Buch, Englisch, 156 Seiten, Paperback, Format (B × H): 170 mm x 240 mm, Gewicht: 343 g
Reihe: Business & economics
Data Governance Principles for Big Data Analytics
Buch, Englisch, 156 Seiten, Paperback, Format (B × H): 170 mm x 240 mm, Gewicht: 343 g
Reihe: Business & economics
ISBN: 978-3-11-066291-7
Verlag: De Gruyter
Autoren/Hrsg.
Fachgebiete
- Sozialwissenschaften Politikwissenschaft Regierungspolitik Wirtschafts- und Finanzpolitik
- Wirtschaftswissenschaften Volkswirtschaftslehre Wirtschaftspolitik, politische Ökonomie
- Wirtschaftswissenschaften Betriebswirtschaft Management Wissensmanagement
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
Weitere Infos & Material
INTRODUCTION SECTION I: INTRODUCTION TO BIG DATA Introduction to Big Data The Three Dimensions of Analytics The Distinction between BI and Analytics Analytics Platform Framework Data Management Body of Knowledge (DMBOK) Data Maturity Model (DMM) SECTION II: BIG DATA GOVERNANCE FUNDAMENTALS Introduction Top 10 Data Breaches Case for Big Data Governance TOGAF View of Data Governance Data Lake vs. Data Warehouse History of Hadoop Hadoop Overview Security Tools for Hadoop The Components of Big Data Governance Myths about Big Data & Hadoop Lake Enterprise Data Governance Directive: Big Data Governance Framework: A Lean & Effective Model The Enterprise Big Data Governance Pyramid Introduction to Big Data Governance Rules Organization Data Stewardship Master Data Management Meta Data Management Security, Privacy & Compliance Quality Management Metadata Best Practices SECTION III: BIG DATA GOVERNANCE BEST PRACTICES Data Governance Best Practices Data Protection Security Architecture for Data Lake Data Structure Design Sandbox Functionality Overview Split Data Design SECTION IV: BIG DATA GOVERNANCE FRAMEWORK PROGRAM Big Data Governance Framework Program Overview Summary