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会员免费 - Scaling.Big.Data.with.Hadoop.and.Solr.2nd.Edition.1783553391Title: Scaling Big Data with Hadoop and Solr, 2nd Edition Author: Hrishikesh Vijay Karambelkar Length: 156 pages Edition: 1 Language: English Publisher: Packt Publishing Publication Date: 2015-03-31 ISBN-10: 1783553391 ISBN-13: 9781783553396 Understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr About This Book Explore different approaches to making Solr work on big data ecosystems besides Apache Hadoop Improve search performance while working with big data A practical guide that covers interesting, real-life use cases for big data search along with sample code Who This Book Is For This book is aimed at developers, designers, and architects who would like to build big data enterprise search solutions for their customers or organizations. No prior knowledge of Apache Hadoop and Apache Solr/Lucene technologies is required. In Detail Together, Apache Hadoop and Apache Solr help organizations resolve the problem of information extraction from big data by providing excellent distributed faceted search capabilities. This book will help you learn everything you need to know to build a distributed enterprise search platform as well as optimize this search to a greater extent, resulting in the maximum utilization of available resources. Starting with the basics of Apache Hadoop and Solr, the book covers advanced topics of optimizing search with some interesting real-world use cases and sample Java code. This is a step-by-step guide that will teach you how to build a high performance enterprise search while scaling data with Hadoop and Solr in an effortless manner. Table of Contents Chapter 1. Processing Big Data Using Hadoop and MapReduce Chapter 2. Understanding Apache Solr Chapter 3. Enabling Distributed Search using Apache Solr Chapter 4. Big Data Search Using Hadoop and Its Ecosystem Chapter 5. Scaling Search Performance
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会员免费 - 中国信创产业发发展白皮书-2021.pdf2021年1月,国内知名咨询机构“众诚智库”和工信部直属事业单位“中国电子学会”联合航天信息系统工程(北京)有限公司、无锡先进技术研究院、联想控股股份有限公司、麒麟软件有限公司、北京中科院软件中心有限公司、曙光星云信息技术(北京)有限公司、金蝶国际软件集团有限公司、北京中企伍佰信息技术研究院、统信软件技术有限公司、北京鸿腾智能科技有限公司、江苏汤谷智能科技有限公司、国能信控互联技术有限公司、中国民航信息集团有限公司、北京元年科技股份有限公司、北京东华合创科技有限公司、中国智能终端操作系统产业联盟16家企业和机构,经过全面的调研和梳理,共同发布了国内信创领域首本《中国信创产业发展白皮书(2021)》。 该白皮书首先分析了信创产业的发展背景,在全球产业从工业化向数字化升级的关键时期,中国明确提出“数字中国”建设战略,以抢占下一时期的技术优先权。但2018年以来,受“华为、中兴事件”影响,我国科技尤其是上游核心技术受制于人的现状对我国经济持续高质量发展提出了严峻考验,为了摆脱这一现状,国家将信创产业纳入国家战略,提出“2+8”发展体系,2020-2022年中国IT产业在基础硬件、基础软件、行业应用软件、信息安全等诸多领域迎来了黄金发展期。 其次,该白皮书绘制了信创产业的全景图,信创产业生态体系庞大,分别在CPU、操作系统、数据库、中间件、网络和信息安全等产品维度具体描述发展态势。
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会员免费 - Artificial.Intelligence.in.the.21st.Century.2nd.Edition.1942270003This new edition provides a comprehensive, colorful, up to date, and accessible presentation of AI without sacrificing theoretical foundations. It includes numerous examples, applications, full color images, and human interest boxes to enhance student interest. New chapters on robotics and machine learning are now included. Advanced topics cover neural nets, genetic algorithms, natural language processing, planning, and complex board games. A companion DVD is provided with resources, applications, and figures from the book. Numerous instructors’ resources are available upon adoption. FEATURES: Includes new chapters on robotics and machine learning and new sections on speech understanding and metaphor in NLP Provides a comprehensive, colorful, up to date, and accessible presentation of AI without sacrificing theoretical foundations Uses numerous examples, applications, full color images, and human interest boxes to enhance student interest Introduces important AI concepts e.g., robotics, use in video games, neural nets, machine learning, and more thorough practical applications Features over 300 figures and color images with worked problems detailing AI methods and solutions to selected exercises Includes DVD with resources, simulations, and figures from the book Provides numerous instructors’ resources, including: solutions to exercises, Microsoft PP slides, etc. Table of Contents Part 1: Introduction Chapter 1 Overview of Artificial Intelligence PART II: FUNDAMENTALS Chapter 2 Uninformed Search Chapter 3 Informed Search Chapter 4 Search Using Games Chapter 5 Logic in Artificial Intelligence Chapter 6 Knowledge Representation Chapter 7 Production Systems PART III: KNOWLEDGE-BASED SYSTEMS Chapter 8 Uncertainty in AI Chapter 9 Expert Systems Chapter 10 Machine Learning: Part I Inductive Learning with Decision Trees Chapter 11 Machine Learning : Part II Neural Networks Chapter 12 Search Inspired by Mother Nature PART IV: ADVANCED TOPICS Chapter 13 Natural Language Understanding Chapter 14 Automated Planning PART V: THE PRESENT AND FUTURE Chapter 15 Robotics Chapter 16 Advanced Computer Games Chapter 17 Reprise Appendix A. Example with CLIPS: The Expert System Shell Appendix B. Implementation of the Viterbi Algorithm for Hidden Markov Chains. Appendix C. The Amazing Walter Shawn Browne Appendix D. On Companion Data Disc Appendix E. Solutions to Selected Odd Exercises
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会员免费 - ISO_IEC_14496-14_2003-11-15_MP4标准MP4是MPEG4的Part14,详情如下: MPEG-4标准目前分为27个部分,统称为ISO/IEC14496国际标准。[1]各部分的内容描述如下: 第一部分(ISO/IEC 14496-1),系统:描述视频和音频数据流的控制、同步以及混合方式(Multiplexing, MUX)。 第二部分(ISO/IEC 14496-2),视频:定义了对各类视觉信息(包括自然视频、静止纹理、计算机合成图形等等)的编解码器。该部分采用了国际电联ITU的技术建议H.263,故业界亦称该部分为H.263。 第三部分(ISO/IEC 14496-3),音频:定义了对各种音频信号进行编码的编解码器的集合,包括AAC(Advanced Audio Coding)。 第四部分(ISO/IEC 14496-4),一致性:定义了对本标准其他的部分进行一致性测试方法。 第五部分(ISO/IEC 14496-5),参考软件:提供了用于功能演示的软件。 第六部分(ISO/IEC 14496-6),多媒体传输集成框架。 第七部分(ISO/IEC 14496-7),优化的参考软件:在第五部分的基础上提供了优化示例。 第八部分(ISO/IEC 14496-8),IP网络传输:定义了在IP网络上传输MPEG-4内容的格式。 第九部分(ISO/IEC 14496-9),参考硬件:提供了用于实现本标准功能的硬件设计方案。 第十部分(ISO/IEC 14496-10),高级视频编码AVC(Advanced Video Coding):定义了更高级的视频编解码器。该部分采用了国际电联ITU的技术建议H.264,故业界亦称该部分为H.264。 第十一部分(ISO/IEC 14496-11),场景描述与应用引擎。 第十二部分(ISO/IEC 14496-12),基本媒体文件格式。 第十三部分(ISO/IEC 14496-13),知识产权管理和保护的拓展。 第十四部分(ISO/IEC 14496-14),视频文件格式:在第十二部分的基础上定义了视频内容的存储格式。 第十五部分(ISO/IEC 14496-15),AVC文件格式:在第十二部分的基础上定义了AVC视频内容的存储格式。 第十六部分(ISO/IEC 14496-16),动画框架扩展。 第十七部分(ISO/IEC 14496-17),同步文本字幕格式。 第十八部分(ISO/IEC 14496-18),字体压缩和流媒体传输。 第十九部分(ISO/IEC 14496-19),合成信息流。 第二十部分(ISO/IEC 14496-20),简单场景描述。 第二十一部分(ISO/IEC 14496-21),用于渲染的MPEG-J拓展。 第二十二部分(ISO/IEC 14496-22),开放字体格式。 第二十三部分(ISO/IEC 14496-23),符号化的音乐描述。 第二十四部分(ISO/IEC 14496-24),音频与系统的交互定义。 第二十五部分(ISO/IEC 14496-25),3D图形压缩模型。 第二十六部分(ISO/IEC 14496-26),音频一致性检查。 第二十七部分(ISO/IEC 14496-27),3D图形一致性检查。
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会员免费 - The.Data.Science.Handbook.pdfA comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In addition, good data science is not just rote application of trainable skill sets; it requires the ability to think flexibly about all these areas and understand the connections between them. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. Unlike many analytics books, computer science and software engineering are given extensive coverage since they play such a central role in the daily work of a data scientist. The author also describes classic machine learning algorithms, from their mathematical foundations to real-world applications. Visualization tools are reviewed, and their central importance in data science is highlighted. Classical statistics is addressed to help readers think critically about the interpretation of data and its common pitfalls. The clear communication of technical results, which is perhaps the most undertrained of data science skills, is given its own chapter, and all topics are explained in the context of solving real-world data problems. The book also features: Extensive sample code and tutorials using Python™ along with its technical libraries Core technologies of “Big Data,” including their strengths and limitations and how they can be used to solve real-world problems Coverage of the practical realities of the tools, keeping theory to a minimum; however, when theory is presented, it is done in an intuitive way to encourage critical thinking and creativity A wide variety of case studies from industry Practical advice on the realities of being a data scientist today, including the overall workflow, where time is spent, the types of datasets worked on, and the skill sets needed The Data Science Handbook is an ideal resource for data analysis methodology and big data software tools. The book is appropriate for people who want to practice data science, but lack the required skill sets. This includes software professionals who need to better understand analytics and statisticians who need to understand software. Modern data science is a unified discipline, and it is presented as such. This book is also an appropriate reference for researchers and entry-level graduate students who need to learn real-world analytics and expand their skill set. FIELD CADY is Principal Data Scientist at Maana, Inc. where he applies Big Data tools to solve industrial problems. He has a BS in Physics from Stanford University, an MS in Applied Mathematics from the University of Washington, and an MS in Computer Science from Carnegie Mellon University. Table of Contents Chapter 1 Introduction: Becoming a Unicorn Part I The Stuff You’ll Always Use Chapter 2 The Data Science Road Map Chapter 3 Programming Languages Chapter 4 Data Munging: String Manipulation, Regular Expressions, and Data Cleaning Chapter 5 Visualizations and Simple Metrics Chapter 6 Machine Learning Overview Chapter 7 Interlude: Feature Extraction Ideas Chapter 8 Machine Learning Classification Chapter 9 Technical Communication and Documentation Part II Stuff You Still Need to Know Chapter 10 Unsupervised Learning: Clustering and Dimensionality Reduction Chapter 11 Regression Chapter 12 Data Encodings and File Formats Chapter 13 Big Data Chapter 14 Databases Chapter 15 Software Engineering Best Practices Chapter 16 Natural Language Processing Chapter 17 Time Series Analysis Chapter 18 Probability Chapter 19 Statistics Chapter 20 Programming Language Concepts Chapter 21 Performance and Computer Memory Part III Specialized or Advanced Topics Chapter 22 Computer Memory and Data Structures Chapter 23 Maximum Likelihood Estimation and Optimization Chapter 24 Advanced Classifiers Chapter 25 Stochastic Modeling Chapter 25a Parting Words: Your Future as a Data Scientist
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会员免费 - ISO-IEC-IEEE 42010(中文版r1.1).pdf本国际标准致力于通过架构说明的应用,来创建、分析和保持系统的架构。本国际标准为架构的说明提供一个核心本体(core ontology)。本国际标准的规定是服务于 加强想获得的架构说明的属性。本国际标准也指明有关加强架构框架和架构说明语言(ADLs)的规定,以使它们能支持架构说明的开发和使用。 本国际标准通过提供公共本体(common ontology)的指定内容, 为架构框架和 ADL 提供了对比和集成的基准
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会员免费 - Exploratory.Data.Analysis.with.RThis book covers some of the basics of visualizing data in R and summarizing high dimensional data with statistical multivariate analysis techniques. There is less of an emphasis on formal statistical inference methods, as inference is typically not the focus of EDA. Rather, the goal is to show the data, summarize the evidence and identify interesting patterns while eliminating ideas that likely won’t pan out. Throughout the book, we will focus on the R statistical programming language. We will cover the various plotting systems in R and how to use them effectively. We will also discuss how to implement dimension reduction techniques like clustering and the singular value decomposition. All of these techniques will help you to visualize your data and to help you make key decisions in any data analysis. Table of Contents Getting Started with R Managing Data Frames with the dplyr package Exploratory Data Analysis Checklist Principles of Analytic Graphics Exploratory Graphs Plotting Systems Graphics Devices The Base Plotting System The ggplot2 Plotting System: Part 1 The ggplot2 Plotting System: Part 2 Data Analysis Case Study: Changes in Fine Particle Air Pollution in the U.S.
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会员免费 - AVS+标准文档中国新发布的AVS+标准,用于广播电视领域。很难得的标准文档。
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会员免费 - Relevant.Search.With.applications.for.Solr.and.ElasticsearchSummary Relevant Search demystifies relevance work. Using Elasticsearch, it teaches you how to return engaging search results to your users, helping you understand and leverage the internals of Lucene-based search engines. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Users are accustomed to and expect instant, relevant search results. To achieve this, you must master the search engine. Yet for many developers, relevance ranking is mysterious or confusing. About the Book Relevant Search demystifies the subject and shows you that a search engine is a programmable relevance framework. You'll learn how to apply Elasticsearch or Solr to your business's unique ranking problems. The book demonstrates how to program relevance and how to incorporate secondary data sources, taxonomies, text analytics, and personalization. In practice, a relevance framework requires softer skills as well, such as collaborating with stakeholders to discover the right relevance requirements for your business. By the end, you'll be able to achieve a virtuous cycle of provable, measurable relevance improvements over a search product's lifetime. What's Inside Techniques for debugging relevance? Applying search engine features to real problems? Using the user interface to guide searchers? A systematic approach to relevance? A business culture focused on improving search About the Reader For developers trying to build smarter search with Elasticsearch or Solr. About the Authors Doug Turnbull is lead relevance consultant at OpenSource Connections, where he frequently speaks and blogs. John Berryman is a data engineer at Eventbrite, where he specializes in recommendations and search. Foreword author, Trey Grainger, is a director of engineering at CareerBuilder and author of Solr in Action. Table of Contents Chapter 1 The search relevance problem Chapter 2 Search—under the hood Chapter 3 Debugging your first relevance problem Chapter 4 Taming tokens Chapter 5 Basic multifield search Chapter 6 Term-centric search Chapter 7 Shaping the relevance function Chapter 8 Providing relevance feedback Chapter 9 Designing a relevance-focused search application Chapter 10 The relevance-centered enterprise Chapter 11 Semantic and personalized search Appendix A Indexing directly from TMDB Appendix B Solr reader’s companion
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会员免费 - BPMN2.02规范(中文版)BPMN2.02 业务流程建模与标注中文版规范,由翻译狗翻译,部分名词也被翻译成中文了,翻译得还算准确。
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会员免费 - 交通银行银企直联接口说明书v5.0交通银行银企直联接口说明书v5.0 目的是为实现交通银行银企直联系统与企业资金管理系统的无缝对接,方便企业相关技术人员进行接口的开发
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会员免费 - Learning.Docker.1784397938Optimize the power of Docker to run your applications quickly and easily About This Book Learn to compose, use, and publish the Docker containers Leverage the features of Docker to deploy your existing applications Explore real world examples of securing and managing Docker containers Who This Book Is For If you are an application developer who wants to learn Docker in order to utilize its features for application deployment, then this book is for you. No prior knowledge of Docker is required. What You Will Learn Build a Docker image using Dockerfiles Push and publish images on Docker Hub Run your own private Docker Hub and upload images onto it Create and run services inside a container to deploy your applications with ease Share data between the Docker host and containers Orchestrate multiple containers with Docker Compose Test and debug applications inside a Docker container Secure your Docker containers with SELinux In Detail Docker is a next-generation platform for simplifying application containerization life-cycle. Docker allows you to create a robust and resilient environment in which you can generate portable, composable, scalable, and stable application containers. This book is a step-by-step guide that will walk you through the various features of Docker from Docker software installation to the impenetrable security of containers. The book starts off by elucidating the installation procedure for Docker and a few troubleshooting techniques. You will be introduced to the process of downloading Docker images and running them as containers. You'll learn how to run containers as a service (CaaS) and also discover how to share data among containers. Later on, you'll explore how to establish the link between containers and orchestrate containers using Docker Compose. You will also come across relevant details about application testing inside a container. You will discover how to debug a container using the docker exec command and the nsenter tool. Finally, you will learn how to secure your containers with SELinux and other proven methods. Table of Contents Chapter 1. Getting Started with Docker Chapter 2. Handling Docker Containers Chapter 3. Building Images Chapter 4. Publishing Images Chapter 5. Running Your Private Docker Infrastructure Chapter 6. Running Services in a Container Chapter 7. Sharing Data with Containers Chapter 8. Orchestrating Containers Chapter 9. Testing with Docker Chapter 10. Debugging Containers Chapter 11. Securing Docker Containers
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免费 - openfst.pdf有关openfst的介绍,需要的朋友下载啊~~~~
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会员免费 - 802.3-2018.rar 含所有802.3系列协议802.3-2018是802系列协议整合的2018版本,5600多页,做以太网、车载以太网、工业以太网必备参考协议。
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会员免费 - opendrive格式中文版.pdf根据OpenDrive官网提供的英文版,翻译整理成的OpenDrive中文版的数据格式。搞地图和自动驾驶等相关领域的都会用都OpenDrive格式的数据,包括百度的apollo自动驾驶平台使用的也是OpenDrive数据格式。OpenDrive官网提供了有关OpenDrive数据格式的详细说明,可惜是全英文的,对我这种英文不太好的人来说,看着就有点费劲了,就借助工具翻译整理了一份中文版的数据格式说明。在这里分享出来,希望也能帮到遇到这种困境的小伙伴。
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会员免费 - 数字孪生应用白皮书2020版数字孪生技术作为推动实现企业数字化转型、促进数字经济发展的重要抓手,已建立了普遍适应的理论技术体系,并在产品设计制造、工程建设和其他学科分析等领域有较为深入的应用。在当前我国各产业领域强调技术自主和数字安全的发展段,数字孪生技术本身具有的高效决策、深度分析等特点,将有力推动数字产业化和产业数字化进程。 数字经济的国家战略。本白皮书力求以较为浅显易懂的方式对数字孪生 相关定义、特征进行阐述,并针对当前数字孪生的技术热点、应用领域、 产业情况和标准化工作进展进行了分析
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会员免费 - 信号完整性与电源完整性.pdf信号完整性与电源完整性,cadence官网简介。
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会员免费 - 西门子S7-1200编程手册S7-1200 可编程控制器 SIMATIC S7 S7-1200 可编程控制器 系统手册 V4.2, 09/2016 A5E02486685-AK 前言 S7-1200 系列是一款可编程逻辑控制器 (PLC, Programmable Logic Controller),可以控制各种自动化应用。S7-1200 设计紧凑、成本低廉且具有功能强大的指令集,这些特点使它成为控制各种应用的完美解 决方案。S7-1200 型号和基于 Windows 的 STEP 7 编程工具 (页 43)提供了解决自动化问题时需要的灵活性。 本手册提供了有关 S7-1200 PLC 的安装和编程信息,其主要用户是具备可编程逻辑控制器基本知识的工程师、编程人员、 安装人员和电工人员
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会员免费 - ISO13400-2-2019.pdf是最新版汽车以太网诊断标准,iso13400——2——2019,2019版本,新增安全相关等内容,最新车载以太网 ISO 13400 DoIP 是汽车网络测试和汽车网络开发人员绝佳资料
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会员免费 - 信息系统项目管理师优秀论文80篇(薛大龙博士).pdf信息系统高级
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会员免费 - P2P 分层流媒体中数据分配算法.pdfP2P 分层流媒体中数据分配算法.pdf 看看
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会员免费 - Practical.Hive.A.Guide.to.Hadoops.Data.Warehouse.System.1484202724Dive into the world of SQL on Hadoop and get the most out of your Hive data warehouses. This book is your go-to resource for using Hive: authors Scott Shaw, Ankur Gupta, David Kjerrumgaard, and Andreas Francois Vermeulen take you through learning HiveQL, the SQL-like language specific to Hive, to analyze, export, and massage the data stored across your Hadoop environment. From deploying Hive on your hardware or virtual machine and setting up its initial configuration to learning how Hive interacts with Hadoop, MapReduce, Tez and other big data technologies, Practical Hive gives you a detailed treatment of the software. In addition, this book discusses the value of open source software, Hive performance tuning, and how to leverage semi-structured and unstructured data. What You Will Learn Install and configure Hive for new and existing datasets Perform DDL operations Execute efficient DML operations Use tables, partitions, buckets, and user-defined functions Discover performance tuning tips and Hive best practices Who This Book Is For Developers, companies, and professionals who deal with large amounts of data and could use software that can efficiently manage large volumes of input. It is assumed that readers have the ability to work with SQL. Table of Contents Chapter 1: Setting the Stage for Hive: Hadoop Chapter 2: Introducing Hive Chapter 3: Hive Architecture Chapter 4: Hive Tables DDL Chapter 5: Data Manipulation Language (DML) Chapter 6: Loading Data into Hive Chapter 7: Querying Semi-Structured Data Chapter 8: Hive Analytics Chapter 9: Performance Tuning: Hive Chapter 10: Hive Security Chapter 11: The Future of Hive Appendix A: Building a Big Data Team Appendix B: Hive Functions
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免费 - T/CAGIS 1—2019《空间三维模型数据格式》.pdf近年来,倾斜摄影建模、激光扫描等数据采集技术的发展,有效降低了三维空间数据的获取成本和 时间周期,提高了数据精度。伴随大规模三维空间数据的不断积累,三维空间数据的高效发布、数据共 享和数据交换,成为三维GIS研究重要内容。 本标准定义了一种开放式可扩展的空间三维模型数据格式———Spatial3DModel( S3M),适用于空 间三维模型数据的传输、交换与共享,有助于解决多源空间三维模型数据在不同终端(移动设备、浏览 器、桌面电脑)地理信息平台中的存储、高效可视化、共享与互操作等难题,对于推动我国三维地理空间 数据的共享及深入应用具有重要作用。
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免费 - 物联网毕业设计(论文)外文文献翻译这是一份物联网毕业设计(论文)的外文翻译文献,全文27页,英汉对照翻译的,跟大家要求的差不多。
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免费 - Big.Data.Principles.and.best.practices.of.scalable.realtime.data.systems.161Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive. Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases. This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. What's Inside Introduction to big data systems Real-time processing of web-scale data Tools like Hadoop, Cassandra, and Storm Extensions to traditional database skills About the Authors Nathan Marz is the creator of Apache Storm and the originator of the Lambda Architecture for big data systems. James Warren is an analytics architect with a background in machine learning and scientific computing. Table of Contents Chapter 1: A new paradigm for Big Data Part 1: Batch layer Chapter 2: Data model for Big Data Chapter 3: Data model for Big Data: Illustration Chapter 4: Data storage on the batch layer Chapter 5: Data storage on the batch layer: Illustration Chapter 6: Batch layer Chapter 7: Batch layer: Illustration Chapter 8: An example batch layer: Architecture and algorithms Chapter 9: An example batch layer: Implementation Part 2: Serving layer Chapter 10: Serving layer Chapter 11: Serving layer: Illustration Part 3: Speed layer Chapter 12: Realtime views Chapter 13: Realtime views: Illustration Chapter 14: Queuing and stream processing Chapter 15: Queuing and stream processing: Illustration Chapter 16: Micro-batch stream processing Chapter 17: Micro-batch stream processing: Illustration Chapter 18: Lambda Architecture in depth
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会员免费 - salesforce guidesalesforce的入门文档, 推荐使用
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会员免费 - A CDN-P2P Hybrid Architecture for Media Distribution.pdfA CDN-P2P Hybrid Architecture for Cost-Effective Streaming Media Distribution.pdf
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会员免费 - 2014中国移动应用性能管理白皮书移动应用的发展与繁荣催生了移动应用性能管理(mAPM)需求爆发,关注移动应用性能可有效持续提升用户体验,终止用户流失,并能助力可持续性研发迭代,降低IT运维成本。国内APM第一品牌听云重磅推出《2014中国移动应用性能管理白皮书》,适合移动互联网所有从业人员阅读
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