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Customizable embedded processors [[electronic resource] ] : design technologies and applications / / Paolo Ienne and Rainer Leupers [editors]
Customizable embedded processors [[electronic resource] ] : design technologies and applications / / Paolo Ienne and Rainer Leupers [editors]
Edizione [1st edition]
Pubbl/distr/stampa San Francisco, : Morgan Kaufmann
Descrizione fisica 1 online resource (527 p.)
Disciplina 621.392
Altri autori (Persone) IennePaolo
LeupersRainer
Collana The Morgan Kaufmann series in systems on silicon
Soggetto topico Embedded computer systems
Embedded computer systems - Design
ISBN 1-281-00536-3
9786611005368
0-12-374645-0
0-08-049098-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Customizable Embedded Processors; Copyright Page; Contents; In Praise of Customizable Embedded Processors; List of Contributors; About the Editors; Part I: Opportunities and Challenges; Chapter 1. From Prêt-à-Porter to Tailor-Made; 1.1 The Call for Flexibility; 1.2 Cool Chips for Shallow Pockets; 1.3 A Million Processors for the Price of One?; 1.4 Processors Coming of Age; 1.5 This Book; 1.6 Travel Broadens the Mind; Chapter 2. Opportunities for Application-Specific Processors: The Case of Wireless Communications; 2.1 Future Mobile Communication Systems
2.2 Heterogeneous MPSoC for Digital Receivers2.3 ASIP Design; Chapter 3. Customizing Processors: Lofty Ambitions, Stark Realities; 3.1 The "CFP" project at HP Labs; 3.2 Searching for the Best Architecture Is Not a Machine-Only Endeavor; 3.3 Designing a CPU Core Still Takes a Very Long Time; 3.4 Don't Underestimate Competitive Technologies; 3.5 Software Developers Don't Always Help You; 3.6 The Embedded World Is Not Immune to Legacy Problems; 3.7 Customization Can Be Trouble; 3.8 Conclusions; Part II: Aspects of Processor Customization; Chapter 4. Architecture Description Languages
4.1 ADLs and other languages4.2 Survey of Contemporary ADLs; 4.3 Conclusions; Chapter 5. C Compiler Retargeting; 5.1 Compiler Construction Background; 5.2 Approaches to Retargetable Compilation; 5.3 Processor Architecture Exploration; 5.4 C Compiler Retargeting in the LISATek Platform; 5.5 Summary and Outlook; Chapter 6. Automated Processor Configuration and Instruction Extension; 6.1 Automation Is Essential for ASIP Proliferation; 6.2 The Tensilica Xtensa LX Configurable Processor; 6.3 Generating ASIPs Using Xtensa; 6.4 Automatic Generation of ASIP Specifications
6.5 Coding an Application for Automatic ASIP Generation6.6 XPRES Benchmarking Results; 6.7 Techniques for ASIP Generation; 6.8 Exploring the Design Space; 6.9 Evaluating Xpres Estimation Methods; 6.10 Conclusions and Future of the Technology; Chapter 7. Automatic Instruction-Set Extensions; 7.1 Beyond Traditional Compilers; 7.2 Building Block for Instruction Set Extension; 7.3 Heuristics; 7.4 State-Holding Instruction-Set Extensions; 7.5 Exploiting Pipelining to Relax I/O Constraints; 7.6 Conclusions and Further Challenges; Chapter 8. Challenges to Automatic Customization
8.1 The ARCompactTM Instruction Set Architecture8.2 Microarchitecture Challenges; 8.3 Case Study-Entropy Decoding; 8.4 Limitations of Automated Extension; 8.5 The Benefits of Architecture Extension; 8.6 Conclusions; Chapter 9. Coprocessor Generation from Executable Code; 9.1 Introduction; 9.2 User Level Flow; 9.3 Integration with Embedded Software; 9.4 Coprocessor Architecture; 9.5 ILP Extraction Challenges; 9.6 Internal Tool Flow; 9.7 Code Mapping Approach; 9.8 Synthesizing Coprocessor Architectures; 9.9 A Real-World Example; 9.10 Summary; Chapter 10. Datapath Synthesis; 10.1 Introduction
10.2 Custom Instruction Selection
Record Nr. UNINA-9910784651103321
San Francisco, : Morgan Kaufmann
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Customizable embedded processors [[electronic resource] ] : design technologies and applications / / Paolo Ienne and Rainer Leupers [editors]
Customizable embedded processors [[electronic resource] ] : design technologies and applications / / Paolo Ienne and Rainer Leupers [editors]
Edizione [1st edition]
Pubbl/distr/stampa San Francisco, : Morgan Kaufmann
Descrizione fisica 1 online resource (527 p.)
