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Big data governance [[electronic resource] ] : an emerging imperative / / Sunil Soares
Big data governance [[electronic resource] ] : an emerging imperative / / Sunil Soares
Autore Soares Sunil
Edizione [1st ed.]
Pubbl/distr/stampa Boise, : MC Press, 2012
Descrizione fisica 1 online resource (369 p.)
Disciplina 005.74
Soggetto topico Information resources management
Knowledge management
Soggetto genere / forma Electronic books.
ISBN 1-58347-718-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Copyright; Dedication; About the Author; CONTENTS; CASE STUDIES; Foreword by Inderpal Bhandari; Foreword by Aaron Zornes; Preface; PART ONE: Getting Started; Chapter 1: An Introduction to Big Data Governance; Chapter 2: The Big Data Governance Framework; Chapter 3: The Maturity Assessment; Chapter 4: The Business Case; Chapter 5: The Roadmap; PART TWO: Big Data Governance Disciplines; Chapter 6: Organizing for Big Data Governance; Chapter 7: Metadata; Chapter 8: Big Data Privacy; Chapter 9: Big Data Quality; Chapter 10: Business Process Integration; Chapter 11: Master Data Integration
Chapter 12: Managing the Lifecycle of Big DataPART THREE: The Governance of Big Data Types; Chapter 13: Web and Social Media; Chapter 14: Machine-to-Machine Data; Chapter 15: Big Transaction Data; Chapter 16: Biometrics; Chapter 17: Human-Generated Data; PART FOUR: Industry Perspectives; Chapter 18: Healthcare; Chapter 19: Utilities; Chapter 20: Communications Service Providers; PART FIVE: Big Data Technology; Chapter 21: Big Data Reference Architecture; Chapter 22: Big Data Platforms; Appendix A: List of Acronyms; Appendix B: Glossary; Appendix C: Reviewer Profiles
Appendix D: Contributor ProfilesIndex
Record Nr. UNINA-9910453193003321
Soares Sunil  
Boise, : MC Press, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Big data governance [[electronic resource] ] : an emerging imperative / / Sunil Soares
Big data governance [[electronic resource] ] : an emerging imperative / / Sunil Soares
Autore Soares Sunil
Edizione [1st ed.]
Pubbl/distr/stampa Boise, : MC Press, 2012
Descrizione fisica 1 online resource (369 p.)
Disciplina 005.74
Soggetto topico Information resources management
Knowledge management
ISBN 1-58347-718-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Copyright; Dedication; About the Author; CONTENTS; CASE STUDIES; Foreword by Inderpal Bhandari; Foreword by Aaron Zornes; Preface; PART ONE: Getting Started; Chapter 1: An Introduction to Big Data Governance; Chapter 2: The Big Data Governance Framework; Chapter 3: The Maturity Assessment; Chapter 4: The Business Case; Chapter 5: The Roadmap; PART TWO: Big Data Governance Disciplines; Chapter 6: Organizing for Big Data Governance; Chapter 7: Metadata; Chapter 8: Big Data Privacy; Chapter 9: Big Data Quality; Chapter 10: Business Process Integration; Chapter 11: Master Data Integration
Chapter 12: Managing the Lifecycle of Big DataPART THREE: The Governance of Big Data Types; Chapter 13: Web and Social Media; Chapter 14: Machine-to-Machine Data; Chapter 15: Big Transaction Data; Chapter 16: Biometrics; Chapter 17: Human-Generated Data; PART FOUR: Industry Perspectives; Chapter 18: Healthcare; Chapter 19: Utilities; Chapter 20: Communications Service Providers; PART FIVE: Big Data Technology; Chapter 21: Big Data Reference Architecture; Chapter 22: Big Data Platforms; Appendix A: List of Acronyms; Appendix B: Glossary; Appendix C: Reviewer Profiles
Appendix D: Contributor ProfilesIndex
Record Nr. UNINA-9910790515403321
Soares Sunil  
Boise, : MC Press, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Big data governance [[electronic resource] ] : an emerging imperative / / Sunil Soares
Big data governance [[electronic resource] ] : an emerging imperative / / Sunil Soares
Autore Soares Sunil
Edizione [1st ed.]
Pubbl/distr/stampa Boise, : MC Press, 2012
Descrizione fisica 1 online resource (369 p.)
