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Data architecture : a primer for the data scientist /

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Bibliographic Details
Main Authors: Inmon, W. H. (Author), Linst, Daniel (Author), Levins, Mary (Author)
Corporate Author: ProQuest (Firm)
Format: eBook
Language:English
Published: London : Academic Press, [2019]
Edition:Second Edition.
Subjects:
Data warehousing.
Big data.
Electronic data processing.
Information retrieval.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 1. Introduction to architecture<br>2. "Diagram of the world#x94;, end state architecture<br>3. Transformation and redundancy<br>4. Big Data<br>5. Siloed applications<br>6. Data vault<br>7. Data lake, ponds, landing zone<br>8. IoT, Edge computing <br>9. Operational environment<br>10. The evolution of data architecture <br>11. Repetitive data, the sandbox <br>12. Non-repetitive data, contextualization <br>13. Operational performance <br>14. Integration of data <br>15. Personal computing <br>16. Managing text, taxonomies <br>17. System of record <br>18. The intellectual roadmap
  • data modelling, taxonomies, etc. <br>19. Business value across the architecture <br>20. Virtualization, streaming <br>21. The end of evolution