspect are often worse and more pervasive than the ones you are aware of. Addresses are subject to their own specific set of rules. Detecting and correcting address errors is a complex problem, and one that can only be solved with specialized software.
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data, data management, data quality, loqate
    
GBG Loqate
Published By: Silwood Technology     Published Date: Mar 02, 2016
Ever since organisations started to implement packaged software solutions to solve business problems and streamline their processes there has been a need to access their data for the purposes of reporting and analytics, integration, governance, master data and more. Information Management projects such as these rely on data professionals being able to understand the underlying data models for these packages in order to be able to answer the critical question “Where’s the data?”. Without this knowledge it is impossible to ensure accuracy of data or timely delivery of projects. In addition the lack of discovery tools designed to meet this challenge has meant that performing this task has commonly been frustrating, time-consuming and fraught with risk. This white paper offers insight into why the traditional methods are not effective and how an innovative software product from Silwood Technology provides a faster and more effective approach to solving the problem.
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Silwood Technology
Published By: Dataiku     Published Date: Feb 01, 2018
A proof of concept (POC) is a popular way for businesses to evaluate the viability of a system, product, or service to ensure it meets specific needs or sets of predefined requirements. But what does running a POC mean in practice specifically for data science? POCs should prove not just that a solution solves one particular, specific problem, but that the solution in question will provide widespread value to the company: that it's capable of bringing a data-driven perspective to a range of the business's strategic objectives. Get the 7 steps to running an efficient POC in this white paper.
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Dataiku
Published By: Dataiku     Published Date: Feb 19, 2018
A proof of concept (POC) is a popular way for businesses to evaluate the viability of a system, product, or service to ensure it meets specific needs or sets of predefined requirements. But what does running a POC mean in practice specifically for data science? POCs should prove not just that a solution solves one particular, specific problem, but that the solution in question will provide widespread value to the company: that it's capable of bringing a data-driven perspective to a range of the business's strategic objectives. Get the 7 steps to running an efficient POC in this white paper.
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Dataiku
Published By: graphgrid     Published Date: Oct 02, 2018
Whether it’s for a specific application, optimizing your existing operations, or innovating new customer services, graph databases are a powerful technology that turn accessing and analyzing your data into a competitive advantage. Graph databases resolve the Big Data limitations and free up data architects and developers to build amazing solutions that predict behaviors, enable data driven decisions and make insightful recommendations. Yet just as cars aren’t functional with only engines, graph databases require surrounding capabilities including ingesting multi-source data, building data models that are unique to your business needs, ease of data interaction and visualization, seamless co-existence with legacy systems, high performance search capabilities, and integration of data analysis applications. Collectively, this comprehensive data platform turns graph capabilities into tangible insights that drive your business forward.
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graphgrid
Published By: graphgrid     Published Date: Oct 02, 2018
Whether it’s for a specific application, optimizing your existing operations, or innovating new customer services, graph databases are a powerful technology that turn accessing and analyzing your data into a competitive advantage. Graph databases resolve the Big Data limitations and free up data architects and developers to build amazing solutions that predict behaviors, enable data driven decisions and make insightful recommendations. Yet just as cars aren’t functional with only engines, graph databases require surrounding capabilities including ingesting multi-source data, building data models that are unique to your business needs, ease of data interaction and visualization, seamless co-existence with legacy systems, high performance search capabilities, and integration of data analysis applications. Collectively, this comprehensive data platform turns graph capabilities into tangible insights that drive your business forward.
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graphgrid
Published By: MarkLogic     Published Date: Apr 01, 2013
Data virtualization solves the problem of consolidating critical data scattered across silos, providing a comprehensive, actionable view of data assets. Learn how MarkLogic presents a unified view of multi-structured data across organizational silos.
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data management
    
MarkLogic
Published By: Splice Machine     Published Date: May 19, 2014
SQL-on-Hadoop solutions have become very popular recently as companies solve the data access issues with Hadoop or seek a scale-out alternative for traditional relational database management systems. However, with all of the options available, choosing which solution is right for your business can be a daunting task. This white paper discusses the options you should consider and questions to ask, including: Is it really “Real-Time”? Is it true SQL? Does it support secondary indexes? Can it efficiently handle sparse data? Can it deliver fast performance on massive joins? Read this white paper to get a better understanding of the SQL-on-Hadoop landscape and what questions you should ask to identify best solution for your business.
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white paper, splice machine, sql, hadoop, nosql, nosql white paper, hadoop white paper, dataversity
    
Splice Machine
Published By: GBG Loqate     Published Date: Jul 09, 2015
Businesses are vulnerable when they assume that their data is accurate, because they are almost always losing money without their knowledge. When it comes to data quality, the problems that you don’t suspect are often worse and more pervasive than the ones you are aware of. Addresses are subject to their own specific set of rules. Detecting and correcting address errors is a complex problem, and one that can only be solved with specialized software.
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GBG Loqate
Published By: Zendesk     Published Date: Jan 04, 2019
Seus clientes eles entendem mais de tecnologia do que nunca e preferem a abordagem "faça você mesmo" para resolver seus problemas e responder às suas próprias dúvidas. Anos de pesquisas feitas pelo ICMI confirmaram que os clientes preferem resolver seus problemas por conta própria e usando seus canais favoritos. Além disso, os clientes só procuram interações diretas quando esgotam todas as opções de autoatendimento. Essa informação se baseia em dados da American Express, que descobriu que 48% dos consumidores preferem falar com um representante do atendimento ao cliente para lidar com problemas complexos, mas apenas 16% preferem esse mesmo contato para resolver problemas simples. O objetivo desse documento é simples: queremos ajudá-lo a criar uma base de conhecimento, uma comunidade e um portal do cliente completos. E você pode fazer tudo isso usando a Central de Ajuda do Zendesk Guide.
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Zendesk
Published By: Ahead     Published Date: Jan 10, 2019
Get set to solve your most aggravating issues and turn your IT help desk into a lean, mean, incident-solving machine!
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Ahead
Published By: Ahead     Published Date: Jan 10, 2019
A January 2018 commissioned study conducted by Forrester Consulting on behalf of ServiceNow How a Representative Organization Resolved Security Incidents 45% Faster This Forrester Study provides a framework and customer example to help readers evaluate the potential financial benefits of investing in ServiceNow Security Operations. To understand and illustrate the benefits, costs, and risks associated with ServiceNow, Forrester interviewed three current Security Operations customers to create a representative organization. This organization: Improved vulnerability response times by 25% Prioritized vulnerabilities 60% faster Achieved 230% ROI Download this study to evaluate the Total Economic Impact of using ServiceNow Security Operations to deliver fast and efficient security response.
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Ahead
Published By: BMC ASEAN     Published Date: Dec 18, 2018
From the impact of disruptive technologies to the imperative of digital transformation, businesses today must find new ways to innovate or risk being left behind. While data flowing rapidly between the Internet of Things and multi-cloud computing environments brings tremendous opportunity, there’s also a great deal of complexity. Artificial intelligence (AI) and machine learning (ML) are part of the new wave of solutions capturing the minds of enterprise leaders to respond to these new opportunities and complexities. Digitally literate leaders who are highly cognizant of this wave, are jumping in headfirst and applying AI and ML to solve real business challenges—making enterprise goals of enabling cost savings via smarter operations and decision making come to fruition. BMC Cognitive Service Management (CSM) addresses the complexities of multi-cloud computing by applying intelligence, automation, and predictive capabilities. CSM employs a differentiated approach with a more holistic
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BMC ASEAN
Published By: BMC ASEAN     Published Date: Dec 18, 2018
The business world is entering an age of the digital “haves” and the digital “have-nots.” In fact, research firm Forrester anticipates a growing “digital crisis” in its 2018 predictions, noting that 60% of CIOs and other executives it surveyed say they’re behind in their digital transformations. Meanwhile, Forrester expects one in five CEOs will fail to act on digital initiatives and put their firms in serious jeopardy as a result. Savvy organizations are embracing cloud, the Internet of Things (IoT), artificial intelligence (AI), and other transformative technologies to solve meaningful business problems and achieve their strategic priorities. Everyone else is getting left behind. Nowhere is this fork-in-the-road moment more apparent than in how enterprise IT teams deliver and manage services, to employees and customers alike.
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BMC ASEAN
Published By: SAP     Published Date: Feb 03, 2017
The spatial analytics features of the SAP HANA platform can help you supercharge your business with location-specific data. By analyzing geospatial information, much of which is already present in your enterprise data, SAP HANA helps you pinpoint events, resolve boundaries locate customers and visualize routing. Spatial processing functionality is standard with your full-use SAP HANA licenses.
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SAP
Published By: QTS     Published Date: Nov 04, 2016
At the heart of the Data Solved promise are three core attributes - People Powered, Technology Focused and Infrastructure Invested. We leverage our strong, diverse team of more than 700 employees to enable our Powered by People motto and deliver on our promise. With 24 data centers on four continents, we are poised to deliver world-class infrastructure and value added technology services to our more than 1,000 customers in North America, Europe, Asia and Australia.
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data centers, infrastructure, value added technology services, data security, data center, colocation, cloud needs, security, it management, data management
    
QTS
Published By: Cisco     Published Date: Dec 11, 2018
The Cisco SD-WAN solution is a cloud-delivered overlay WAN architecture that enables digital and cloud transformation at enterprises. It significantly reduces WAN costs and time to deploy new services, and, builds a robust security architecture crucial for hybrid networks. Enterprises today face major user experience problems for SaaS applications on account of networking problems. The centralized Internet exit architecture is inefficient and results in poor SaaS performance. And branch sites are running out of capacity to handle Internet traffic which is a concern because more than 50% of branch traffic is destined to the cloud. More importantly there are many dynamic changes in Internet gateways and the SaaS hosting servers that lead to unpredictability in performance. The Cisco SD-WAN solution solves these problems by creating multiple Internet exit points, adding high bandwidth at branch locations, and dynamically steering around problems in real-time, resulting is an optimal SaaS
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Cisco
Published By: Cisco EMEA     Published Date: Nov 13, 2017
The HX Data Platform uses a self-healing architecture that implements data replication for high availability, remediates hardware failures, and alerts your IT administrators so that problems can be resolved quickly and your business can continue to operate. Space-efficient, pointerbased snapshots facilitate backup operations, and native replication supports cross-site protection. Data-at-rest encryption protects data from security risks and threats. Integration with leading enterprise backup systems allows you to extend your preferred data protection tools to your hyperconverged environment.
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hyperflex, systems, data platform, storage efficiency, business, cisco
    
Cisco EMEA
Published By: Zendesk     Published Date: May 21, 2018
Customers are more technically savvy than everand have come to prefer the DIY approach to solving their issues and answering their own questions. Years of research by ICMI has confirmed that customers prefer to resolve issues themselves and within their channels of choice. Furthermore, customers onlyseek direct interactions when they unsuccessfully exhaust their self-service options. This is backed up by data from American Express, which found that 48% of consumers prefer to speak with a customer service rep when dealing with complex issues, but only16% prefer the same contact for simple issues. The goal of this paper is simple: We want to help you build an all-in-one knowledge base, community, and customer portal. All of which can be accomplished with a help center like Zendesk Guide.
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Zendesk
Published By: Akamai Technologies     Published Date: Feb 23, 2017
BitSight relied on a key piece of software for business. As the number of software users grew, the complexity of deploying, managing, and maintaining a VPN infrastructure became a big, ongoing headache for IT. Read the case study to see how Akamai helped BitSight solve their access issues.
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bitsight, software, vpn, infrastructure, access, remote
    
Akamai Technologies
Published By: Cisco EMEA     Published Date: Nov 08, 2018
The goal of ESG Lab reports is to educate IT professionals about data center technology products for companies of all types and sizes. ESG Lab reports are not meant to replace the evaluation process that should be conducted before making purchasing decisions, but rather to provide insight into these emerging technologies. Our objective is to go over some of the more valuable feature/functions of products, show how they can be used to solve real customer problems and identify any areas needing improvement. ESG Lab's expert third party perspective is based on our own hands on testing as well as on interviews with customers who use these products in production environments.
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Cisco EMEA
Published By: Akamai Technologies     Published Date: Sep 12, 2017
The ways in which the Internet supports our everyday lives have become richer, more engaging, and more mobile. This innovation is driven by the visionaries, designers, developers, and managers of the web experiences that users consume every day. By exploring new ways to solve challenges and improve products and services that enrich our lives, developers and business owners have stretched the Internet to support use cases for which it was never designed. In order to succeed, modern web experiences must seem simple to end-users, even though most ultimately require complex design and technology to deliver.
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web experience, web design, mobile, internet supporters
    
Akamai Technologies
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