Disciplina 005.74
Soggetto topico Information resources management
Knowledge management
ISBN 1-58347-718-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Copyright; Dedication; About the Author; CONTENTS; CASE STUDIES; Foreword by Inderpal Bhandari; Foreword by Aaron Zornes; Preface; PART ONE: Getting Started; Chapter 1: An Introduction to Big Data Governance; Chapter 2: The Big Data Governance Framework; Chapter 3: The Maturity Assessment; Chapter 4: The Business Case; Chapter 5: The Roadmap; PART TWO: Big Data Governance Disciplines; Chapter 6: Organizing for Big Data Governance; Chapter 7: Metadata; Chapter 8: Big Data Privacy; Chapter 9: Big Data Quality; Chapter 10: Business Process Integration; Chapter 11: Master Data Integration
Chapter 12: Managing the Lifecycle of Big DataPART THREE: The Governance of Big Data Types; Chapter 13: Web and Social Media; Chapter 14: Machine-to-Machine Data; Chapter 15: Big Transaction Data; Chapter 16: Biometrics; Chapter 17: Human-Generated Data; PART FOUR: Industry Perspectives; Chapter 18: Healthcare; Chapter 19: Utilities; Chapter 20: Communications Service Providers; PART FIVE: Big Data Technology; Chapter 21: Big Data Reference Architecture; Chapter 22: Big Data Platforms; Appendix A: List of Acronyms; Appendix B: Glossary; Appendix C: Reviewer Profiles
Appendix D: Contributor ProfilesIndex
Record Nr. UNINA-9910810324503321
Soares Sunil  
Boise, : MC Press, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data governance tools : evaluation criteria, big data governance, and alignment with enterprise data management. / / Sunil Soares
Data governance tools : evaluation criteria, big data governance, and alignment with enterprise data management. / / Sunil Soares
Autore Soares Sunil
Pubbl/distr/stampa Boise, Idaho : , : MC Press Online, LLC, , 2014
Descrizione fisica 1 online resource (453 p.)
Disciplina 658.4038
Soggetto topico Information technology - Management
Database management - Computer programs
Soggetto genere / forma Electronic books.
ISBN 1-58347-844-2
1-58347-847-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Copyright; About the Author; Contents; Forewords; By Aditya Kongara; By John R. Talburt; By Aaron Zornes; Preface; Part I-Introduction; 1: An Introduction to Data Governance; Definition; Case Study; The Pillars of Data Governance; Summary; 2: Enterprise Data Management Reference Architecture; Edm Categories; Big Data; Data Governance Tools; Summary; Part II-Categories of Data Governance Tools; 3: The Business Glossary; Bulk-load Business Terms in Excel, CSV, or XML Format; Create Categories of Business Terms; Facilitate Social Collaboration
Automatically Hyperlink Embedded Business TermsAdd Custom Attributes to Business Terms and Other Data Artifacts; Add Custom Relationships to Business Terms and Other Data Artifacts; Add Custom Roles to Business Terms and Other Data Artifacts; Link Business Terms and Column Names to the Associated Reference Data; Link Business Terms to Technical Metadata; Support the Creation of Custom Asset Types; Flag Critical Data Elements; Provide OOTB and Custom Workflows to Manage Business Terms and Other Data Artifacts; Review the History of Changes to Business Terms and Other Data Artifacts
Allow Business Users to Link to the Glossary Directly From Reporting ToolsSearch for Business Terms; Integrate Business Terms with Associated Unstructured Data; Summary; 4: Metadata Management; Pull Logical Models From Data Modeling Tools; Pull Physical Models From Data Modeling Tools; Ingest Metadata From Relational Databases; Pull in Metadata From Data Warehouse Appliances; Integrate Metadata From Legacy Data Sources; Pull Metadata From ETL Tools; Pull Metadata From Reporting Tools; Reflect Custom Code in the Metadata Tool; Pull Metadata From Analytics Tools
Link Business Terms with Column NamesPull Metadata From Data Quality Tools; Pull Metadata From Big Data Sources; Provide Detailed Views on Data Lineage; Customize Data Lineage Reporting; Manage Permissions in the Metadata Repository; Support the Search for Assets in the Metadata Repository; Summary; 5: Data Profiling; Conduct Column Analysis; Discover the Values Distribution of a Column; Discover the Patterns Distribution of a Column; Discover the Length Frequencies of a Column; Discover Hidden Sensitive Data; Discover Values with Similar Sounds in a Column
Agree on the Data Quality Dimensions for the Data Governance ProgramDevelop Business Rules Relating to the Data Quality Dimensions; Profile Data Relating to the Completeness Dimension of Data Quality; Profile Data Relating to the Conformity Dimension of Data Quality; Profile Data Relating to the Consistency Dimension of Data Quality; Profile Data Relating to the Synchronization Dimension of Data Quality; Profile Data Relating to the Uniqueness Dimension of Data Quality; Profile Data Relating to the Timeliness Dimension of Data Quality
Profile Data Relating to the Accuracy Dimension of Data Quality
Record Nr. UNINA-9910463803503321
Soares Sunil  
Boise, Idaho : , : MC Press Online, LLC, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data governance tools : evaluation criteria, big data governance, and alignment with enterprise data management. / / Sunil Soares
Data governance tools : evaluation criteria, big data governance, and alignment with enterprise data management. / / Sunil Soares
Autore Soares Sunil
Pubbl/distr/stampa Boise, Idaho : , : MC Press Online, LLC, , 2014
Descrizione fisica 1 online resource (453 p.)
