Data architecture : a primer for the data scientist ; big data, data warehouse and data vault (Book, 2015) []
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Data architecture : a primer for the data scientist ; big data, data warehouse and data vault

Author: William H Inmon; Daniel Linstedt
Publisher: Amsterdam : Elsevier Morgan Kaufman, 2015.
Series: Databases
Edition/Format:   Print book : EnglishView all editions and formats
Publication:Data Architecture.

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: William H Inmon; Daniel Linstedt
ISBN: 9780128020449 012802044X
OCLC Number: 905084694
In: Inmon, W.H
Notes: Corporate data -- The data infrastructure -- The "great divide"--Demographics of corporate data -- Corporate data analysis -- The life cycle of data : understanding data over time -- A brief history of data -- A brief history of big data -- What is big data? -- Parallel processing -- Unstructured data -- Contextualizing repetitive unstructured data -- Textual disambiguation -- Taxonomies -- A brief history of data warehouse -- Integrated corporate data -- Historical data -- Data marts -- What a data warehouse is not -- Introduction to data vault -- Introduction to data vault modeling -- Introduction to data vault architecture -- Introduction to data vault methodology -- Introduction to data vault implementation -- The operational environment : a short history -- The standard work unit -- Data modeling for the structured environment -- Metadata -- Data governance of structured data -- A brief history of data architecture -- Big data/existing systems interface -- The data warehouse/operational environment interface -- Data architecture : a high-level perspective -- Repetitive analytics : some basics -- Analyzing repetitive data -- Repetitive analysis -- Nonrepetitive data -- Mapping -- Analytics from nonrepetitive data -- Operational analytics -- Operational analytics -- Personal analytics -- A composite data architecture.
Includes index.
Description: xxi, 355 Seiten : Illustrationen.
Contents: 1. Corporate Data 2. Big Data 3. Data Warehouse 4. Data Vault 5. Operational Systems 6. Architecture 7. Analysis and Visualization of Data 8. Analytics for Structured Data 9. Analytics for Unstructured Repetitive Data 10. Analytics for Unstructured Non-Repetitive Data 11. Glossary of Terms
Series Title: Databases
Responsibility: W.H. Inmon ; Daniel Linstedt.


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