Table of contents
Frontmatter
Contents
Preface
Chapter 1: Introduction to Business Intelligence
Chapter 2: Analytics Process and Tools
Chapter 3: Understanding Data
Chapter 4: Big Data
Chapter 5: Data Integration and Quality
Chapter 6: Governance, Security, Privacy, and Ethics
Chapter 7: Data Warehousing
Chapter 8: Data Lakes
Chapter 9: Extraction, Transformation, and Loading (ETL)
Chapter 10: Data Design
Chapter 11: R, SQL, and Python
Chapter 12: Reporting in BI
Chapter 13: Cloud Computing
Chapter 14: Data Visualization
Chapter 15: Predictive Analytics
Chapter 16: BI and Data Analysis
Chapter 17: Data Analysis: Fundamentals and Analytics
Chapter 18: Data Analysis: Advanced Insights
Chapter 19: AI in BI and Data Analysis
Chapter 20: AI in BI and Data Analysis: Risks, Ethics, and Future
Index
24 chapters available
