Tabla de Contenidos: “…FizzBuzz Switched; 1.7. Computing Factorials; 1.8. Recursive Factorials; 1.9. Caching Factorials; 1.10. …”

Tabla de Contenidos: “…Cover; Contents; Preface: The New Aristocracy of Fame; 1 Celebrity Supernova; Fame attack: Defined; 'He who sings or dances the best...'; Domestic and factory systems of fame; The appeal of notoriety; The factory system and cultural intermediaries; Edward Bernays and the public relations mill; The public relations-Media hub; 2 The Fame Formula; Jade Goody; Madonna; 3 Celebrity and Sickness; Celebrity mortality and the mirror effect; Narcissistic Personality Disorder (NPD); Child stardom and its consequences; Fame, bipolarity and borderline personality disorder; Celebrity worship syndrome…”

“…The trend for smart machines is very clear and companies that do not upgrade their equipment will lose their competitiveness. As equipment and factories become smarter, companies must change their practices and organizational structures to manage the new generation of equipment for Industry 4.0.…”

Tabla de Contenidos: “…Chapter 1: Everything is becoming science fiction -- Chapter 2: A machine that can make almost anything; Printing three-dimensional things; The ten principles of 3D printing -- Chapter 3: Nimble manufacturing: Good, fast, and cheap; Somewhere between mass production and the local farmer's market; The blank canvas of the 21st century -- Chapter 4:Tomorrow's economy of printable products; Like ants with factories; The experience economy; A future economy of printable products -- Chapter 5: Printing in layers; A manufacturing process at heart; Two families of printers; Cleaning up design files; The raw materials -- Chapter 6: Design software, the digital canvas; A word processor for drawing; Today's design software; What you design is not (necessarily) what you print; The next generation of design software: digital capture -- Chapter 7: Bioprinting in "living ink"; The printer of youth; Tissue engineering; CAD for the body; The future -- Chapter 8: Digital cuisine; Digital gastronomy; Feeding the quantified self; Processed food -- Chapter 9: A factory in the classroom; Make to learn: Children's engineering -- Not a national crisis ... but learning should be enjoyable; Now let's see you draw that abstract equation on a graph; Barriers to classroom adoption; The road ahead -- Chapter 10: Unleashing a new aesthetic; Computers that act like nature; Printing wavy walls and custom gargoyles -- Chapter 11: Green, clean manufacturing; A tale of two plastic toys; Greener manufacturing; 3D printing a more beautiful landfill -- Chapter 12: Ownership, safety, and new legal frontiers; Printing weapons, drugs, and shoddy products; Rip, mix, and burn physical things; Exclusivity vs. the freedom to innovate -- Chapter 13: Designing the future tea. …”

Tabla de Contenidos: “…Chapter 11: Making Use of New APIs to Improve Your Code -- Filtering streams -- Basic filtering -- Using other stream operations for filtering -- Stack-walking APIs -- Stack analysis before Java 9 -- New better way to walk the stack -- Convenience factory methods for collections -- Why new factory methods? …”

Tabla de Contenidos:

Tabla de Contenidos: “…Contents; Introduction; I Navigating the Archive; Archives and Archaeologies; Record, Rhetoric, Rationalization; Vernacular Archiving; II Visuality and Efficiency; Early Industrial Moving Pictures in Germany; Layers of Cheese; Images of Efficiency; "What Hollywood Is to America, the Corporate Film Is to Switzerland"; Poussières; Thermodynamic Kitsch; III Films and Factories; Touring as a Cultural Technique; Corporate Films of IndustrialWork; Filming Work on Behalf of the Automobile Firm; Eccentricity, Education and the Evolution of Corporate Speech…”

Tabla de Contenidos: “…Machine generated contents note: Part 1 - Big Data Chapter 1 - Introduction to Big Data Chapter 2 - Complexity of Big Data Chapter 3 - Big Data Processing Architectures Chapter 4 - Big Data Technologies Chapter 5 - Big Data Business Value Part 2 - The Data Warehouse Chapter 6 - Data Warehouse Chapter 7 - Re-Engineering the Data Warehouse Chapter 8 -Workload Management in the Data Warehouse Chapter 9 - New Technology Approaches Part 3 - Extending Big Data into the Data Warehouse Chapter 10 - Integration of Big Data and Data Warehouse Chapter 11 - Data Driven Architecture Chapter 12 - Information Management and Lifecycle Chapter 13 - Big Data Analytics, Visualization and Data Scientist Chapter 14 - Implementing The "Big Data" Data Warehouse Appendix A - Customer Case Studies From Vendors Appendix B - Building The HealthCare Information Factory…”

Tabla de Contenidos: “…Variables Search; 14. The Full Factorial; 15. B versus C…”

Tabla de Contenidos: “…Sweets -- Working women, gender, and industrialization in nineteenth-century France : the case of Lorraine embroidery manufacturing / Whitney Walton -- The calico painters of Estavayer : employers' strategies toward the market for women's labor / Pierre Caspard -- From home to factory : women in the nineteenth-century Italian silk industry / Patrizia Sione -- Survival strategies in a Saxon textile district during the early phases of industrialization, 1780-1860 / Jean H. …”

Tabla de Contenidos: “…Conté: Koenig House #1, p.20; Lamel House, p.24; Squire House, p.28; Scott House, p.29; Burwash House, p.30; Radio Station KYOR, p.34; Metcalf House, p.36; Bailey House, p.48; Stahl House, p.60; Beidelman House, p.72; Seidel House / Rollé Additions, p.74; Seidel Beach House, p.84; Johnson House / Riebe Addition, p.88; Iwata House, p.94; Mosque, p.100; Oberman House, p.102; Beagles House, p.110; Bethlehem Steel Exhibit Pavilion, p.114; EEI Factory & Sales, p.116; West House, p.118; Franklyn Dinner Club, p.119; Burton Pole House, p1.20; Gantert House, p1.22; Stuermer House, p.128; Koenig House #2, p.130; Laguna House, p.146…”

Tabla de Contenidos: “…-- Gathering requirements for the self-service portal -- Requesting a data product zone -- Browse and reuse pipeline -- Data discovery -- Access management -- Requesting landing zones or data products -- Data catalog -- Hosting common data pipeline templates -- Azure Data Factory -- Azure Data Factory instance -- Integration runtime -- Creating linked services -- Create a sequence of activities -- Parameterize the pipeline -- Continuous integration/continuous development -- Data mesh portal integration -- Other common features of a self-service portal -- Architecting the self-service portal -- Active Directory and Domain Name System (DNS) -- Application Gateway -- Azure App Service -- Azure Cosmos DB -- Git Repo and Azure DevOps pipelines -- Network and security -- Azure Cache for Redis (optional) -- Azure SQL DB (optional) -- Summary -- Part 2: Practical Challenges of Implementing a Data Mesh -- Chapter 8: How to Design, Build, and Manage Data Contracts -- What are data contracts? …”

Acceso restringido usuarios UPSA

“…As you advance, you'll cover the design and implementation of batch processing solutions using Azure Data Factory, and understand how to manage, maintain, and secure Azure Data Factory pipelines. …”

“…The poems themselves comprise fantasies of killing David Cameron, dreams of being split open along a seam, basement songs, hundreds of pages of notes on working life in a privatized care home in Hove, East Sussex, a four-line slogan about the Cologne groping scandal of New Year 2016, variations on the Refugees Medical Phrasebook, a life wasted in a factory in Guangzhou, an autobiographical sci-fi internet fever dream, an anarchist elegy, and a refusal to argue. …”

“…In this O’Reilly report, Mike Barlow talks to several industry leaders about the effects of the indie hardware movement, the product innovation taking shape on the factory floors of Shenzhen, China, and GE’s vision of an Industrial Internet. …”

“…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…”

“…As more connected products are launched and kickstarted daily, it’s clear that homes have become a new data factory for entrepreneurs, designers, and developers. …”

“…Discover what design patterns are and when they are used in the Agile environment Exercise better control over object creation using the Factory, Builder, Singleton, Abstract, and Prototype design patterns Identify easier ways to realize relationships between entities using the Adapter, Decorator, Bridge, Facade, Composite, Flyweight, and Proxy design patterns Recognize common communication patterns between objects using the Template Method, Command, Chain of Responsibility, Iterator, Observer, Visitor, Mediator, Memento, Strategy, and State design patterns Examine the Active Object design pattern, an architectural solution to problems inherent in multi-threading Understand how the strengths and weaknesses of design patterns play off one another Learn how a given pattern can be implemented in various ways Alan Holub is one of the world’s top experts in object-oriented design techniques. …”

“…You will start by learning about creational patterns, including abstract factory, builder, prototype, and singleton. From there, Keith will teach you about structural patterns, such as adapter, bridge, composite, and facade. …”