Disciplina 621.392
Altri autori (Persone) IennePaolo
LeupersRainer
Collana The Morgan Kaufmann series in systems on silicon
Soggetto topico Embedded computer systems
Embedded computer systems - Design
ISBN 1-281-00536-3
9786611005368
0-12-374645-0
0-08-049098-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Customizable Embedded Processors; Copyright Page; Contents; In Praise of Customizable Embedded Processors; List of Contributors; About the Editors; Part I: Opportunities and Challenges; Chapter 1. From Prêt-à-Porter to Tailor-Made; 1.1 The Call for Flexibility; 1.2 Cool Chips for Shallow Pockets; 1.3 A Million Processors for the Price of One?; 1.4 Processors Coming of Age; 1.5 This Book; 1.6 Travel Broadens the Mind; Chapter 2. Opportunities for Application-Specific Processors: The Case of Wireless Communications; 2.1 Future Mobile Communication Systems
2.2 Heterogeneous MPSoC for Digital Receivers2.3 ASIP Design; Chapter 3. Customizing Processors: Lofty Ambitions, Stark Realities; 3.1 The "CFP" project at HP Labs; 3.2 Searching for the Best Architecture Is Not a Machine-Only Endeavor; 3.3 Designing a CPU Core Still Takes a Very Long Time; 3.4 Don't Underestimate Competitive Technologies; 3.5 Software Developers Don't Always Help You; 3.6 The Embedded World Is Not Immune to Legacy Problems; 3.7 Customization Can Be Trouble; 3.8 Conclusions; Part II: Aspects of Processor Customization; Chapter 4. Architecture Description Languages
4.1 ADLs and other languages4.2 Survey of Contemporary ADLs; 4.3 Conclusions; Chapter 5. C Compiler Retargeting; 5.1 Compiler Construction Background; 5.2 Approaches to Retargetable Compilation; 5.3 Processor Architecture Exploration; 5.4 C Compiler Retargeting in the LISATek Platform; 5.5 Summary and Outlook; Chapter 6. Automated Processor Configuration and Instruction Extension; 6.1 Automation Is Essential for ASIP Proliferation; 6.2 The Tensilica Xtensa LX Configurable Processor; 6.3 Generating ASIPs Using Xtensa; 6.4 Automatic Generation of ASIP Specifications
6.5 Coding an Application for Automatic ASIP Generation6.6 XPRES Benchmarking Results; 6.7 Techniques for ASIP Generation; 6.8 Exploring the Design Space; 6.9 Evaluating Xpres Estimation Methods; 6.10 Conclusions and Future of the Technology; Chapter 7. Automatic Instruction-Set Extensions; 7.1 Beyond Traditional Compilers; 7.2 Building Block for Instruction Set Extension; 7.3 Heuristics; 7.4 State-Holding Instruction-Set Extensions; 7.5 Exploiting Pipelining to Relax I/O Constraints; 7.6 Conclusions and Further Challenges; Chapter 8. Challenges to Automatic Customization
8.1 The ARCompactTM Instruction Set Architecture8.2 Microarchitecture Challenges; 8.3 Case Study-Entropy Decoding; 8.4 Limitations of Automated Extension; 8.5 The Benefits of Architecture Extension; 8.6 Conclusions; Chapter 9. Coprocessor Generation from Executable Code; 9.1 Introduction; 9.2 User Level Flow; 9.3 Integration with Embedded Software; 9.4 Coprocessor Architecture; 9.5 ILP Extraction Challenges; 9.6 Internal Tool Flow; 9.7 Code Mapping Approach; 9.8 Synthesizing Coprocessor Architectures; 9.9 A Real-World Example; 9.10 Summary; Chapter 10. Datapath Synthesis; 10.1 Introduction
10.2 Custom Instruction Selection
Record Nr. UNINA-9910814560603321
San Francisco, : Morgan Kaufmann
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data architecture : a primer for the data scientist : big data, data warehouse and data vault / / W. H. Inmon, Dan Linstedt ; Steven Elliot, executive editor ; Mark Rogers, designer
Data architecture : a primer for the data scientist : big data, data warehouse and data vault / / W. H. Inmon, Dan Linstedt ; Steven Elliot, executive editor ; Mark Rogers, designer
Autore Inmon W. H.
Edizione [1st edition]
Pubbl/distr/stampa Amsterdam, Netherlands : , : Morgan Kaufmann, , 2015
Descrizione fisica 1 online resource (378 p.)
Disciplina 005.745
Soggetto topico Data warehousing
Big data
ISBN 0-12-802091-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Copyright; Dedication; Contents; Preface; About the authors; 1.1 - Corporate data; The Totality of Data Across the Corporation; Dividing Unstructured Data; Business Relevancy; Big Data; The Great Divide; The Continental Divide; The Complete Picture; 1.2 - The data infrastructure; Two Types of Repetitive Data; Repetitive Structured Data; Repetitive Big Data; The Two Infrastructures; What's being Optimized?; Comparing the Two Infrastructures; 1.3 - The "great divide"; Classifying Corporate Data; The "Great Divide"; Repetitive Unstructured Data; Nonrepetitive Unstructured Data
Different Worlds1.4 - Demographics of corporate data; 1.5 - Corporate data analysis; 1.6 - The life cycle of data - understanding data over time; 1.7 - A brief history of data; Paper Tape and Punch Cards; Magnetic Tapes; Disk Storage; Database Management System; Coupled Processors; Online Transaction Processing; Data Warehouse; Parallel Data Management; Data Vault; Big Data; The Great Divide; 2.1 - A brief history of big data; An Analogy - Taking the High Ground; Taking the High Ground; Standardization with the 360; Online Transaction Processing
Enter Teradata and Massively Parallel ProcessingThen Came Hadoop and Big Data; IBM and Hadoop; Holding the High Ground; 2.2 - What is big data?; Another Definition; Large Volumes; Inexpensive Storage; The Roman Census Approach; Unstructured Data; Data in Big Data; Context in Repetitive Data; Nonrepetitive Data; Context in Nonrepetitive Data; 2.3 - Parallel processing; 2.4 - Unstructured data; Textual Information Everywhere; Decisions Based on Structured Data; The Business Value Proposition; Repetitive and Nonrepetitive Unstructured Information; Ease of Analysis; Contextualization
Some Approaches to ContextualizationMapReduce; Manual Analysis; 2.5 - Contextualizing repetitive unstructured data; Parsing Repetitive Unstructured Data; Recasting the Output Data; 2.6 - Textual disambiguation; From Narrative into an Analytical Database; Input into Textual Disambiguation; Mapping; Input/Output; Document Fracturing/Named Value Processing; Preprocessing a Document; Emails - A Special Case; Spreadsheets; Report Decompilation; 2.7 - Taxonomies; Data Models and Taxonomies; Applicability of Taxonomies; What is a Taxonomy?; Taxonomies in Multiple Languages
Dynamics of Taxonomies and Textual DisambiguationTaxonomies and Textual Disambiguation - Separate Technologies; Different Types of Taxonomies; Taxonomies - Maintenance Over Time; 3.1 - A brief history of data warehouse; Early Applications; Online Applications; Extract Programs; 4GL Technology; Personal Computers; Spreadsheets; Integrity of Data; Spider-Web Systems; The Maintenance Backlog; The Data Warehouse; To an Architected Environment; To the CIF; DW 2.0; 3.2 - Integrated corporate data; Many Applications; Looking Across the Corporation; More Than One Analyst; ETL Technology
The Challenges of Integration
Record Nr. UNINA-9910787905603321
Inmon W. H.  
Amsterdam, Netherlands : , : Morgan Kaufmann, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data architecture : a primer for the data scientist : big data, data warehouse and data vault / / W. H. Inmon, Dan Linstedt ; Steven Elliot, executive editor ; Mark Rogers, designer
Data architecture : a primer for the data scientist : big data, data warehouse and data vault / / W. H. Inmon, Dan Linstedt ; Steven Elliot, executive editor ; Mark Rogers, designer
Autore Inmon W. H.
