<p><b>Learn everything you need to know to build efficient SQL queries using this easy-to-follow beginner's guide</b></p> <h4>Key Features</h4> <ul><li>Explore all SQL statements in depth using a variety of examples </li> <li>Get to grips with database querying, data aggregate, manipulation, and muc
SQL Database Management and Query Language: Database Management
โ Scribed by Edet, Theophilus
- Publisher
- CompreQuest Books
- Year
- 2023
- Tongue
- English
- Leaves
- 203
- Series
- Mastering Database Management Series
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Unlock the Power of Data with SQL Mastery!
Are you eager to harness the full potential of databases and SQL for your career or personal projects? SQL Database Management and Query Language is your ultimate guide to mastering these essential skills. Whether you're a beginner looking to build a strong foundation or an experienced professional aiming to fine-tune your expertise, this comprehensive book has you covered.
Why This Book?
Comprehensive Learning: With 24 carefully crafted modules, you'll progress from SQL basics to advanced topics seamlessly. Each module is designed to provide practical knowledge and hands-on experience.
Real-World Examples: Dive into practical examples and code snippets that simulate real-world scenarios. Learn how to retrieve, filter, aggregate, modify data, and manage databases efficiently.
Database Security: Safeguard your data with a deep understanding of security concerns, user authentication, authorization, role-based access control, and data encryption.
Cloud Databases: Explore the world of cloud databases and learn about Amazon Web Services (AWS), Azure, Google Cloud, and how to migrate your data effortlessly.
Big Data and NoSQL: Discover the complexities of Big Data, NoSQL databases, distributed databases, and how they are shaping the future of data management.
Database Administration: Understand the vital role of a Database Administrator (DBA) and delve into performance monitoring, capacity planning, resource management, and disaster recovery planning.
Emerging Trends: Stay ahead of the curve by exploring emerging trends like AI, machine learning, blockchain, and graph databases.
Whether you're a student, developer, analyst, or aspiring DBA, this book equips you with the skills and essential knowledge you need to thrive in the data-driven world. Dive into SQL Database Management and Query Language today and embark on a transformative journey towards becoming a database expert.
โฆ Table of Contents
Preface
Introduction to Databases and SQL
Introduction to Databases and DBMS
Relational Database Concepts
Role of SQL in Database Management
Setting Up a SQL Environment
Setting Up on macOS
SQL Basics and Data Manipulation
SQL Syntax and Statements
Retrieving Data with SELECT
Filtering Data with WHERE
Sorting Data with ORDER BY
Data Filtering and Advanced Queries
Using Logical Operators (AND, OR, NOT)
Working with NULL Values
Pattern Matching with LIKE
Combining Conditions with BETWEEN and IN
Aggregation and Grouping
Aggregate Functions (SUM, AVG, COUNT, etc.)
GROUP BY Clause and Grouped Queries
HAVING Clause for Filtering Grouped Data
Combining Aggregation and Filtering
Joining Tables
Introduction to Joins
INNER JOIN and Equi-Join
LEFT and RIGHT JOIN
FULL OUTER JOIN and Self-Joins
Subqueries and Set Operations
Subqueries in SELECT Statements
Correlated Subqueries
Set Operations: UNION, INTERSECT, EXCEPT
Combining Queries with UNION ALL
Data Modification and Transactions
Inserting Data with INSERT
Updating Data with UPDATE
Deleting Data with DELETE
Transactions and Data Integrity
Constraints and Indexing
Primary Key and Unique Constraint
Foreign Key Constraint
Check Constraint
Indexes for Performance Optimization
Views and Materialized Views
Creating and Managing Views
Updating Data through Views
Materialized Views for Performance
Use Cases of Views in Database Design
Stored Procedures and Functions
Introduction to Stored Procedures
Creating and Executing Stored Procedures
User-Defined Functions
Benefits of Stored Procedures and Functions
Triggers and Events
Introduction to Triggers
Creating and Managing Triggers
Trigger Types: INSERT, UPDATE, DELETE
Scheduled Events and Automation
Transactions and Concurrency Control
ACID Properties of Transactions
Transaction Isolation Levels
Locking Mechanisms and Deadlocks
Optimistic and Pessimistic Concurrency Control
Database Design and Normalization
Database Design Principles
Functional Dependencies and Normalization
First, Second, and Third Normal Form
Normalization Case Studies
Data Modeling and ER Diagrams
Introduction to Data Modeling
Entity-Relationship (ER) Diagrams
Cardinality and Relationships
Translating ER Diagrams to SQL Tables
Indexing and Performance Optimization
Index Types: B-Tree, Hash, Bitmap, etc.
Choosing the Right Index
Query Optimization Techniques
Analyzing Query Execution Plans
Backup and Recovery
Importance of Database Backups
Full, Differential, and Incremental Backups
Backup Strategies and Scheduling
Database Recovery and Point-in-Time Restore
Security and Authentication
Database Security Concerns
User Authentication and Authorization
Role-Based Access Control
Data Encryption and Auditing
NoSQL and Non-Relational Database
Introduction to NoSQL Databases
Types of NoSQL Databases: Document, Key-Value, Columnar, Graph
Differences between SQL and NoSQL
Use Cases and Limitations of NoSQL
Database Migration and Integration
Importing and Exporting Data
Data Transformation and ETL Processes
Data Integration with ETL Tools
Challenges and Best Practices in Data Migration
Advanced SQL Topics
Cloud Databases and Database as a Service (DBaaS)
Introduction to Cloud Databases
Benefits and Challenges of Cloud Databases
Database Providers: AWS, Azure, Google Cloud
Migrating to Cloud Databases
Big Data and Distributed Databases
Overview of Big Data and Distributed Databases
CAP Theorem: Consistency, Availability, Partition Tolerance
NoSQL Databases for Big Data
Hadoop, Spark, and Distributed Querying
Database Administration and Management
Role of Database Administrator (DBA)
Performance Monitoring and Tuning
Capacity Planning and Resource Management
Disaster Recovery Planning
Emerging Trends in Database Management
Database Trends: AI, Machine Learning, and Predictive Analytics
Blockchain and Distributed Ledgers
Graph Databases and Social Network Analysis
Future Directions in Database Management
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