Data Science

Data science(Q2374463) is a term popularized with the development of artificial intelligence as a branch of computing science or computer science. According to David Spivak, the science of data can be formalized as categorized raw data. The idea of dataism, 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 Management

If one considers Data as an asset, then, it can be divided into the following areas of activities: Anshul Tiwari, a data engineer stated that there are at least 11 areas of data management activities:

1. Data Governance
2. Data Architecture
3. Data Modeling and Design
4. Data Storage and Operations
5. Data Security
6. Data Integration
7. Documentation and Content
8. Master Data Management
9. Data Warehouse and Business Intelligence
10. Meta Data Management
11. 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:

References

Related Pages

• Data Science

A

• A computable framework for accountable data assets
• API economy
• API first design
• API lifecycle management
• Abstract Interpretation
• Account
• Accounting system
• Alan Sangster
• Apache Kafka
• Arthur Cayley
• Assign physical meaning to data
• Auditability

B

• Backup and Restore
• Bilinear map
• Bit
• Bob Coecke
• Book/A Compositional Framework for Passive Linear Networks

B cont.

• Book/API-as-a-Product
• Book/Algebraic Models for Accounting Systems
• Book/Analysis and Control of Boolean Networks A Semi-tensor Product Approach
• Book/Axiomatic design
• Book/Axiomatic design and fabrication of composite structures
• Book/Category Theory for Programmers
• Book/China A Macro History
• Book/Combinatorial Physics
• Book/Complexity-theory and applications
• Book/Data Governance - The Definitive Guide
• Book/Data Governance and Data Management
• Book/Digital Accounting: The Effects of the Internet and ERP on Accounting
• Book/Double Entry
• Book/Enterprise Data at Huawei
• Book/From Frege to Gödel
• Book/From Word to Sentence: a computational algebraic approach to grammar
• Book/Galois Connections and Applications

B cont.

• Book/General Theory of Relativity
• Book/Group Theory in a Nutshell for Physicists
• Book/Handbook on Business Process Management
• Book/Introduction to Linear Algebra
• Book/Joachim Lambek: The Interplay of Mathematics, Logic, and Linguistics
• Book/Linear Algebra
• Book/Linear Algebra Done Right
• Book/Mathematical Foundations of Computational Engineering
• Book/On the Path of Albert Einstein
• Book/PMBOK
• Book/Picturing Quantum Processes
• Book/Principles of Abstract Interpretation
• Book/Principles of Corporate Finance
• Book/Programs Grammars Arguments
• Book/Project Management for Modern Information Systems
• Book/QUANTUM UNSPEAKABLES II Half a Century of Bell’s Theorem
• ... further results