University of the Thai Chamber of Commerce Library

Building a scalable data warehouse with data vault 2.0 / Daniel Linstedt, Michael Olschimke.

By: Linstedt, Daniel [author.]Contributor(s): Olschimke, Michael [author.] [author.]Material type: TextTextPublisher: Amsterdam : Morgan Kaufmann is an imprint of Elsevier, 2015Description: 1 online resource : illustrationsContent type: text Media type: computer Carrier type: online resourceSubject(s): Data warehousingDDC classification: 005.745 Online resources: eBook-ScienceDirect
Contents:
Cover; Title Page; Copyright Page; Contents; Authors Biography; Daniel Linstedt; Michael Olschimke; Foreword; Preface; Acknowledgments; Daniel Linstedt; Michael Olschimke; Chapter 1 -- Introduction to Data Warehousing; 1.1 -- History of Data Warehousing; 1.1.1 -- Decision Support Systems; 1.1.2 -- Data Warehouse Systems; 1.2 -- The Enterprise Data Warehouse Environment; 1.2.1 -- Access; 1.2.2 -- Multiple Subject Areas; 1.2.3 -- Single Version of Truth; 1.2.4 -- Single Version of Facts; 1.2.5 -- Mission Criticality; 1.2.6 -- Scalability; 1.2.7 -- Big Data; 1.2.8 -- Performance Issues; 1.2.9 -- Complexity.
1.2.10 -- Auditing and Compliance1.2.11 -- Costs; 1.2.12 -- Other Business Requirements; 1.3 -- Introduction to Data Vault 2.0; 1.4 -- Data Warehouse Architecture; 1.4.1 -- Typical Two-Layer Architecture; 1.4.2 -- Typical Three-Layer Architecture; References; Chapter 2 -- Scalable Data Warehouse Architecture; 2.1 -- Dimensions of Scalable Data Warehouse Architectures; 2.1.1 -- Workload; 2.1.2 -- Data Complexity; 2.1.3 -- Analytical Complexity; 2.1.4 -- Query Complexity; 2.1.5 -- Availability; 2.1.6 -- Security; 2.2 -- Data Vault 2.0 Architecture; 2.2.1 -- Business Rules Definition.
2.2.2 -- Business Rules Application2.2.3 -- Staging Area Layer; 2.2.4 -- Data Warehouse Layer; 2.2.5 -- Information Mart Layer; 2.2.6 -- Metrics Vault; 2.2.7 -- Business Vault; 2.2.8 -- Operational Vault; 2.2.9 -- Managed Self-Service BI; 2.2.10 -- Other Features; References; Chapter 3 -- The Data Vault 2.0 Methodology; 3.1 -- Project Planning; 3.1.1 -- Capability Maturity Model Integration; 3.1.1.1 -- Capability Levels; 3.1.1.2 -- Maturity Levels; 3.1.1.3 -- Advancing to Maturity Level 5; 3.1.1.4 -- Integrating CMMI in the Data Vault 2.0 Methodology; 3.1.2 -- Managing the Project; 3.1.2.1 -- Scrum.
3.1.2.2 -- Iterative Approach3.1.2.3 -- Product and Sprint Backlog; 3.1.2.4 -- Integrating Scrum with the Data Vault 2.0 Methodology; 3.1.3 -- Defining the Project; 3.1.3.1 -- Agile Requirements Gathering; 3.1.4 -- Estimation of the Project; 3.1.4.1 -- Function Point Analysis; 3.1.4.2 -- Measuring with Function Points; 3.1.4.3 -- Function Point Analysis for Data Warehousing; 3.1.4.4 -- Boundaries in Data Warehousing; 3.1.4.5 -- Estimating Size; 3.1.4.6 -- Assessing ETL Complexity Factors; 3.1.4.7 -- Applying Function Point Analysis to Data Warehousing.
3.1.4.8 -- Function Points for Enterprise Data Warehouse3.2 -- Project Execution; 3.2.1 -- Traditional Software Development Life-Cycle; 3.2.1.1 -- Requirements Engineering; 3.2.1.2 -- Design; 3.2.1.3 -- Implementation and Unit Testing; 3.2.1.4 -- Integration and System Testing; 3.2.1.5 -- Operation and Maintenance; 3.2.2 -- Applying Software Development Life-Cycle to the Data Vault 2.0 Methodology; 3.2.3 -- Parallel Teams; 3.2.4 -- Technical Numbering; 3.3 -- Review and Improvement; 3.3.1 -- Six Sigma; 3.3.1.1 -- Applying Six Sigma to Software; 3.3.1.2 -- Six Sigma Framework; 3.3.1.3 -- DMAIC Improvement.
3.3.1.4 -- Applying Six Sigma to Data Warehousing.
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E-Books (English) 005.745 L759b (Browse shelf) Online Access
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Cover; Title Page; Copyright Page; Contents; Authors Biography; Daniel Linstedt; Michael Olschimke; Foreword; Preface; Acknowledgments; Daniel Linstedt; Michael Olschimke; Chapter 1 -- Introduction to Data Warehousing; 1.1 -- History of Data Warehousing; 1.1.1 -- Decision Support Systems; 1.1.2 -- Data Warehouse Systems; 1.2 -- The Enterprise Data Warehouse Environment; 1.2.1 -- Access; 1.2.2 -- Multiple Subject Areas; 1.2.3 -- Single Version of Truth; 1.2.4 -- Single Version of Facts; 1.2.5 -- Mission Criticality; 1.2.6 -- Scalability; 1.2.7 -- Big Data; 1.2.8 -- Performance Issues; 1.2.9 -- Complexity.

1.2.10 -- Auditing and Compliance1.2.11 -- Costs; 1.2.12 -- Other Business Requirements; 1.3 -- Introduction to Data Vault 2.0; 1.4 -- Data Warehouse Architecture; 1.4.1 -- Typical Two-Layer Architecture; 1.4.2 -- Typical Three-Layer Architecture; References; Chapter 2 -- Scalable Data Warehouse Architecture; 2.1 -- Dimensions of Scalable Data Warehouse Architectures; 2.1.1 -- Workload; 2.1.2 -- Data Complexity; 2.1.3 -- Analytical Complexity; 2.1.4 -- Query Complexity; 2.1.5 -- Availability; 2.1.6 -- Security; 2.2 -- Data Vault 2.0 Architecture; 2.2.1 -- Business Rules Definition.

2.2.2 -- Business Rules Application2.2.3 -- Staging Area Layer; 2.2.4 -- Data Warehouse Layer; 2.2.5 -- Information Mart Layer; 2.2.6 -- Metrics Vault; 2.2.7 -- Business Vault; 2.2.8 -- Operational Vault; 2.2.9 -- Managed Self-Service BI; 2.2.10 -- Other Features; References; Chapter 3 -- The Data Vault 2.0 Methodology; 3.1 -- Project Planning; 3.1.1 -- Capability Maturity Model Integration; 3.1.1.1 -- Capability Levels; 3.1.1.2 -- Maturity Levels; 3.1.1.3 -- Advancing to Maturity Level 5; 3.1.1.4 -- Integrating CMMI in the Data Vault 2.0 Methodology; 3.1.2 -- Managing the Project; 3.1.2.1 -- Scrum.

3.1.2.2 -- Iterative Approach3.1.2.3 -- Product and Sprint Backlog; 3.1.2.4 -- Integrating Scrum with the Data Vault 2.0 Methodology; 3.1.3 -- Defining the Project; 3.1.3.1 -- Agile Requirements Gathering; 3.1.4 -- Estimation of the Project; 3.1.4.1 -- Function Point Analysis; 3.1.4.2 -- Measuring with Function Points; 3.1.4.3 -- Function Point Analysis for Data Warehousing; 3.1.4.4 -- Boundaries in Data Warehousing; 3.1.4.5 -- Estimating Size; 3.1.4.6 -- Assessing ETL Complexity Factors; 3.1.4.7 -- Applying Function Point Analysis to Data Warehousing.

3.1.4.8 -- Function Points for Enterprise Data Warehouse3.2 -- Project Execution; 3.2.1 -- Traditional Software Development Life-Cycle; 3.2.1.1 -- Requirements Engineering; 3.2.1.2 -- Design; 3.2.1.3 -- Implementation and Unit Testing; 3.2.1.4 -- Integration and System Testing; 3.2.1.5 -- Operation and Maintenance; 3.2.2 -- Applying Software Development Life-Cycle to the Data Vault 2.0 Methodology; 3.2.3 -- Parallel Teams; 3.2.4 -- Technical Numbering; 3.3 -- Review and Improvement; 3.3.1 -- Six Sigma; 3.3.1.1 -- Applying Six Sigma to Software; 3.3.1.2 -- Six Sigma Framework; 3.3.1.3 -- DMAIC Improvement.

3.3.1.4 -- Applying Six Sigma to Data Warehousing.

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