SQL and Relational Theory How to Write Accurate SQL Code 2nd Edition by CJ Date – Ebook PDF Instant Download/Delivery: 1449319750, 9781449319755
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Product details:
ISBN 10: 1449319750
ISBN 13: 9781449319755
Author: CJ Date
SQL and Relational Theory How to Write Accurate SQL Code 2nd Table of contents:
Chapter 1: Introduction to SQL and Relational Databases
1.1. What is SQL?
1.2. Relational Database Theory
1.3. The Importance of Accurate SQL Code
1.4. Overview of SQL Syntax and Structure
Chapter 2: The Relational Model
2.1. Key Concepts in Relational Theory
2.2. Tables, Rows, and Columns
2.3. Keys: Primary, Foreign, and Candidate Keys
2.4. Relationships Between Tables
2.5. Normalization and Data Integrity
Chapter 3: SQL Data Types and Operators
3.1. Common SQL Data Types
3.2. SQL Operators and Their Functions
3.3. Type Conversion and Compatibility
3.4. Handling Null Values in SQL
Chapter 4: Writing Simple SQL Queries
4.1. The SELECT Statement
4.2. Filtering Data with WHERE
4.3. Sorting Data with ORDER BY
4.4. Limiting Data with LIMIT / TOP
4.5. Aggregate Functions (COUNT, SUM, AVG, etc.)
Chapter 5: Complex SQL Queries
5.1. Joining Tables: INNER, LEFT, RIGHT, and FULL JOINS
5.2. Subqueries and Nested Queries
5.3. UNION and INTERSECT
5.4. GROUP BY and HAVING Clauses
5.5. Complex Filtering with AND, OR, and NOT
Chapter 6: Advanced SQL Techniques
6.1. Common Table Expressions (CTEs)
6.2. Window Functions and Analytical Queries
6.3. Recursive Queries
6.4. Indexing for Performance Optimization
6.5. Query Optimization Techniques
Chapter 7: Modifying Data with SQL
7.1. Inserting Data: INSERT INTO
7.2. Updating Data: UPDATE
7.3. Deleting Data: DELETE
7.4. Transactions and the ACID Properties
7.5. Handling Errors and Rollbacks
Chapter 8: Relational Theory Applied to SQL Design
8.1. Entity-Relationship Model (ER Model)
8.2. Translating ER Models to SQL Schemas
8.3. The Importance of Normalization
8.4. Denormalization for Performance
8.5. Designing Scalable Databases
Chapter 9: Writing Accurate SQL Code
9.1. Avoiding Common SQL Mistakes
9.2. Best Practices for Readable SQL Code
9.3. Debugging and Troubleshooting SQL Queries
9.4. Using SQL Code Reviews and Version Control
9.5. Maintaining SQL Code Quality Over Time
Chapter 10: SQL in the Real World
10.1. SQL in Data Warehousing
10.2. SQL in Data Analytics and Reporting
10.3. SQL in Web Applications and APIs
10.4. SQL and Big Data Technologies
Chapter 11: Conclusion and Future of SQL and Relational Databases
11.1. The Future of Relational Database Management Systems (RDBMS)
11.2. SQL and NoSQL Databases: A Comparison
11.3. Emerging Trends in SQL and Database Management
11.4. The Evolution of Database Design and Theory
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