Edizione [1st edition]
Pubbl/distr/stampa Amsterdam, Netherlands : , : Morgan Kaufmann, , 2015
Descrizione fisica 1 online resource (378 p.)
Disciplina 005.745
Soggetto topico Data warehousing
Big data
ISBN 0-12-802091-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Copyright; Dedication; Contents; Preface; About the authors; 1.1 - Corporate data; The Totality of Data Across the Corporation; Dividing Unstructured Data; Business Relevancy; Big Data; The Great Divide; The Continental Divide; The Complete Picture; 1.2 - The data infrastructure; Two Types of Repetitive Data; Repetitive Structured Data; Repetitive Big Data; The Two Infrastructures; What's being Optimized?; Comparing the Two Infrastructures; 1.3 - The "great divide"; Classifying Corporate Data; The "Great Divide"; Repetitive Unstructured Data; Nonrepetitive Unstructured Data
Different Worlds1.4 - Demographics of corporate data; 1.5 - Corporate data analysis; 1.6 - The life cycle of data - understanding data over time; 1.7 - A brief history of data; Paper Tape and Punch Cards; Magnetic Tapes; Disk Storage; Database Management System; Coupled Processors; Online Transaction Processing; Data Warehouse; Parallel Data Management; Data Vault; Big Data; The Great Divide; 2.1 - A brief history of big data; An Analogy - Taking the High Ground; Taking the High Ground; Standardization with the 360; Online Transaction Processing
Enter Teradata and Massively Parallel ProcessingThen Came Hadoop and Big Data; IBM and Hadoop; Holding the High Ground; 2.2 - What is big data?; Another Definition; Large Volumes; Inexpensive Storage; The Roman Census Approach; Unstructured Data; Data in Big Data; Context in Repetitive Data; Nonrepetitive Data; Context in Nonrepetitive Data; 2.3 - Parallel processing; 2.4 - Unstructured data; Textual Information Everywhere; Decisions Based on Structured Data; The Business Value Proposition; Repetitive and Nonrepetitive Unstructured Information; Ease of Analysis; Contextualization
Some Approaches to ContextualizationMapReduce; Manual Analysis; 2.5 - Contextualizing repetitive unstructured data; Parsing Repetitive Unstructured Data; Recasting the Output Data; 2.6 - Textual disambiguation; From Narrative into an Analytical Database; Input into Textual Disambiguation; Mapping; Input/Output; Document Fracturing/Named Value Processing; Preprocessing a Document; Emails - A Special Case; Spreadsheets; Report Decompilation; 2.7 - Taxonomies; Data Models and Taxonomies; Applicability of Taxonomies; What is a Taxonomy?; Taxonomies in Multiple Languages
Dynamics of Taxonomies and Textual DisambiguationTaxonomies and Textual Disambiguation - Separate Technologies; Different Types of Taxonomies; Taxonomies - Maintenance Over Time; 3.1 - A brief history of data warehouse; Early Applications; Online Applications; Extract Programs; 4GL Technology; Personal Computers; Spreadsheets; Integrity of Data; Spider-Web Systems; The Maintenance Backlog; The Data Warehouse; To an Architected Environment; To the CIF; DW 2.0; 3.2 - Integrated corporate data; Many Applications; Looking Across the Corporation; More Than One Analyst; ETL Technology
The Challenges of Integration
Record Nr. UNINA-9910816227103321
Inmon W. H.  
Amsterdam, Netherlands : , : Morgan Kaufmann, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data architecture [[electronic resource] ] : from zen to reality / / Charles Tupper
Data architecture [[electronic resource] ] : from zen to reality / / Charles Tupper
Autore Tupper Charles D
Edizione [1st edition]
Pubbl/distr/stampa Amsterdam ; ; Boston, : Morgan Kaufmann, 2011
Descrizione fisica 1 online resource (442 p.)
Disciplina 005.1/2
Soggetto topico Data structures (Computer science)
Software architecture
Soggetto genere / forma Electronic books.
