Master SQL: A Comprehensive Beginners and Interactive Guide to Learn SQL from Scratch
Have you ever wanted to unravel the secrets of databases and wield the power of SQL? Look no further. "Master SQL:
140 90 2MB
English Pages 184 Year 2023
Table of contents :
About the Author
Acknowledgments
Introduction
Chapter 1: Foundations of Databases and SQL
Chapter 2: Setting Up Your Data Environment
Chapter 3: Structuring Databases and Tables
Chapter 4: Essential SQL Queries
Chapter 5: Aggregating and Grouping Data
Chapter 6: Joins and Relationships
Chapter 7: Data Cleaning and Preparation
Chapter 8: Advanced Query Techniques
Chapter 9: Window Functions and Analytical Queries
Chapter 10: Time-Series Analysis with SQL
Chapter 11: Geospatial Analysis and GIS Integration
Chapter 12: Working with JSON and Semi-Structured Data
Chapter 13: Data Visualization and Charting
Chapter 14: Performance Optimization and Indexing
Chapter 15: Data Security and Access Control
Chapter 16: ETL Processes and Automation
Chapter 17: Advanced Data Analytics Techniques
Chapter 18: Big Data and Cloud Integration
Chapter 19: Real-Time Data Streaming and Processing
Chapter 20: Ethical Considerations in Data Analysis
Chapter 21: Telling Compelling Data Stories
Chapter 22: Beyond SQL: Emerging Trends and Technologies
Conclusion
About the Author
Acknowledgments
Introduction
Chapter 1: Foundations of Databases and SQL
Chapter 2: Setting Up Your Data Environment
Chapter 3: Structuring Databases and Tables
Chapter 4: Essential SQL Queries
Chapter 5: Aggregating and Grouping Data
Chapter 6: Joins and Relationships
Chapter 7: Data Cleaning and Preparation
Chapter 8: Advanced Query Techniques
Chapter 9: Window Functions and Analytical Queries
Chapter 10: Time-Series Analysis with SQL
Chapter 11: Geospatial Analysis and GIS Integration
Chapter 12: Working with JSON and Semi-Structured Data
Chapter 13: Data Visualization and Charting
Chapter 14: Performance Optimization and Indexing
Chapter 15: Data Security and Access Control
Chapter 16: ETL Processes and Automation
Chapter 17: Advanced Data Analytics Techniques
Chapter 18: Big Data and Cloud Integration
Chapter 19: Real-Time Data Streaming and Processing
Chapter 20: Ethical Considerations in Data Analysis
Chapter 21: Telling Compelling Data Stories
Chapter 22: Beyond SQL: Emerging Trends and Technologies
Conclusion
