Data Architecture And The Experience Of Place
Download Data Architecture And The Experience Of Place PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Data Architecture And The Experience Of Place book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Data, Architecture and the Experience of Place
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.
Data, Architecture and the Experience of Place
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.
Data Architecture
Data is an expensive and expansive asset. Information hunger has forced retention capacity from megabytes to terabytes of data. Millions of dollars are spent accumulating data, and millions more are paid to the professional staff that nurture, secure, and extract information out of these billions of bytes of data. To ensure that it is usable, data must be structured in a flexible manner that is responsive to change, and is readily available for access. This book explains the principles underlying data architecture, how data evolves with organizations, the challenges organizations face in structuring and managing data, and the proven methods and technologies to solve these complex issues. The author takes a holistic approach to the field of data architecture from various applied perspectives, including data modeling, data quality, enterprise information management, database design, data warehousing, and data governance. Key Features Explains the fundamental concepts of enterprise architecture through definitions and real-world scenarios Teaches data managers and planners how to build a data architecture roadmap, structure the right team, and build a set of solutions for the various challenges they face Offers concise case studies that highlight how fundamental principles are put into practice.