Disciplina 658.4038
Soggetto topico Information technology - Management
Database management - Computer programs
ISBN 1-58347-844-2
1-58347-847-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Copyright; About the Author; Contents; Forewords; By Aditya Kongara; By John R. Talburt; By Aaron Zornes; Preface; Part I-Introduction; 1: An Introduction to Data Governance; Definition; Case Study; The Pillars of Data Governance; Summary; 2: Enterprise Data Management Reference Architecture; Edm Categories; Big Data; Data Governance Tools; Summary; Part II-Categories of Data Governance Tools; 3: The Business Glossary; Bulk-load Business Terms in Excel, CSV, or XML Format; Create Categories of Business Terms; Facilitate Social Collaboration
Automatically Hyperlink Embedded Business TermsAdd Custom Attributes to Business Terms and Other Data Artifacts; Add Custom Relationships to Business Terms and Other Data Artifacts; Add Custom Roles to Business Terms and Other Data Artifacts; Link Business Terms and Column Names to the Associated Reference Data; Link Business Terms to Technical Metadata; Support the Creation of Custom Asset Types; Flag Critical Data Elements; Provide OOTB and Custom Workflows to Manage Business Terms and Other Data Artifacts; Review the History of Changes to Business Terms and Other Data Artifacts
Allow Business Users to Link to the Glossary Directly From Reporting ToolsSearch for Business Terms; Integrate Business Terms with Associated Unstructured Data; Summary; 4: Metadata Management; Pull Logical Models From Data Modeling Tools; Pull Physical Models From Data Modeling Tools; Ingest Metadata From Relational Databases; Pull in Metadata From Data Warehouse Appliances; Integrate Metadata From Legacy Data Sources; Pull Metadata From ETL Tools; Pull Metadata From Reporting Tools; Reflect Custom Code in the Metadata Tool; Pull Metadata From Analytics Tools
Link Business Terms with Column NamesPull Metadata From Data Quality Tools; Pull Metadata From Big Data Sources; Provide Detailed Views on Data Lineage; Customize Data Lineage Reporting; Manage Permissions in the Metadata Repository; Support the Search for Assets in the Metadata Repository; Summary; 5: Data Profiling; Conduct Column Analysis; Discover the Values Distribution of a Column; Discover the Patterns Distribution of a Column; Discover the Length Frequencies of a Column; Discover Hidden Sensitive Data; Discover Values with Similar Sounds in a Column
Agree on the Data Quality Dimensions for the Data Governance ProgramDevelop Business Rules Relating to the Data Quality Dimensions; Profile Data Relating to the Completeness Dimension of Data Quality; Profile Data Relating to the Conformity Dimension of Data Quality; Profile Data Relating to the Consistency Dimension of Data Quality; Profile Data Relating to the Synchronization Dimension of Data Quality; Profile Data Relating to the Uniqueness Dimension of Data Quality; Profile Data Relating to the Timeliness Dimension of Data Quality
Profile Data Relating to the Accuracy Dimension of Data Quality
Record Nr. UNINA-9910788063403321
Soares Sunil  
Boise, Idaho : , : MC Press Online, LLC, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data governance tools : evaluation criteria, big data governance, and alignment with enterprise data management. / / Sunil Soares
Data governance tools : evaluation criteria, big data governance, and alignment with enterprise data management. / / Sunil Soares
Autore Soares Sunil
Pubbl/distr/stampa Boise, Idaho : , : MC Press Online, LLC, , 2014
Descrizione fisica 1 online resource (453 p.)
