Data architecture : a primer for the data scientist : big data, data warehouse and data vault /
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Main Authors: | |
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Group Author: | |
Published: |
Morgan Kaufmann ; Elsevier,
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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. |