Data, Architecture and the Experience of Place

Data, Architecture and the Experience of Place

Author: Anastasia Karandinou

Publisher: Routledge

Published: 2018-11-12

Total Pages: 236

ISBN-13: 1351139312

DOWNLOAD EBOOK

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.


Book Synopsis Data, Architecture and the Experience of Place by : Anastasia Karandinou

Download or read book Data, Architecture and the Experience of Place written by Anastasia Karandinou and published by Routledge. This book was released on 2018-11-12 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Data, Architecture and the Experience of Place

Author: Anastasia Karandinou

Publisher: Routledge

Published: 2018-11-12

Total Pages: 386

ISBN-13: 1351139304

DOWNLOAD EBOOK

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.


Book Synopsis Data, Architecture and the Experience of Place by : Anastasia Karandinou

Download or read book Data, Architecture and the Experience of Place written by Anastasia Karandinou and published by Routledge. This book was released on 2018-11-12 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Management at Scale

Data Management at Scale

Author: Piethein Strengholt

Publisher: "O'Reilly Media, Inc."

Published: 2020-07-29

Total Pages: 404

ISBN-13: 1492054739

DOWNLOAD EBOOK

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


Book Synopsis Data Management at Scale by : Piethein Strengholt

Download or read book Data Management at Scale written by Piethein Strengholt and published by "O'Reilly Media, Inc.". This book was released on 2020-07-29 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Data Architecture: A Primer for the Data Scientist

Data Architecture: A Primer for the Data Scientist

Author: W.H. Inmon

Publisher: Academic Press

Published: 2019-04-30

Total Pages: 431

ISBN-13: 0128169176

DOWNLOAD EBOOK

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


Book Synopsis Data Architecture: A Primer for the Data Scientist by : W.H. Inmon

Download or read book Data Architecture: A Primer for the Data Scientist written by W.H. Inmon and published by Academic Press. This book was released on 2019-04-30 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Place Advantage

Place Advantage

Author: Sally Augustin

Publisher: John Wiley & Sons

Published: 2015-09-23

Total Pages: 312

ISBN-13: 1119214378

DOWNLOAD EBOOK

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.


Book Synopsis Place Advantage by : Sally Augustin

Download or read book Place Advantage written by Sally Augustin and published by John Wiley & Sons. This book was released on 2015-09-23 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Urban Experience and Design

Urban Experience and Design

Author: Justin B. Hollander

Publisher: Taylor & Francis

Published: 2020-10-15

Total Pages: 253

ISBN-13: 1000178358

DOWNLOAD EBOOK

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.


Book Synopsis Urban Experience and Design by : Justin B. Hollander

Download or read book Urban Experience and Design written by Justin B. Hollander and published by Taylor & Francis. This book was released on 2020-10-15 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Cassandra: The Definitive Guide

Cassandra: The Definitive Guide

Author: Jeff Carpenter

Publisher: "O'Reilly Media, Inc."

Published: 2016-06-29

Total Pages: 369

ISBN-13: 1491933631

DOWNLOAD EBOOK

Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you’ll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This expanded second edition—updated for Cassandra 3.0—provides the technical details and practical examples you need to put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra’s non-relational design, with special attention to data modeling. If you’re a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you harness Cassandra’s speed and flexibility. Understand Cassandra’s distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh—the CQL shell Create a working data model and compare it with an equivalent relational model Develop sample applications using client drivers for languages including Java, Python, and Node.js Explore cluster topology and learn how nodes exchange data Maintain a high level of performance in your cluster Deploy Cassandra on site, in the Cloud, or with Docker Integrate Cassandra with Spark, Hadoop, Elasticsearch, Solr, and Lucene


Book Synopsis Cassandra: The Definitive Guide by : Jeff Carpenter

Download or read book Cassandra: The Definitive Guide written by Jeff Carpenter and published by "O'Reilly Media, Inc.". This book was released on 2016-06-29 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you’ll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This expanded second edition—updated for Cassandra 3.0—provides the technical details and practical examples you need to put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra’s non-relational design, with special attention to data modeling. If you’re a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you harness Cassandra’s speed and flexibility. Understand Cassandra’s distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh—the CQL shell Create a working data model and compare it with an equivalent relational model Develop sample applications using client drivers for languages including Java, Python, and Node.js Explore cluster topology and learn how nodes exchange data Maintain a high level of performance in your cluster Deploy Cassandra on site, in the Cloud, or with Docker Integrate Cassandra with Spark, Hadoop, Elasticsearch, Solr, and Lucene

Data Architecture

Data Architecture

Author: William H. Inmon

Publisher:

Published: 2015

Total Pages: 0

ISBN-13:

DOWNLOAD EBOOK


Book Synopsis Data Architecture by : William H. Inmon

Download or read book Data Architecture written by William H. Inmon and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Boredom, Architecture, and Spatial Experience

Boredom, Architecture, and Spatial Experience

Author: Christian Parreno

Publisher: Bloomsbury Publishing

Published: 2021-02-11

Total Pages: 384

ISBN-13: 1350148156

DOWNLOAD EBOOK

Boredom is a ubiquitous feature of modern life. Endured by everyone, it is both cause and effect of modernity, and of situations, spaces and surroundings. As such, this book argues, boredom shares an intimate relationship with architecture-one that has been seldom explored in architectural history and theory. Boredom, Architecture, and Spatial Experience investigates that relationship, showing how an understanding of boredom affords us a new way of looking at and understanding the modern experience. It reconstructs a series of episodes in architectural history, from the 19th century to the present, to survey how boredom became a normalized component of the everyday, how it infiltrated into the production and reception of architecture, and how it serves to diagnose moments of crisis in the continuous transformations of the built environment. Erudite and innovative, the work moves deftly from architectural theory and philosophy to literature and psychology to make its case. Combining archival material, scholarly sources, and illuminating excerpts from conversations with practitioners and thinkers-including Charles Jencks, Rem Koolhaas, Sylvia Lavin, and Jorge Silvetti-it reveals the complexity and importance of boredom in architecture.


Book Synopsis Boredom, Architecture, and Spatial Experience by : Christian Parreno

Download or read book Boredom, Architecture, and Spatial Experience written by Christian Parreno and published by Bloomsbury Publishing. This book was released on 2021-02-11 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Boredom is a ubiquitous feature of modern life. Endured by everyone, it is both cause and effect of modernity, and of situations, spaces and surroundings. As such, this book argues, boredom shares an intimate relationship with architecture-one that has been seldom explored in architectural history and theory. Boredom, Architecture, and Spatial Experience investigates that relationship, showing how an understanding of boredom affords us a new way of looking at and understanding the modern experience. It reconstructs a series of episodes in architectural history, from the 19th century to the present, to survey how boredom became a normalized component of the everyday, how it infiltrated into the production and reception of architecture, and how it serves to diagnose moments of crisis in the continuous transformations of the built environment. Erudite and innovative, the work moves deftly from architectural theory and philosophy to literature and psychology to make its case. Combining archival material, scholarly sources, and illuminating excerpts from conversations with practitioners and thinkers-including Charles Jencks, Rem Koolhaas, Sylvia Lavin, and Jorge Silvetti-it reveals the complexity and importance of boredom in architecture.

Salesforce Data Architecture and Management

Salesforce Data Architecture and Management

Author: Ahsan Zafar

Publisher: Packt Publishing Ltd

Published: 2021-07-30

Total Pages: 376

ISBN-13: 1801076901

DOWNLOAD EBOOK

Learn everything you need to become a successful data architect on the Salesforce platform Key Features Adopt best practices relating to data governance and learn how to implement them Learn how to work with data in Salesforce while maintaining scalability and security of an instance Gain insights into managing large data volumes in Salesforce Book Description As Salesforce orgs mature over time, data management and integrations are becoming more challenging than ever. Salesforce Data Architecture and Management follows a hands-on approach to managing data and tracking the performance of your Salesforce org. You'll start by understanding the role and skills required to become a successful data architect. The book focuses on data modeling concepts, how to apply them in Salesforce, and how they relate to objects and fields in Salesforce. You'll learn the intricacies of managing data in Salesforce, starting from understanding why Salesforce has chosen to optimize for read rather than write operations. After developing a solid foundation, you'll explore examples and best practices for managing your data. You'll understand how to manage your master data and discover what the Golden Record is and why it is important for organizations. Next, you'll learn how to align your MDM and CRM strategy with a discussion on Salesforce's Customer 360 and its key components. You'll also cover data governance, its multiple facets, and how GDPR compliance can be achieved with Salesforce. Finally, you'll discover Large Data Volumes (LDVs) and best practices for migrating data using APIs. By the end of this book, you'll be well-versed with data management, data backup, storage, and archiving in Salesforce. What you will learn Understand the Salesforce data architecture Explore various data backup and archival strategies Understand how the Salesforce platform is designed and how it is different from other relational databases Uncover tools that can help in data management that minimize data trust issues in your Salesforce org Focus on the Salesforce Customer 360 platform, its key components, and how it can help organizations in connecting with customers Discover how Salesforce can be used for GDPR compliance Measure and monitor the performance of your Salesforce org Who this book is for This book is for aspiring architects, Salesforce admins, and developers. You will also find the book useful if you're preparing for the Salesforce Data Architecture and Management exam. A basic understanding of Salesforce is assumed.


Book Synopsis Salesforce Data Architecture and Management by : Ahsan Zafar

Download or read book Salesforce Data Architecture and Management written by Ahsan Zafar and published by Packt Publishing Ltd. This book was released on 2021-07-30 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn everything you need to become a successful data architect on the Salesforce platform Key Features Adopt best practices relating to data governance and learn how to implement them Learn how to work with data in Salesforce while maintaining scalability and security of an instance Gain insights into managing large data volumes in Salesforce Book Description As Salesforce orgs mature over time, data management and integrations are becoming more challenging than ever. Salesforce Data Architecture and Management follows a hands-on approach to managing data and tracking the performance of your Salesforce org. You'll start by understanding the role and skills required to become a successful data architect. The book focuses on data modeling concepts, how to apply them in Salesforce, and how they relate to objects and fields in Salesforce. You'll learn the intricacies of managing data in Salesforce, starting from understanding why Salesforce has chosen to optimize for read rather than write operations. After developing a solid foundation, you'll explore examples and best practices for managing your data. You'll understand how to manage your master data and discover what the Golden Record is and why it is important for organizations. Next, you'll learn how to align your MDM and CRM strategy with a discussion on Salesforce's Customer 360 and its key components. You'll also cover data governance, its multiple facets, and how GDPR compliance can be achieved with Salesforce. Finally, you'll discover Large Data Volumes (LDVs) and best practices for migrating data using APIs. By the end of this book, you'll be well-versed with data management, data backup, storage, and archiving in Salesforce. What you will learn Understand the Salesforce data architecture Explore various data backup and archival strategies Understand how the Salesforce platform is designed and how it is different from other relational databases Uncover tools that can help in data management that minimize data trust issues in your Salesforce org Focus on the Salesforce Customer 360 platform, its key components, and how it can help organizations in connecting with customers Discover how Salesforce can be used for GDPR compliance Measure and monitor the performance of your Salesforce org Who this book is for This book is for aspiring architects, Salesforce admins, and developers. You will also find the book useful if you're preparing for the Salesforce Data Architecture and Management exam. A basic understanding of Salesforce is assumed.