ISBN 1-283-06975-X
9786613069757
0-12-385127-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Data Architecture; Copyright Page; Contents; Preface; SECTION 1 THE PRINCIPLES; Chapter 1 Understanding Architectural Principles; Defining Architecture; Design Problems; Patterns and Pattern Usage; Concepts for Pattern Usage; Information Architecture; Structure Works!; Problems in Architecture; Architectural Solutions; The "Form Follows Function" Concept; Guideline: Composition and Environment; Guideline: Evolution; Guideline: Current and Future; Data Policies (Governance), the Foundation Building Codes; Data Policy Principles
Chapter 2 Enterprise Architecture Frameworks and MethodologiesArchitecture Frameworks; Brief History of Enterprise Architecture; The Zachman Framework for Enterprise Architecture; The Open Group Architecture Framework; The Federal Enterprise Architecture; Conclusions; Enterprise Data Architectures; Enterprise Models; The Enterprise Data Model; The Importance of the Enterprise Data Model; Object Concepts: Types and Structures Within Databases; Inheritance; Object Life Cycles; Relationships and Collections; Object Frameworks; Object Framework Programming; Pattern-Based Frameworks
Architecture Patterns in UseU.S. Treasury Architecture Development Guidance; TADG Pattern Content; TADG Architecture Patterns; IBM Patterns for e-Business; Enterprise Data Model Implementation Methods; Chapter 3 Enterprise-Level Data Architecture Practices; Enterprise-Level Architectures; System Architectures; Enterprise Data Architectures; Enterprise Technology Architectures; Enterprise Architecture Terminology-Business Terms; The Enterprise Model; The Enterprise Data Architecture from a Development Perspective; Subject Area Drivers; Naming and Object Standards; Data Sharing
Data Dictionary-Metadata RepositoryDomain Constraints in Corporate and Non-Corporate Data; Organizational Control Components; Data Administration; Database Administration; Setting Up a Database Administration Group; Repository Management Areas and Model Management; Chapter 4 Understanding Development Methodologies; Design Methods; Why Do We Need Development Methodologies?; The Beginnings; Structured Methods; Structured Programming; Structured Design; Structured Analysis; Still Having Problems; Requirements Definitions; Problems with Structured Approaches
Personal Computers and the Age of ToolsEngineering Concepts Applied; Other Principles Utilized; The Birth of Information Engineering; Information Engineering as a Design Methodology; The Synergy of Tools and Information Engineering; Problems with Information Engineering; Implementing the Best of IE while Minimizing Expense; SECTION 2 THE PROBLEM; Chapter 5 Business Evolution; The Problem of Business Evolution; Expansion and Function Separation; Separate Function Communication; Manual Data Redundancy; Data Planning and Process Planning; Corporate Architecture; Using Nolan's Stages of Growth
Problems with Older Organizations
Record Nr. UNINA-9910459860203321
Tupper Charles D  
Amsterdam ; ; Boston, : Morgan Kaufmann, 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data architecture [[electronic resource] ] : from zen to reality / / Charles Tupper
Data architecture [[electronic resource] ] : from zen to reality / / Charles Tupper
Autore Tupper Charles D
Edizione [1st edition]
Pubbl/distr/stampa Amsterdam ; ; Boston, : Morgan Kaufmann, 2011
Descrizione fisica 1 online resource (442 p.)
Disciplina 005.1/2
Soggetto topico Data structures (Computer science)
Software architecture
ISBN 1-283-06975-X
9786613069757
0-12-385127-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Data Architecture; Copyright Page; Contents; Preface; SECTION 1 THE PRINCIPLES; Chapter 1 Understanding Architectural Principles; Defining Architecture; Design Problems; Patterns and Pattern Usage; Concepts for Pattern Usage; Information Architecture; Structure Works!; Problems in Architecture; Architectural Solutions; The "Form Follows Function" Concept; Guideline: Composition and Environment; Guideline: Evolution; Guideline: Current and Future; Data Policies (Governance), the Foundation Building Codes; Data Policy Principles
Chapter 2 Enterprise Architecture Frameworks and MethodologiesArchitecture Frameworks; Brief History of Enterprise Architecture; The Zachman Framework for Enterprise Architecture; The Open Group Architecture Framework; The Federal Enterprise Architecture; Conclusions; Enterprise Data Architectures; Enterprise Models; The Enterprise Data Model; The Importance of the Enterprise Data Model; Object Concepts: Types and Structures Within Databases; Inheritance; Object Life Cycles; Relationships and Collections; Object Frameworks; Object Framework Programming; Pattern-Based Frameworks
Architecture Patterns in UseU.S. Treasury Architecture Development Guidance; TADG Pattern Content; TADG Architecture Patterns; IBM Patterns for e-Business; Enterprise Data Model Implementation Methods; Chapter 3 Enterprise-Level Data Architecture Practices; Enterprise-Level Architectures; System Architectures; Enterprise Data Architectures; Enterprise Technology Architectures; Enterprise Architecture Terminology-Business Terms; The Enterprise Model; The Enterprise Data Architecture from a Development Perspective; Subject Area Drivers; Naming and Object Standards; Data Sharing
Data Dictionary-Metadata RepositoryDomain Constraints in Corporate and Non-Corporate Data; Organizational Control Components; Data Administration; Database Administration; Setting Up a Database Administration Group; Repository Management Areas and Model Management; Chapter 4 Understanding Development Methodologies; Design Methods; Why Do We Need Development Methodologies?; The Beginnings; Structured Methods; Structured Programming; Structured Design; Structured Analysis; Still Having Problems; Requirements Definitions; Problems with Structured Approaches
Personal Computers and the Age of ToolsEngineering Concepts Applied; Other Principles Utilized; The Birth of Information Engineering; Information Engineering as a Design Methodology; The Synergy of Tools and Information Engineering; Problems with Information Engineering; Implementing the Best of IE while Minimizing Expense; SECTION 2 THE PROBLEM; Chapter 5 Business Evolution; The Problem of Business Evolution; Expansion and Function Separation; Separate Function Communication; Manual Data Redundancy; Data Planning and Process Planning; Corporate Architecture; Using Nolan's Stages of Growth
Problems with Older Organizations
Record Nr. UNINA-9910785585003321
Tupper Charles D  
Amsterdam ; ; Boston, : Morgan Kaufmann, 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data architecture [[electronic resource] ] : from zen to reality / / Charles Tupper
Data architecture [[electronic resource] ] : from zen to reality / / Charles Tupper
Autore Tupper Charles D
Edizione [1st edition]
Pubbl/distr/stampa Amsterdam ; ; Boston, : Morgan Kaufmann, 2011
Descrizione fisica 1 online resource (442 p.)
Disciplina 005.1/2
Soggetto topico Data structures (Computer science)
Software architecture
ISBN 1-283-06975-X
9786613069757
0-12-385127-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Data Architecture; Copyright Page; Contents; Preface; SECTION 1 THE PRINCIPLES; Chapter 1 Understanding Architectural Principles; Defining Architecture; Design Problems; Patterns and Pattern Usage; Concepts for Pattern Usage; Information Architecture; Structure Works!; Problems in Architecture; Architectural Solutions; The "Form Follows Function" Concept; Guideline: Composition and Environment; Guideline: Evolution; Guideline: Current and Future; Data Policies (Governance), the Foundation Building Codes; Data Policy Principles
Chapter 2 Enterprise Architecture Frameworks and MethodologiesArchitecture Frameworks; Brief History of Enterprise Architecture; The Zachman Framework for Enterprise Architecture; The Open Group Architecture Framework; The Federal Enterprise Architecture; Conclusions; Enterprise Data Architectures; Enterprise Models; The Enterprise Data Model; The Importance of the Enterprise Data Model; Object Concepts: Types and Structures Within Databases; Inheritance; Object Life Cycles; Relationships and Collections; Object Frameworks; Object Framework Programming; Pattern-Based Frameworks
Architecture Patterns in UseU.S. Treasury Architecture Development Guidance; TADG Pattern Content; TADG Architecture Patterns; IBM Patterns for e-Business; Enterprise Data Model Implementation Methods; Chapter 3 Enterprise-Level Data Architecture Practices; Enterprise-Level Architectures; System Architectures; Enterprise Data Architectures; Enterprise Technology Architectures; Enterprise Architecture Terminology-Business Terms; The Enterprise Model; The Enterprise Data Architecture from a Development Perspective; Subject Area Drivers; Naming and Object Standards; Data Sharing
