Data architecture : a primer for the data scientist /: a primer for the data scientist. ([2019])

• Record Type: Book
• Further Information: Note: W.H. Inmon, Daniel Linstedt, Mary Levins.
• Authors: Inmon, W. H; Linst, Daniel; Levins, Mary
• Contents: 1. Introduction to architecture; 2. “Diagram of the world”, end state architecture; 3. Transformation and redundancy; 4. Big Data; 5. Siloed applications; 6. Data vault; 7. Data lake, ponds, landing zone; 8. IoT, Edge computing; 9. Operational environment; 10. The evolution of data architecture; 11. Repetitive data, the sandbox; 12. Non-repetitive data, contextualization; 13. Operational performance; 14. Integration of data; 15. Personal computing; 16. Managing text, taxonomies; 17. System of record; 18. The intellectual roadmap – data modelling, taxonomies, etc; 19. Business value across the architecture; 20. Virtualization, streaming; 21. The end of evolution
• Edition: Second Edition
• Publisher Details: London : Academic Press
• Publication Date: 2019
• Copyright Date: 2019
• Extent: 1 online resource
• Subjects: 005.745; COMPUTERS -- Data Modeling & Design; Data warehousing; Big data; Electronic books
• Languages: English
• ISBNs: 9780128169179; 0128169176
• Related ISBNs: 9780128169162
• Notes: Note: Online resource; title from PDF title page (EBSCO, viewed May 6, 2019).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.