New Challenges for Data Design
Given the “information overload”1 erupting from an exponentially growing amount of data being produced, exchanged, and generated electronically,2 Data design is now, more than ever, paramount in not only addressing the material nature and behavior of such piles of unstructured raw data, but also...
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2015
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| Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/56291 |
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oai:scholar.dlu.edu.vn:DLU123456789-562912023-11-11T05:33:17Z New Challenges for Data Design Bihanic, David Design Data Given the “information overload”1 erupting from an exponentially growing amount of data being produced, exchanged, and generated electronically,2 Data design is now, more than ever, paramount in not only addressing the material nature and behavior of such piles of unstructured raw data, but also in ascertaining a spectrum of new user scenarios there within. A cross between the arts and design science, its focus is on deploying both practical and semantic types and solutions that not only represent data flows (data production, transactions, and generation) and data clusters (semantic data-mapping), but also visualize volume changes in line with a number of parameters and methods.... 2015-06-12T09:29:32Z 2015-06-12T09:29:32Z 2015 Book 978-1-4471-6595-8 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/56291 en application/pdf Springer |
| institution |
Thư viện Trường Đại học Đà Lạt |
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Thư viện số |
| language |
English |
| topic |
Design Data |
| spellingShingle |
Design Data Bihanic, David New Challenges for Data Design |
| description |
Given the “information overload”1 erupting from an exponentially growing amount
of data being produced, exchanged, and generated electronically,2 Data design is
now, more than ever, paramount in not only addressing the material nature and
behavior of such piles of unstructured raw data, but also in ascertaining a spectrum
of new user scenarios there within. A cross between the arts and design science, its
focus is on deploying both practical and semantic types and solutions that not only
represent data flows (data production, transactions, and generation) and data clusters (semantic data-mapping), but also visualize volume changes in line with a
number of parameters and methods.... |
| format |
Book |
| author |
Bihanic, David |
| author_facet |
Bihanic, David |
| author_sort |
Bihanic, David |
| title |
New Challenges
for Data Design |
| title_short |
New Challenges
for Data Design |
| title_full |
New Challenges
for Data Design |
| title_fullStr |
New Challenges
for Data Design |
| title_full_unstemmed |
New Challenges
for Data Design |
| title_sort |
new challenges
for data design |
| publisher |
Springer |
| publishDate |
2015 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/56291 |
| _version_ |
1782542319996633088 |