Data Matter Design
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Data Matter Design
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Author : Frank Melendez
language : en
Publisher: Routledge
Release Date : 2020-09-29
Data Matter Design written by Frank Melendez and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-29 with Architecture categories.
Data, Matter, Design presents a comprehensive overview of current design processes that rely on the input of data and use of computational design strategies, and their relationship to an array of outputs. Technological changes, through the use of computational tools and processes, have radically altered and influenced our relationship to cities and the methods by which we design architecture, urban, and landscape systems. This book presents a wide range of curated projects and contributed texts by leading architects, urbanists, and designers that transform data as an abstraction, into spatial, experiential, and performative configurations within urban ecologies, emerging materials, robotic agents, adaptive fields, and virtual constructs. Richly illustrated with over 200 images, Data, Matter, Design is an essential read for students, academics, and professionals to evaluate and discuss how data in design methodologies and theoretical discourses have evolved in the last two decades and why processes of data collection, measurement, quantification, simulation, algorithmic control, and their integration into methods of reading and producing spatial conditions, are becoming vital in academic and industry practices.
New Challenges For Data Design
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Author : David Bihanic
language : en
Publisher: Springer
Release Date : 2014-12-27
New Challenges For Data Design written by David Bihanic and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-27 with Technology & Engineering categories.
The present work provides a platform for leading Data designers whose vision and creativity help us to anticipate major changes occurring in the Data Design field, and pre-empt the future. Each of them strives to provide new answers to the question, “What challenges await Data Design?” To avoid falling into too narrow a mind-set, each works hard to elucidate the breadth of Data Design today and to demonstrate its widespread application across a variety of business sectors. With end users in mind, designer-contributors bring to light the myriad of purposes for which the field was originally intended, forging the bond even further between Data Design and the aims and intentions of those who contribute to it. The first seven parts of the book outline the scope of Data Design, and presents a line-up of “viewpoints” that highlight this discipline’s main topics, and offers an in-depth look into practices boasting both foresight and imagination. The eighth and final part features a series of interviews with Data designers and artists whose methods embody originality and marked singularity. As a result, a number of enlightening concepts and bright ideas unfold within the confines of this book to help dispel the thick fog around this new and still relatively unknown discipline. A plethora of equally eye-opening and edifying new terms, words, and key expressions also unfurl. Informing, influencing, and inspiring are just a few of the buzz words belonging to an initiative that is, first and foremost, a creative one, not to mention the possibility to discern the ever-changing and naturally complex nature of today’s datasphere. Providing an invaluable and cutting-edge resource for design researchers, this work is also intended for students, professionals and practitioners involved in Data Design, Interaction Design, Digital & Media Design, Data & Information Visualization, Computer Science and Engineering.
Autographic Design
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Author : Dietmar Offenhuber
language : en
Publisher: MIT Press
Release Date : 2023-12-19
Autographic Design written by Dietmar Offenhuber and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-19 with Computers categories.
An ambitious vision for design based on the premise that data is material, not abstract. Data analysis and visualization are crucial tools in today's society, and digital representations have steadily become the default. Yet, more and more often, we find that citizen scientists, environmental activists, and forensic amateurs are using analog methods to present evidence of pollution, climate change, and the spread of disinformation. In this illuminating book, Dietmar Offenhuber presents a model for these practices, a model to make data generation accountable: autographic design. Autographic refers to the notion that every event inscribes itself in countless ways. Think of a sundial, for example—a perfectly autographic device that displays information on itself. Inspired by such post-digital practices of visualization and evidence construction, Offenhuber describes an approach to visualization based on the premise that data is a material entity rather than an abstract representation. Emerson wrote, “Every act of the man inscribes itself in the memories of his fellows, and in his own manners and face.” In Autographic Design, Offenhuber introduces a model for design that emphasizes traces, imprints, and self-inscriptions, turning them into sensory displays. In an age where misinformation is harder and harder to identify, Autographic Design makes an urgent and persuasive case for a different approach that calls attention to the production of data and its connection to the material world.
Designing Cloud Data Platforms
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Author : Danil Zburivsky
language : en
Publisher: Simon and Schuster
Release Date : 2021-04-20
Designing Cloud Data Platforms written by Danil Zburivsky and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-20 with Computers categories.