Disciplina 658.4038
Soggetto topico Information technology - Management
Database management - Computer programs
ISBN 1-58347-844-2
1-58347-847-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Copyright; About the Author; Contents; Forewords; By Aditya Kongara; By John R. Talburt; By Aaron Zornes; Preface; Part I-Introduction; 1: An Introduction to Data Governance; Definition; Case Study; The Pillars of Data Governance; Summary; 2: Enterprise Data Management Reference Architecture; Edm Categories; Big Data; Data Governance Tools; Summary; Part II-Categories of Data Governance Tools; 3: The Business Glossary; Bulk-load Business Terms in Excel, CSV, or XML Format; Create Categories of Business Terms; Facilitate Social Collaboration
Automatically Hyperlink Embedded Business TermsAdd Custom Attributes to Business Terms and Other Data Artifacts; Add Custom Relationships to Business Terms and Other Data Artifacts; Add Custom Roles to Business Terms and Other Data Artifacts; Link Business Terms and Column Names to the Associated Reference Data; Link Business Terms to Technical Metadata; Support the Creation of Custom Asset Types; Flag Critical Data Elements; Provide OOTB and Custom Workflows to Manage Business Terms and Other Data Artifacts; Review the History of Changes to Business Terms and Other Data Artifacts
Allow Business Users to Link to the Glossary Directly From Reporting ToolsSearch for Business Terms; Integrate Business Terms with Associated Unstructured Data; Summary; 4: Metadata Management; Pull Logical Models From Data Modeling Tools; Pull Physical Models From Data Modeling Tools; Ingest Metadata From Relational Databases; Pull in Metadata From Data Warehouse Appliances; Integrate Metadata From Legacy Data Sources; Pull Metadata From ETL Tools; Pull Metadata From Reporting Tools; Reflect Custom Code in the Metadata Tool; Pull Metadata From Analytics Tools
Link Business Terms with Column NamesPull Metadata From Data Quality Tools; Pull Metadata From Big Data Sources; Provide Detailed Views on Data Lineage; Customize Data Lineage Reporting; Manage Permissions in the Metadata Repository; Support the Search for Assets in the Metadata Repository; Summary; 5: Data Profiling; Conduct Column Analysis; Discover the Values Distribution of a Column; Discover the Patterns Distribution of a Column; Discover the Length Frequencies of a Column; Discover Hidden Sensitive Data; Discover Values with Similar Sounds in a Column
Agree on the Data Quality Dimensions for the Data Governance ProgramDevelop Business Rules Relating to the Data Quality Dimensions; Profile Data Relating to the Completeness Dimension of Data Quality; Profile Data Relating to the Conformity Dimension of Data Quality; Profile Data Relating to the Consistency Dimension of Data Quality; Profile Data Relating to the Synchronization Dimension of Data Quality; Profile Data Relating to the Uniqueness Dimension of Data Quality; Profile Data Relating to the Timeliness Dimension of Data Quality
Profile Data Relating to the Accuracy Dimension of Data Quality
Record Nr. UNINA-9910807438703321
Soares Sunil  
Boise, Idaho : , : MC Press Online, LLC, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
IBM InfoSphere [[electronic resource] ] : a platform for big data governance and process data governance / / Sunil Soares
IBM InfoSphere [[electronic resource] ] : a platform for big data governance and process data governance / / Sunil Soares
Autore Soares Sunil
Edizione [1st ed.]
Pubbl/distr/stampa Boise, Idaho, : MC Press Online, LLC, 2013
Descrizione fisica 1 online resource (113 p.)
Soggetto topico Data protection
IBM software
Soggetto genere / forma Electronic books.
ISBN 1-58347-761-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto pt. I. Big data integration and governance with IBM InfoSphere -- pt. II. Process data governance with IBM InfoSphere.
Record Nr. UNINA-9910452215403321
Soares Sunil  
Boise, Idaho, : MC Press Online, LLC, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
IBM InfoSphere [[electronic resource] ] : a platform for big data governance and process data governance / / Sunil Soares
IBM InfoSphere [[electronic resource] ] : a platform for big data governance and process data governance / / Sunil Soares
Autore Soares Sunil
Edizione [1st ed.]
Pubbl/distr/stampa Boise, Idaho, : MC Press Online, LLC, 2013
Descrizione fisica 1 online resource (113 p.)
Soggetto topico Data protection
IBM software
ISBN 1-58347-761-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto pt. I. Big data integration and governance with IBM InfoSphere -- pt. II. Process data governance with IBM InfoSphere.
Record Nr. UNINA-9910779517603321
Soares Sunil  
Boise, Idaho, : MC Press Online, LLC, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
IBM InfoSphere [[electronic resource] ] : a platform for big data governance and process data governance / / Sunil Soares
IBM InfoSphere [[electronic resource] ] : a platform for big data governance and process data governance / / Sunil Soares
Autore Soares Sunil
Edizione [1st ed.]
Pubbl/distr/stampa Boise, Idaho, : MC Press Online, LLC, 2013
Descrizione fisica 1 online resource (113 p.)
Soggetto topico Data protection
IBM software
ISBN 1-58347-761-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto pt. I. Big data integration and governance with IBM InfoSphere -- pt. II. Process data governance with IBM InfoSphere.
Record Nr. UNINA-9910820120903321
Soares Sunil  
Boise, Idaho, : MC Press Online, LLC, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui