Jerald Savin

The Discipline of Data (eBook, PDF)

What Non-Technical Executives Don't Know About Data and Why It's Urgent They Find Out

• Format: PDF

Produktbeschreibung

Pulling aside the curtain of 'Big Data' buzz, this book introduces C-suite and other non-technical senior leaders to the essentials of obtaining and maintaining accurate, reliable data, especially for decision-making purposes.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 216
• Erscheinungstermin: 6. Juli 2023
• Englisch
• ISBN-13: 9781000894363
• Artikelnr.: 68089990

Autorenporträt

Jerry Savin is Founder, President, and CEO of Cambridge Technology Consulting Group, Inc., which specializes in Automated Business Software, including assessment, selection, implementation, and troubleshooting, Data Architecture, IT Auditing and Compliance, and Judicial Expert Witness Testimony. Jerry has taught at UCLA Extension for 30+ years, the UCR Graduate School of Business for 10 years, and California State University Northridge for 9 years teaching course in Information Systems, IT Auditing and general IS classes.

Inhaltsangabe

1 Preface. 2 Data - Introduction. 3 The Many Facets of Data. 3.1 Basic
Concepts. 3.2 Basic Terms and Terminology. 4 Domain Specific Topics. 4.1
Data Governance. 4.2 Data Architecture. 4.3 Databases. 4.4 Master Data and
Master Data Management. 4.5 Metadata and Metadata Management. 4.6 Data
Quality. 4.7 Null Values. 4.8 Data Modeling and Design. 4.9 Data
Integration and Interoperability. 4.10 Data Security. 4.11 Data at Rest and
Data in Motion. 4.12 Data Wrangling and Data Storage. 5 Data: Past, Present
and Future. 5.1 Data - The Past. 5.2 Data - The Present. 5.3 Data - The
Future. 6 The New Reality. 7 Data - Use Cases.8 To Sum Up. 9 Data -
Optimization. 10 Epilog

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1 Preface. 2 Data - Introduction. 3 The Many Facets of Data. 3.1 Basic Concepts. 3.2 Basic Terms and Terminology. 4 Domain Specific Topics. 4.1 Data Governance. 4.2 Data Architecture. 4.3 Databases. 4.4 Master Data and Master Data Management. 4.5 Metadata and Metadata Management. 4.6 Data Quality. 4.7 Null Values. 4.8 Data Modeling and Design. 4.9 Data Integration and Interoperability. 4.10 Data Security. 4.11 Data at Rest and Data in Motion. 4.12 Data Wrangling and Data Storage. 5 Data: Past, Present and Future. 5.1 Data - The Past. 5.2 Data - The Present. 5.3 Data - The Future. 6 The New Reality. 7 Data - Use Cases.8 To Sum Up. 9 Data - Optimization. 10 Epilog