19 January 2018

Data Science: Structured Data (Definitions)

"Data that has a strict metadata defined, such as a SQL Server table’s column." (Victor Isakov et al, "MCITP Administrator: Microsoft SQL Server 2005 Optimization and Maintenance (70-444) Study Guide", 2007)

"Data that has enforced composition to specified datatypes and relationships and is managed by technology that allows for querying and reporting." (Keith Gordon, "Principles of Data Management", 2007)

"Database data, such as OLTP (Online Transaction Processing System) data, which can be sorted." (David G Hill, "Data Protection: Governance, Risk Management, and Compliance", 2009)

"A collection of records or data that is stored in a computer; records maintained in a database or application." (Robert F Smallwood, "Managing Electronic Records: Methods, Best Practices, and Technologies", 2013)

"Data that has a defined length and format. Examples of structured data include numbers, dates, and groups of words and numbers called strings (for example, a customer’s name, address, and so on)." (Marcia Kaufman et al, "Big Data For Dummies", 2013)

"Data that fits cleanly into a predefined structure." (Evan Stubbs, "Big Data, Big Innovation", 2014)

"Data that is described by a data model, for example, business data in a relational database" (Hasso Plattner, "A Course in In-Memory Data Management: The Inner Mechanics of In-Memory Databases" 2nd Ed., 2014)

"Data that is managed by a database management system" (Daniel Linstedt & W H Inmon, "Data Architecture: A Primer for the Data Scientist", 2014)

"In statistics and data mining, any type of data whose values have clearly defined meaning, such as numbers and categories." (Meta S Brown, "Data Mining For Dummies", 2014)

"Data that adheres to a strict definition." (Jason Williamson, "Getting a Big Data Job For Dummies", 2015)

"Data that has a defined length and format. Examples of structured data include numbers, dates, and groups of words and numbers called strings (for example, for a customer’s name, address, and so on)." (Judith S Hurwitz, "Cognitive Computing and Big Data Analytics", 2015)

"Data that resides in a fixed field within a file or individual record, such as a row & column database." (Hamid R Arabnia et al, "Application of Big Data for National Security", 2015)

"Information that sits in a database, file, or spreadsheet. It is generally organized and formatted. In retail, this data can be point-of-sale data, inventory, product hierarchies, or others." (Brittany Bullard, "Style and Statistics", 2016)

"A data field of a definable data type, usually of a specified size or range, that can be easily processed by a computer." (George Tillmann, "Usage-Driven Database Design: From Logical Data Modeling through Physical Schmea Definition", 2017)

"Data that can be stored in a table. Every instance in the table has the same set of attributes. Contrast with unstructured data." (John D Kelleher & Brendan Tierney, "Data science", 2018)

"Data that is identifiable as it is organized in structure like rows and columns. The data resides in fixed fields within a record or file or the data is tagged correctly and can be accurately identified." (Analytics Insight)

"Refers to information with a high degree of organization, meaning that it can be seamlessly included in a relational database and quickly searched by straightforward search engine algorithms and/or other search operations. Structured data examples include dates, numbers, and groups of words and number 'strings'. Machine-generated structured data is on the increase and includes sensor data and financial data." (Accenture)

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