Difference between revisions of "Data Science"
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{{WikiEntry|key=Data science|qCode=2374463}} is a term popularized with the development of [[artificial intelligence]] as a branch of [[computing science]] or [[computer science]]. The idea of [[dataism]]<ref>{{:Video/Dr. Yuval Noah Harari - Data Processing - Part 1}}</ref>, also propelled the notion of claiming the direct study of data as a branch of science by itself. The emergence of Data Science has to do with [[Moore's Law]], since it is one of the first well-known document that relates data with physical sizes and social and economical implications. | {{WikiEntry|key=Data science|qCode=2374463}} is a term popularized with the development of [[artificial intelligence]] as a branch of [[computing science]] or [[computer science]]. The idea of [[dataism]]<ref>{{:Video/Dr. Yuval Noah Harari - Data Processing - Part 1}}</ref>, also propelled the notion of claiming the direct study of data as a branch of science by itself. The emergence of Data Science has to do with [[Moore's Law]], since it is one of the first well-known document that relates data with physical sizes and social and economical implications. | ||
=An outline of Data Science= | |||
There are a few critical areas<ref>{{:Video/What are the 11 key areas of Data Management and specific data roles?}}</ref> of Data Science that must be explicitly mentioned here: | |||
# [[Data Governance]] | |||
# [[Data Architecture]] | |||
# [[Data Modeling and Design]] | |||
# [[Data Storage and Operations]] | |||
# [[Data Security]] | |||
# [[Data Integration]] | |||
# [[Documentation and Content]] | |||
# [[Master Data Management]] | |||
# [[Data Warehouse and Business Intelligence]] | |||
# [[Meta Data Management]] | |||
# [[Data Quality]] | |||
=Data Science and Quantum Computing= | =Data Science and Quantum Computing= | ||
Revision as of 19:00, 20 February 2022
Data science(Q2374463) is a term popularized with the development of artificial intelligence as a branch of computing science or computer science. The idea of dataism[1], also propelled the notion of claiming the direct study of data as a branch of science by itself. The emergence of Data Science has to do with Moore's Law, since it is one of the first well-known document that relates data with physical sizes and social and economical implications.
An outline of Data Science
There are a few critical areas[2] of Data Science that must be explicitly mentioned here:
- Data Governance
- Data Architecture
- Data Modeling and Design
- Data Storage and Operations
- Data Security
- Data Integration
- Documentation and Content
- Master Data Management
- Data Warehouse and Business Intelligence
- Meta Data Management
- Data Quality
Data Science and Quantum Computing
Data science as a scientific field can be related to the proposition that quantum computing can be treated as a scientific field. Quantum, being a unit of information, can be used to encode or represent data using varying physical phenomenon. The ability to utilize either the actual data content, or the algorithmic/physical implementations of algorithmic processing of data, must be bounded by the scientists' ability to merge or push the boundaries of either data science or quantum computing. One can think of data science as a branch of science that treats data as a noun-oriented abstraction, and quantum computing thinks of realizing computing activities using quantum physical processes being a verb-oriented abstraction.
For a more technical treatment of this subject, please see the following video[3]:
Introduction to Data Science: An overview by Steve Brunton
{{#ev:youtube |pzo13OPXZS4 }}
References
- ↑ Harari, Yuval (Apr 19, 2013). Dr. Yuval Noah Harari - Data Processing - Part 1. local page: Yuval Noah Harari.
- ↑ Tiwari, Anshul (Feb 16, 2022). What are the 11 key areas of Data Management and specific data roles?. local page: IT k Funde.
- ↑ Brunton, Steve (Jun 6, 2019). Intro to Data Science: Overview. local page.
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