Mastering Databases From Fundamentals to Modern Data Systems

Whether you're designing your first schema or optimizing a distributed database in the cloud, this book empowers you to build efficient, scalable, and secure data systems for real-world applications.
What You'll Learn:
Core Concepts
- What is a database, DBMS vs. RDBMS, and how data systems evolved
- Difference between file systems and databases
- Relational model, keys, constraints, and relationships
SQL Essentials
- Master SELECT, INSERT, UPDATE, DELETE
- Filtering, sorting, joins, subqueries, window functions, and more
- Views, indexes, and performance-focused SQL
Database Design Principles
- ER diagrams, normalization (1NF-5NF), denormalization
- Design best practices for scalable applications
Transactions & Concurrency
- ACID, isolation levels, locking, MVCC, and deadlocks explained
Modern Data Architectures
- NoSQL (Key-Value, Document, Columnar, Graph)
- Big Data (Hadoop, Spark SQL, BigQuery)
- Cloud databases: AWS RDS, Azure SQL, Google Spanner
- Serverless and distributed systems
AI & Automation in Data Systems
- Predictive optimization, intelligent agents, self-healing databases
- Privacy, bias, explainability, and federated learning
Hands-On Learning
- Case studies: E-commerce, inventory systems, social media
- Projects: Library manager, blog backend, real-time chat app
- Code repositories and ER templates included
Who This Book Is For:
✔ Computer Science and IT students
✔ Software developers & backend engineers
✔ Data analysts and aspiring data scientists
✔ Interview candidates preparing for database & system design rounds
✔ Tech professionals transitioning into database, cloud, or data engineering roles
✔ Anyone seeking a modern, comprehensive understanding of databases
Mastering Databases bridges the gap between theory and practice, giving you the confidence to build, optimize, and understand modern data systems from the ground up.

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