Data Architecture And The Experience Of Place
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| Author | : Anastasia Karandinou |
| Publisher | : Routledge |
| Total Pages | : 386 |
| Release | : 2018-11-12 |
| Genre | : Architecture |
| ISBN | : 1351139304 |
The notion of data is increasingly encountered in spatial, creative and cultural studies. Big data and artificial intelligence are significantly influencing a number of disciplines. Processes, methods and vocabularies from sciences, architecture, arts are borrowed, discussed and tweaked, and new cross-disciplinary fields emerge. More and more, artists and designers are drawing on hard data to interpret the world and to create meaningful, sensuous environments. Architects are using neurophysiological data to improve their understanding of people’s experiences in built spaces. Different disciplines collaborate with scientists to visualise data in different and creative ways, revealing new connections, interpretations and readings. This often demonstrates a genuine desire to comprehend human behaviour and experience and to – possibly – inform design processes accordingly. At the same time, this opens up questions as to why this desire and curiosity is emerging now, how it relates to recent technological advances and how it converses with the cultural, philosophical and methodological context of the disciplines with which it engages. Questions are also raised as to how the use of data and data-informed methods may serve, support, promote and/or challenge political agendas. Data, Architecture and the Experience of Place provides an overview of new approaches on this significant subject and is ideal for students and researchers in digital architecture, architectural theory, design, digital media, sensory studies and related fields.
| Author | : Anastasia Karandinou |
| Publisher | : Routledge |
| Total Pages | : 236 |
| Release | : 2018-11-12 |
| Genre | : Architecture |
| ISBN | : 1351139312 |
The notion of data is increasingly encountered in spatial, creative and cultural studies. Big data and artificial intelligence are significantly influencing a number of disciplines. Processes, methods and vocabularies from sciences, architecture, arts are borrowed, discussed and tweaked, and new cross-disciplinary fields emerge. More and more, artists and designers are drawing on hard data to interpret the world and to create meaningful, sensuous environments. Architects are using neurophysiological data to improve their understanding of people’s experiences in built spaces. Different disciplines collaborate with scientists to visualise data in different and creative ways, revealing new connections, interpretations and readings. This often demonstrates a genuine desire to comprehend human behaviour and experience and to – possibly – inform design processes accordingly. At the same time, this opens up questions as to why this desire and curiosity is emerging now, how it relates to recent technological advances and how it converses with the cultural, philosophical and methodological context of the disciplines with which it engages. Questions are also raised as to how the use of data and data-informed methods may serve, support, promote and/or challenge political agendas. Data, Architecture and the Experience of Place provides an overview of new approaches on this significant subject and is ideal for students and researchers in digital architecture, architectural theory, design, digital media, sensory studies and related fields.
| Author | : Piethein Strengholt |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 404 |
| Release | : 2020-07-29 |
| Genre | : Computers |
| ISBN | : 1492054739 |
As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you’ll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption. Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including technological developments, regulatory requirements, and privacy concerns Go deep into the Scaled Architecture and learn how the pieces fit together Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata
| Author | : William H. Inmon |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2015 |
| Genre | : Big data |
| ISBN | : |
| Author | : Mark Humphries |
| Publisher | : Prentice Hall Professional |
| Total Pages | : 384 |
| Release | : 1999 |
| Genre | : Computers |
| ISBN | : 9780130809025 |
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| Author | : Justin B. Hollander |
| Publisher | : Taylor & Francis |
| Total Pages | : 253 |
| Release | : 2020-10-15 |
| Genre | : Architecture |
| ISBN | : 1000178358 |
Embracing a biological and evolutionary perspective to explain the human experience of place, Urban Experience and Design explores how cognitive science and biometric tools provide an evidence-based foundation for architecture and planning. Aiming to promote the creation of a healthier and happier public realm, this book describes how unconscious responses to stimuli, outside our conscious awareness, direct our experience of the built environment and govern human behavior in our surroundings. This collection contains 15 chapters, including contributions from researchers in the US, the UK, the Netherlands, France and Iran. Addressing topics such as the impact of eye-tracking analysis and seeing beauty and empathy within buildings, Urban Experience and Design encourages us to reframe our understanding of design, including the narrative of how modern architecture and planning came to be in the first place. This volume invites students, academics and scholars to see how cognitive science and biometric findings give us remarkable 21st-century metrics for evaluating and improving designs, even before they are built.
| Author | : Charles Tupper |
| Publisher | : Elsevier |
| Total Pages | : 442 |
| Release | : 2011-05-09 |
| Genre | : Computers |
| ISBN | : 0123851270 |
Data Architecture: From Zen to Reality explains the principles underlying data architecture, how data evolves with organizations, and the challenges organizations face in structuring and managing their data. Using a holistic approach to the field of data architecture, the book describes proven methods and technologies to solve the complex issues dealing with data. It covers the various applied areas of data, including data modelling and data model management, data quality, data governance, enterprise information management, database design, data warehousing, and warehouse design. This text is a core resource for anyone customizing or aligning data management systems, taking the Zen-like idea of data architecture to an attainable reality. The book presents fundamental concepts of enterprise architecture with definitions and real-world applications and scenarios. It teaches data managers and planners about the challenges of building a data architecture roadmap, structuring the right team, and building a long term set of solutions. It includes the detail needed to illustrate how the fundamental principles are used in current business practice. The book is divided into five sections, one of which addresses the software-application development process, defining tools, techniques, and methods that ensure repeatable results. Data Architecture is intended for people in business management involved with corporate data issues and information technology decisions, ranging from data architects to IT consultants, IT auditors, and data administrators. It is also an ideal reference tool for those in a higher-level education process involved in data or information technology management. Presents fundamental concepts of enterprise architecture with definitions and real-world applications and scenarios Teaches data managers and planners about the challenges of building a data architecture roadmap, structuring the right team, and building a long term set of solutions Includes the detail needed to illustrate how the fundamental principles are used in current business practice
| Author | : Andrea Resmini |
| Publisher | : Elsevier |
| Total Pages | : 273 |
| Release | : 2011-03-23 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 0123820952 |
Pervasive Information Architecture explains the ‘why’ and ‘how’ of pervasive information architecture (IA) through detailed examples and real-world stories. It offers insights about trade-offs that can be made and techniques for even the most unique design challenges. The book will help readers master agile information structures while meeting their unique needs on such devices as smart phones, GPS systems, and tablets. The book provides examples showing how to: model and shape information to adapt itself to users’ needs, goals, and seeking strategies; reduce disorientation and increase legibility and way-finding in digital and physical spaces; and alleviate the frustration associated with choosing from an ever-growing set of information, services, and goods. It also describes relevant connections between pieces of information, services and goods to help users achieve their goals. This book will be of value to practitioners, researchers, academics, andstudents in user experience design, usability, information architecture, interaction design, HCI, web interaction/interface designer, mobile application design/development, and information design. Architects and industrial designers moving into the digital realm will also find this book helpful. Master agile information structures while meeting the unique user needs on such devices as smart phones, GPS systems, and tablets Find out the ‘why’ and ‘how’ of pervasive information architecture (IA) through detailed examples and real-world stories Learn about trade-offs that can be made and techniques for even the most unique design challenges
| Author | : W.H. Inmon |
| Publisher | : Academic Press |
| Total Pages | : 431 |
| Release | : 2019-04-30 |
| Genre | : Computers |
| ISBN | : 0128169176 |
Over the past 5 years, the concept of big data has matured, data science has grown exponentially, and data architecture has become a standard part of organizational decision-making. Throughout all this change, the basic principles that shape the architecture of data have remained the same. There remains a need for people to take a look at the "bigger picture" and to understand where their data fit into the grand scheme of things. Data Architecture: A Primer for the Data Scientist, Second Edition addresses the larger architectural picture of how big data fits within the existing information infrastructure or data warehousing systems. This is an essential topic not only for data scientists, analysts, and managers but also for researchers and engineers who increasingly need to deal with large and complex sets of data. Until data are gathered and can be placed into an existing framework or architecture, they cannot be used to their full potential. Drawing upon years of practical experience and using numerous examples and case studies from across various industries, the authors seek to explain this larger picture into which big data fits, giving data scientists the necessary context for how pieces of the puzzle should fit together. New case studies include expanded coverage of textual management and analytics New chapters on visualization and big data Discussion of new visualizations of the end-state architecture
| Author | : Sally Augustin |
| Publisher | : John Wiley & Sons |
| Total Pages | : 433 |
| Release | : 2015-09-23 |
| Genre | : Architecture |
| ISBN | : 1119214378 |
Using psychology to develop spaces that enrich human experience Place design matters. Everyone perceives the world around them in a slightly different way, but there are fundamental laws that describe how people experience their physical environments. Place science principles can be applied in homes, schools, stores, restaurants, workplaces, healthcare facilities, and the other spaces people inhabit. This guide to person-centered place design shows architects, landscape architects, interior designers, and other interested individuals how to develop spaces that enrich human experience using concepts derived from rigorous qualitative and quantitative research. In Place Advantage: Applied Psychology for Interior Architecture, applied environmental psychologist Sally Augustin offers design practitioners accessible environmental psychological insights into how elements of the physical environment influence human attitudes and behaviors. She introduces the general principles of place science and shows how factors such as colors, scents, textures, and the spatial composition of a room, as well as personality and cultural identity, impact the experience of a place. These principles are applied to multiple building types, including residences, workplaces, healthcare facilities, schools, and retail spaces. Building a bridge between research and design practice, Place Advantage gives people designing and using spaces the evidence-based information and psychological insight to create environments that encourage people to work effectively, learn better, get healthy, and enjoy life.
