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

Jerald 'Jerry' Savin FIMC, CPA is President/CEO of Cambridge Technology Consulting Group, Inc., a consulting firm based in Santa Monica, California. A professional information systems consultant with decades of experience, Jerry's practice combines information systems with public accounting and business expertise to support his client companies in such areas as data architecture, business intelligence, enterprise resource planning, project management, and IT auditing and compliance. He has been elected an Academic Fellow of the International Council of Management Consulting Institutes and a Fellow of the Institute of Management Consultants (FIMC). He brings his years of experience in industries from aerospace to healthcare to telecommunications to his work as a lecturer at California State University Northridge, University of California Riverside, and UCLA.

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