Centralized data warehouses, the long-time defacto standard for housing data for analytics, are rapidly giving way to multi-faceted cloud data platforms. Companies that embrace modern cloud data platforms benefit from an integrated view of their business using all of their data and can take advantage of advanced analytic practices to drive predictions and as yet unimagined data services. Designing Cloud Data Platforms is an hands-on guide to envisioning and designing a modern scalable data platform that takes full advantage of the flexibility of the cloud. As you read, you''ll learn the core components of a cloud data platform design, along with the role of key technologies like Spark and Kafka Streams. You''ll also explore setting up processes to manage cloud-based data, keep it secure, and using advanced analytic and BI tools to analyse it. about the technology Access to affordable, dependable, serverless cloud services has revolutionized the way organizations can approach data management, and companies both big and small are raring to migrate to the cloud. But without a properly designed data platform, data in the cloud can remain just as siloed and inaccessible as it is today for most organizations. Designing Cloud Data Platforms lays out the principles of a well-designed platform that uses the scalable resources of the public cloud to manage all of an organization''s data, and present it as useful business insights. about the book In Designing Cloud Data Platforms, you''ll learn how to integrate data from multiple sources into a single, cloud-based, modern data platform. Drawing on their real-world experiences designing cloud data platforms for dozens of organizations, cloud data experts Danil Zburivsky and Lynda Partner take you through a six-layer approach to creating cloud data platforms that maximizes flexibility and manageability and reduces costs. Starting with foundational principles, you''ll learn how to get data into your platform from different databases, files, and APIs, the essential practices for organizing and processing that raw data, and how to best take advantage of the services offered by major cloud vendors. As you progress past the basics you''ll take a deep dive into advanced topics to get the most out of your data platform, including real-time data management, machine learning analytics, schema management, and more. what''s inside The tools of different public cloud for implementing data platforms Best practices for managing structured and unstructured data sets Machine learning tools that can be used on top of the cloud Cost optimization techniques about the reader For data professionals familiar with the basics of cloud computing and distributed data processing systems like Hadoop and Spark. about the authors Danil Zburivsky has over 10 years experience designing and supporting large-scale data infrastructure for enterprises across the globe. Lynda Partner is the VP of Analytics-as-a-Service at Pythian, and has been on the business side of data for over 20 years.
Data Mapping For Data Warehouse Design
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Author : Qamar Shahbaz
language : en
Publisher: Elsevier
Release Date : 2015-12-08
Data Mapping For Data Warehouse Design written by Qamar Shahbaz and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-08 with Computers categories.
Data mapping in a data warehouse is the process of creating a link between two distinct data models’ (source and target) tables/attributes. Data mapping is required at many stages of DW life-cycle to help save processor overhead; every stage has its own unique requirements and challenges. Therefore, many data warehouse professionals want to learn data mapping in order to move from an ETL (extract, transform, and load data between databases) developer to a data modeler role. Data Mapping for Data Warehouse Design provides basic and advanced knowledge about business intelligence and data warehouse concepts including real life scenarios that apply the standard techniques to projects across various domains. After reading this book, readers will understand the importance of data mapping across the data warehouse life cycle. Covers all stages of data warehousing and the role of data mapping in each Includes a data mapping strategy and techniques that can be applied to many situations Based on the author’s years of real-world experience designing solutions
Analysis Of Messy Data Volume 1
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Author : George A. Milliken
language : en
Publisher: CRC Press
Release Date : 2009-03-02
Analysis Of Messy Data Volume 1 written by George A. Milliken and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-02 with Mathematics categories.
A bestseller for nearly 25 years, Analysis of Messy Data, Volume 1: Designed Experiments helps applied statisticians and researchers analyze the kinds of data sets encountered in the real world. Written by two long-time researchers and professors, this second edition has been fully updated to reflect the many developments that have occurred since t
Data Architecture
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Author : Charles Tupper
language : en
Publisher: Elsevier
Release Date : 2011-05-09
Data Architecture written by Charles Tupper and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-09 with Computers categories.
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
Mr Imaging In White Matter Diseases Of The Brain And Spinal Cord
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Author : Massimo Filippi
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-12-29
Mr Imaging In White Matter Diseases Of The Brain And Spinal Cord written by Massimo Filippi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-29 with Medical categories.
In recent decades, the use of neuroimaging techniques has resulted in outstanding progress in the diagnosis and management of neurological diseases, and this is particularly true of those diseases that affect the white matter of the brain and spinal cord. This book, written by internationally acclaimed experts, comprises a series of comprehensive and up-to-date reviews on the use of MR imaging in these major neurological conditions. The diverse available MR techniques, such as magnetization transfer MRI, diffusion-weighted MRI, MR spectroscopy, functional MRI, cell-specific MRI, perfusion MRI, and microscopic imaging with ultra-high field MRI, offer an extraordinarily powerful means of gaining fundamental in vivo insights into disease processes. The strengths and weaknesses of all these techniques in the study of multiple sclerosis and other relevant diseases are extensively considered. After an introductory section on neuroimaging technology, subsequent sections address disorders of myelination, demyelinating diseases, immune-mediated disorders, and white matter disorders related to aging and other conditions. This book provides a valuable summary of the state of the art in the field, and defines important areas for future research.
Make Design Matter
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Author : David Carlson
language : en
Publisher: BIS Publishers
Release Date : 2012-12-25
Make Design Matter written by David Carlson and has been published by BIS Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-25 with Design categories.
A pocket guide to meaningful design in seven steps.
A Practical Guide To Designing With Data
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Author : Brian Suda
language : en
Publisher:
Release Date : 2010
A Practical Guide To Designing With Data written by Brian Suda and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.