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Provides information on ways to effectively design and release an application.
What are the ingredients of robust, elegant, flexible, and maintainable software architecture? Beautiful Architecture answers this question through a collection of intriguing essays from more than a dozen of today's leading software designers and architects. In each essay, contributors present a notable software architecture, and analyze what makes it innovative and ideal for its purpose. Some of the engineers in this book reveal how they developed a specific project, including decisions they faced and tradeoffs they made. Others take a step back to investigate how certain architectural aspects have influenced computing as a whole. With this book, you'll discover: How Facebook's architecture is the basis for a data-centric application ecosystem The effect of Xen's well-designed architecture on the way operating systems evolve How community processes within the KDE project help software architectures evolve from rough sketches to beautiful systems How creeping featurism has helped GNU Emacs gain unanticipated functionality The magic behind the Jikes RVM self-optimizable, self-hosting runtime Design choices and building blocks that made Tandem the choice platform in high-availability environments for over two decades Differences and similarities between object-oriented and functional architectural views How architectures can affect the software's evolution and the developers' engagement Go behind the scenes to learn what it takes to design elegant software architecture, and how it can shape the way you approach your own projects, with Beautiful Architecture.
Master The Crucial Technical Skills Every Software Architect Needs! To succeed as a software architect, you must master both technical skills and soft skills. Dave Hendricksen illuminated the soft skills in his highly-regarded 12 Essential Skills for Software Architects. Now, in 12 More Essential Skills for Software Architects he turns to the technical side. Drawing on his decades of experience, Hendricksen organizes technical skills into three areas. PROJECT SKILLS: driving projects from ideation through delivery TECHNOLOGY SKILLS: building, buying, and/or leveraging the right technologies VISIONARY SKILLS: realizing an architectural vision that improves long-term competitiveness He helps you develop and sharpen these key technical skills: from conceptualizing solutions to developing platforms and governance, and from selecting technology innovations to infusing architectures with an entrepreneurial spirit. This guide reveals the technical skills you need and provides a coherent framework and practical methodology for mastering them. Taken together, Hendricksen’s two books offer the most complete, practical pathway to excellence in software architecture. They’ll guide you through every step of your architecture career—from getting the right position to thriving once you have it. Essential Architect Skills Visionary Skills Entrepreneurial Execution Technology Innovation Strategic Roadmapping Technology Skills Governance Platform Development Know-how Architectural Perspective Project Skills Estimation Partnership Discovery Management Conceptualization Dave Hendricksen is a big data architect for Thomson Reuters, where he works closely with the firm’s new product development teams to create innovative legal products for large-scale online platforms such as Hendricksen presented “Designing and Building Large-Scale Systems in an Agile World” at Carnegie Mellon University’s influential Software Engineering Institute.
This book introduces basic computing skills designed for industry professionals without a strong computer science background. Written in an easily accessible manner, and accompanied by a user-friendly website, it serves as a self-study guide to survey data science and data engineering for those who aspire to start a computing career, or expand on their current roles, in areas such as applied statistics, big data, machine learning, data mining, and informatics. The authors draw from their combined experience working at software and social network companies, on big data products at several major online retailers, as well as their experience building big data systems for an AI startup. Spanning from the basic inner workings of a computer to advanced data manipulation techniques, this book opens doors for readers to quickly explore and enhance their computing knowledge. Computing with Data comprises a wide range of computational topics essential for data scientists, analysts, and engineers, providing them with the necessary tools to be successful in any role that involves computing with data. The introduction is self-contained, and chapters progress from basic hardware concepts to operating systems, programming languages, graphing and processing data, testing and programming tools, big data frameworks, and cloud computing. The book is fashioned with several audiences in mind. Readers without a strong educational background in CS--or those who need a refresher--will find the chapters on hardware, operating systems, and programming languages particularly useful. Readers with a strong educational background in CS, but without significant industry background, will find the following chapters especially beneficial: learning R, testing, programming, visualizing and processing data in Python and R, system design for big data, data stores, and software craftsmanship.
Since Test-Driven Infrastructure with Chef first appeared in mid-2011, infrastructure testing has begun to flourish in the web ops world. In this revised and expanded edition, author Stephen Nelson-Smith brings you up to date on this rapidly evolving discipline, including the philosophy driving it and a growing array of tools. You’ll get a hands-on introduction to the Chef framework, and a recommended toolchain and workflow for developing your own test-driven production infrastructure. Several exercises and examples throughout the book help you gain experience with Chef and the entire infrastructure-testing ecosystem. Learn how this test-first approach provides increased security, code quality, and peace of mind. Explore the underpinning philosophy that infrastructure can and should be treated as code Become familiar with the MASCOT approach to test-driven infrastructure Understand the basics of test-driven and behavior-driven development for managing change Dive into Chef fundamentals by building an infrastructure with real examples Discover how Chef works with tools such as Virtualbox and Vagrant Get a deeper understanding of Chef by learning Ruby language basics Learn the tools and workflow necessary to conduct unit, integration, and acceptance tests
This book constitutes the proceedings of the 17th IFIP International Conference on Distributed Applications and Interoperable Systems, DAIS 2017, held in Neuchâtel, Switzerland, in June 2017. The 11 papers presented together with 4 short papers in this volume were carefully reviewed and selected from 23 submissions. The papers are organized in topical sections on running system efficiently, storing data smartly, roaming in graph, building collaborative services, and making things safe.
لم يتم توفير أي شيءأتقن ملايين القرّاء ما جاء في كتابي كيف تمسك بزمام القوة، لكن الصورة النهائية للسلطة هي الإتقان ذاته. في هذا الكتاب قضى روبرت غرين عمره في دراسة قوانين السلطة والتأثير، وفيه يأخذنا عبر الممر السري للعظمة الذي سار فيه أقوى الرجال في التاريخ؛ فهذا الكتاب يستخلص حكمة العصور ليضيء لنا لأول مرة طريقًا واضحًا وإن كان صعبًا. في داخل كل واحد منا قدرة ليكون أستاذًا. تعلَّم أسرار المجال الذي اخترته. اشترك في تدريب دقيق. امتصَّ المعرفة الخفية التي يمتلكها من لديهم خبرات لعشرات السنين. انطلق بجانب المتنافسين وتفوَّق عليهم بالتألق، وفجِّر الأنماط الجامدة من داخلها. ادرس سلوكات آينشتاين والعمالقة التسعة المعاصرين الذين أجرينا معهم مقابلات لغايات هذا الكتــاب، ثم أطلـــق العنان للشــــغف الكـــــامـــن في داخلك، وكن أستاذًا. العبيكان 2017

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