Data Dictionary-Metadata RepositoryDomain Constraints in Corporate and Non-Corporate Data; Organizational Control Components; Data Administration; Database Administration; Setting Up a Database Administration Group; Repository Management Areas and Model Management; Chapter 4 Understanding Development Methodologies; Design Methods; Why Do We Need Development Methodologies?; The Beginnings; Structured Methods; Structured Programming; Structured Design; Structured Analysis; Still Having Problems; Requirements Definitions; Problems with Structured Approaches
Personal Computers and the Age of ToolsEngineering Concepts Applied; Other Principles Utilized; The Birth of Information Engineering; Information Engineering as a Design Methodology; The Synergy of Tools and Information Engineering; Problems with Information Engineering; Implementing the Best of IE while Minimizing Expense; SECTION 2 THE PROBLEM; Chapter 5 Business Evolution; The Problem of Business Evolution; Expansion and Function Separation; Separate Function Communication; Manual Data Redundancy; Data Planning and Process Planning; Corporate Architecture; Using Nolan's Stages of Growth
Problems with Older Organizations
Record Nr. UNINA-9910827468503321
Tupper Charles D  
Amsterdam ; ; Boston, : Morgan Kaufmann, 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data governance [[electronic resource] ] : how to design, deploy, and sustain an effective data governance program / / John Ladley
Data governance [[electronic resource] ] : how to design, deploy, and sustain an effective data governance program / / John Ladley
Autore Ladley John
Edizione [1st edition]
Pubbl/distr/stampa Waltham, Mass., : Morgan Kaufmann, 2012
Descrizione fisica 1 online resource (xx, 236 pages) : illustrations
Disciplina 658.4/038011
Collana The Morgan Kaufmann Series on Business Intelligence
Soggetto topico Data protection
Information resources management
Management information systems
Soggetto genere / forma Electronic books.
ISBN 1-283-61986-5
9786613932310
0-12-397848-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Machine generated contents note: Preface 1. Introduction 2. Definition 3. Data Governance Program Overview 4. The Business Case 5. Components of DG 6. Scope 7. Assess 8. Align and business case 9. Functional design 10. Organization design 11. Deploy 12. Sustain 13. Executing DG - Practical Guide 14. Summary Appendices.
Record Nr. UNINA-9910462550903321
Ladley John  
Waltham, Mass., : Morgan Kaufmann, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data governance [[electronic resource] ] : how to design, deploy, and sustain an effective data governance program / / John Ladley
Data governance [[electronic resource] ] : how to design, deploy, and sustain an effective data governance program / / John Ladley
Autore Ladley John
Edizione [1st edition]
Pubbl/distr/stampa Waltham, Mass., : Morgan Kaufmann, 2012
Descrizione fisica 1 online resource (xx, 236 pages) : illustrations
Disciplina 658.4/038011
Collana The Morgan Kaufmann Series on Business Intelligence
Soggetto topico Data protection
Information resources management
Management information systems
ISBN 1-283-61986-5
9786613932310
0-12-397848-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Machine generated contents note: Preface 1. Introduction 2. Definition 3. Data Governance Program Overview 4. The Business Case 5. Components of DG 6. Scope 7. Assess 8. Align and business case 9. Functional design 10. Organization design 11. Deploy 12. Sustain 13. Executing DG - Practical Guide 14. Summary Appendices.
Record Nr. UNINA-9910790320903321
Ladley John  
Waltham, Mass., : Morgan Kaufmann, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data governance [[electronic resource] ] : how to design, deploy, and sustain an effective data governance program / / John Ladley
Data governance [[electronic resource] ] : how to design, deploy, and sustain an effective data governance program / / John Ladley
Autore Ladley John
Edizione [1st edition]
Pubbl/distr/stampa Waltham, Mass., : Morgan Kaufmann, 2012
Descrizione fisica 1 online resource (xx, 236 pages) : illustrations
Disciplina 658.4/038011
Collana The Morgan Kaufmann Series on Business Intelligence
Soggetto topico Data protection
Information resources management
Management information systems
ISBN 1-283-61986-5
9786613932310
0-12-397848-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Machine generated contents note: Preface 1. Introduction 2. Definition 3. Data Governance Program Overview 4. The Business Case 5. Components of DG 6. Scope 7. Assess 8. Align and business case 9. Functional design 10. Organization design 11. Deploy 12. Sustain 13. Executing DG - Practical Guide 14. Summary Appendices.
Record Nr. UNINA-9910821109203321
Ladley John  
Waltham, Mass., : Morgan Kaufmann, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui