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  • 1
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume)
    Edition: First edition.
    Keywords: Internet of things ; New products ; Information technology ; Organizational change ; Electronic books ; Electronic books ; local
    Abstract: If you're a developer trying to get corporate buy-in for an IoT project, you need to understand that this pitch is much different than one for a typical new product or technology buy. Without fully realizing it, you may be asking for many things in one pitch: new approaches to interdepartmental communication, new ways to make management decisions based on the data your project will generate, new forms of customer interaction, and/or even major changes in staffing. This report from veteran O'Reilly editor Andy Oram delivers practical advice for preparing a compelling IoT pitch to CxO-level execs. Not only will you need to demonstrate how your project will improve the product, the customer experience, or the manufacturing or delivery processes, you also should be aware of how these changes will affect your relationships with suppliers, customers, and even competitors. This report explores the challenges and provides strategies for a successful pitch.
    Note: Description based on online resource; title from title page (Safari, viewed June 11, 2018)
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  • 2
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Application software ; Development ; Information technology ; Management ; Information visualization ; Decision making ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: Organizations are rapidly consuming more data than ever before, and to drive their competitive advantage, they're demanding interactive visualizations and interactive analyses of that data be embedded in their applications and business processes. This will enable them to make faster and more effective decisions based on data, not guesses. This practical book examines the considerations that software developers, product managers, and vendors need to take into account when making visualization and analytics a seamlessly integrated part of the applications they deliver, as well as the impact of migrating their applications to modern data platforms. Authors Federico Castanedo (Vodafone Group) and Andy Oram (O'Reilly Media) explore the basic requirements for embedding domain expertise with fast, powerful, and interactive visual analytics that will delight and inform customers more than spreadsheets and custom-generated charts. Particular focus is placed on the characteristics of effective visual analytics for big and fast data. Learn the impact of trends driving embedded analytics Review examples of big data applications and their analytics requirements in retail, direct service, cybersecurity, the Internet of Things, and logistics Explore requirements for embedding visual analytics in modern data environments, including collection, storage, retrieval, data models, speed, microservices, parallelism, and interactivity Take a deep dive into the characteristics of effective visual analytics and criteria for evaluating modern embedded analytics tools Use a self-assessment rating chart to determine the value of your organization's BI in the modern data setting
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed December 6, 2018)
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  • 3
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Big data ; Electronic data processing ; Distributed processing ; Management ; Information technology ; Management ; Information visualization ; Internet of things ; Electronic books ; Electronic books ; local
    Abstract: One estimate holds that, by 2020, businesses involved with the Internet of Things will spend roughly 26% of their entire IoT cost on technologies and services that store, integrate, visualize, and analyze data from various IoT devices-or nearly twice what IoT companies spend today. Conventional techniques for extracting and evaluating IoT data need to get a lot smarter if companies are to keep pace with the phenomena they're tracking. In this report, author Andy Oram discusses the state of IoT analytics by examining ThingWorx and its partners Glassbeam and National Instruments-companies that provide development tools and capabilities for building and running IoT applications. By learning how to use modern techniques to automate and speed up analytics on IoT projects, you can gain an edge in security, customer satisfaction, and operational efficiencies. Understand the demands of IoT analytics by exploring examples of farm, factory, vehicle maintenance, and healthcare automation Explore the characteristics of predictive analytics, a realm where you don't know in advance which factors are relevant Examine the tools for IoT analytics used by companies at various levels of data analytics Get revealing case studies of IoT analytics from ThingWorx, Glassbeam, and National Instruments
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed January 3, 2019)
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  • 4
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Apache Hadoop ; Spark (Electronic resource : Apache Software Foundation) ; Electronic data processing ; Distributed processing ; Information technology ; Management ; Big data ; Electronic books ; Electronic books ; local
    Abstract: Virtually every enterprise depends on big data analysis, but distributed computing environments such as Hadoop and Spark are complicated, to say the least. Multiple users, business units, and workload types often compete for valuable computing resources. Monitoring tools are not well equipped to handle this level of complexity, and typically provide only very high-level and historical information. The lack of fine-grained visibility for making real-time adjustments to running workloads means that high-priority jobs can easily be pushed aside by lower-priority jobs. It's time to bring Quality of Service (QoS) to distributed processing in multi-tenant Hadoop environments. This O'Reilly report explains how QoS allows operators to assign priorities to jobs, ensuring that higher-priority tasks get the resources needed to meet critical deadlines. Author Andy Oram examines the critical role of performance in the evolution of operating systems, data warehouses, and distributed processing. He also discusses Quasar (part of Mesos) and Pepperdata, two tools that can help improve performance in distributed computing environments. You'll discover how tools that help ensure QoS can help distributed environments evolve to accommodate: Multiple users contending for resources, such as those on operating systems Jobs that grow or shrink in hardware usage, so they don't strain at resource limits or let resources go to waste Jobs of different priorities, including soft real-time requirements that allow them to override lower-priority or adhoc jobs Performance guarantees, similar to service-level agreements (SLAs)
    Note: Description based on online resource; title from title page (Safari, viewed December 12, 2018)
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  • 5
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Big data ; Business enterprises ; Data processing ; Information technology ; Management ; Database management ; Electronic books ; Electronic books ; local
    Abstract: Organizations across all industries are attempting to capitalize on the promise of Big Data by using their information assets as a source of competitive advantage. In doing so, they are investing heavily in areas such as analytic tools and new storage capabilities. However, they often neglect the data management layer of the equation: it's not simply about finding an optimal way to store or analyze the data, but it's also vital that you prepare and manage the data for consumption. After all, if the data is inaccurate or incomplete, no consumer will trust or use it. Typically, organizations expend a lot of time on manual data cleaning and vetting to create "master records"-a single, trusted view of an organizational entity such as a customer or supplier-and this is often the area where most help is needed. This report explains just how powerful machine learning can be when applied directly to the creation of master data records. Known as agile data mastering, this method leverages ML's speed and flexibility to quickly create accurate master records that can scale across datasets and domains. You'll learn agile data mastering processes based on the operation of Tamr, an enterprise-scale data unification company that applies human-guided machine learning to this task. This report explores the: Overall importance and many uses of master data records Challenge of creating these records in distributed, complex data environments Differences between traditional master data management (MDM) and agile data mastering Advantages of agile data mastering Technology of Tamr, a data unification company that provides agile data mastering solutions
    Note: Description based on online resource; title from title page (Safari, viewed January 8, 2019)
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  • 6
    Language: Portuguese
    Pages: 1 online resource (26 pages)
    Edition: [First edition].
    Uniform Title: Getting started with InnerSource
    DDC: 005.3
    Keywords: Open source software ; Computer software Development ; Logiciels libres ; Electronic books
    Abstract: Bem-vindo ao InnerSource, o poderoso movimento de desenvolvimento de software de código aberto dentro das paredes de uma única organização, onde a "abertura" de um projeto se estende por todas as equipes dentro da empresa. Neste relatório, o editor e autor da O'Reilly, Andy Oram, leva você para dentro da InnerSource, primeiro revisando os princípios que tornam o desenvolvimento de código aberto bem-sucedido e, em seguida, descrevendo como a InnerSource trabalhou no PayPal, o principal facilitador de comércio na Internet. O caminho do PayPal para o InnerSource envolveu uma série de decisões corporativas em larga escala que incluíram uma mudança consciente nas ferramentas e na cultura corporativa. Por meio da InnerSource, a empresa não apenas alcançou um desenvolvimento mais rápido e melhor qualidade, mas também criou um ambiente de cooperação entre equipes que encorajou os programadores a contribuir com qualquer um dos projetos de desenvolvimento do PayPal.
    Note: Includes bibliographical references
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  • 7
    Language: Polish
    Pages: 1 online resource (1 v.) , ill.
    Keywords: Software engineering ; Electronic books ; Electronic books ; local
    Abstract: Właśnie w tej książce prawdziwi mistrzowie programowania podzielą się z Tobą swoimi doświadczeniami, przemyśleniami i spostrzeżeniami dotyczącymi tworzenia profesjonalnych rozwiązań.
    Note: Authorized translation of the English ed. of Beautiful code by O'Reilly Media, c2007. Cf. Copyright page. - Translators:. - Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed July 11, 2013)
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  • 8
    Online Resource
    Online Resource
    Sebastopol, Calif. : O'Reilly | Boston, Mass. :Safari Books Online,
    ISBN: 9780596801786 , 0596801785
    Language: English
    Pages: xv, 281 p , ill. , 24 cm
    Edition: 1st ed.
    Parallel Title: Erscheint auch als
    Keywords: Computer networks ; Security measures ; Electronic books ; local
    Abstract: Although most people don't give security much attention until their personal or business systems are attacked, this thought-provoking anthology demonstrates that digital security is not only worth thinking about, it's also a fascinating topic. Criminals succeed by exercising enormous creativity, and those defending against them must do the same. Beautiful Security explores this challenging subject with insightful essays and analysis on topics that include: The underground economy for personal information: how it works, the relationships among criminals, and some of the new ways they pounce on their prey How social networking, cloud computing, and other popular trends help or hurt our online security How metrics, requirements gathering, design, and law can take security to a higher level The real, little-publicized history of PGP This book includes contributions from: Peiter "Mudge" Zatko Jim Stickley Elizabeth Nichols Chenxi Wang Ed Bellis Ben Edelman Phil Zimmermann and Jon Callas Kathy Wang Mark Curphey John McManus James Routh Randy V. Sabett Anton Chuvakin Grant Geyer and Brian Dunphy Peter Wayner Michael Wood and Fernando Francisco All royalties will be donated to the Internet Engineering Task Force (IETF).
    Note: Title from resource description page (viewed Aug. 11, 2009). - Includes index
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  • 9
    Language: English
    Pages: 1 online resource (50 pages)
    Edition: First edition.
    DDC: 005.3
    Keywords: Open source software ; Computer software ; Software ; Logiciels libres ; Logiciels ; software ; Electronic books
    Abstract: While open source continues to dominate software development, many companies have been offering a mixture of free open source and closed proprietary software--a combination known as open core. These companies hope to cement revenue sources while promoting their status in open source communities. But how does open core compare to open source? This report from open source advocates Danese Cooper and Andy Oram provides an overview of these two software models. You'll learn the critical differences between them and what makes each one attractive. While open source has proven its value, open core poses some risks to vendors and customers. Once you read this report, you can judge for yourself.
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  • 10
    Online Resource
    Online Resource
    Beijing ; : O'Reilly | Boston, MA :Safari,
    Language: English
    Pages: xv, 432 p. , ill. ; , 24 cm
    Edition: 1st ed.
    DDC: 004.6/8
    Keywords: Disruptive technologies ; Local area networks (Computer networks) ; Peer-to-peer architecture (Computer networks) ; Electronic books ; local
    Abstract: The term "peer-to-peer" has come to be applied to networks that expect end users to contribute their own files, computing time, or other resources to some shared project. Even more interesting than the systems' technical underpinnings are their socially disruptive potential: in various ways they return content, choice, and control to ordinary users.While this book is mostly about the technical promise of peer-to-peer, we also talk about its exciting social promise. Communities have been forming on the Internet for a long time, but they have been limited by the flat interactive qualities of email and Network newsgroups. People can exchange recommendations and ideas over these media, but have great difficulty commenting on each other's postings, structuring information, performing searches, or creating summaries. If tools provided ways to organize information intelligently, and if each person could serve up his or her own data and retrieve others' data, the possibilities for collaboration would take off. Peer-to-peer technologies along with metadata could enhance almost any group of people who share an interest--technical, cultural, political, medical, you name it.This book presents the goals that drive the developers of the best-known peer-to-peer systems, the problems they've faced, and the technical solutions they've found. Learn here the essentials of peer-to-peer from leaders of the field: Nelson Minar and Marc Hedlund of target="new"〉 Popular Power , on a history of peer-to-peer Clay Shirky of acceleratorgroup , on where peer-to-peer is likely to be headed Tim O'Reilly of O'Reilly & Associates , on redefining the public's perceptions Dan Bricklin , cocreator of Visicalc , on harvesting information from end-users David Anderson of SETIhome , on how SETI@Home created the world's largest computer Jeremie Miller of Jabber , on the Internet as a collection of conversations Gene Kan of Gnutella and GoneSilent.com , on lessons from Gnutella for peer-to-peer technologies Adam Langley of Freenet , on Freenet's present and upcoming architecture Alan Brown of Red Rover, on a deliberately low-tech content distribution system Marc Waldman , Lorrie Cranor , and Avi Rubin of AT&T Labs , on the Publius project and trust in distributed systems Roger Dingledine , Michael J. Freedman , and David Molnar of Free Haven , on resource allocation and accountability in distributed systems Rael Dornfest of O'Reilly Network and Dan Brick...
    Note: Includes bibliographical references
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