Data architecture : a primer for the data scientist : big data, data warehouse and data vault /

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Bibliographic Details
Main Authors: Inmon, William H. (Author)
Group Author: Linstedt, Daniel
Published: Morgan Kaufmann ; Elsevier,
Publisher Address: Waltham, MA : Amsterdam :
Publication Dates: [2015]
Literature type: Book
Language: English
Subjects:
Item Description: Includes index.
Carrier Form: xxi, 355 pages : illustrations ; 24 cm
ISBN: 9780128020449 :
012802044X
Index Number: QA76
CLC: TP311.13
Call Number: TP311.13/I57-4
Contents: 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.