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...
Đã lưu trong:
| Tác giả chính: | |
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
| Được phát hành: |
Springer
2015
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| Những chủ đề: | |
| Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/56291 |
| Các nhãn: |
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| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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| Tóm tắt: | 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.... |
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