DATABASE MANAGEMENT USING AI: A Comprehensive Guide – Source Code Repository
DATABASE MANAGEMENT USING AI: A Comprehensive Guide – Source Code Repository
Blog Article
Artificial intelligence (AI) is reshaping database management by introducing automation, predictive analytics, and self-optimization. DATABASE MANAGEMENT USING AI: A Comprehensive Guide by A. Purushotham Reddy provides a deep dive into how AI enhances database efficiency, security, and performance. This book serves as a bridge between traditional database management techniques and modern AI-driven solutions, making it an essential resource for professionals and students alike.
About the E-Book
The book explores AI’s role in database optimization, covering topics such as:
Automated query execution and optimization
AI-powered indexing and data retrieval
Predictive analytics for decision-making
Security enhancements through anomaly detection
Self-healing database mechanisms
With practical examples and step-by-step exercises, readers gain hands-on experience in implementing AI-driven database solutions.
The Source Code Repository
To complement the concepts discussed in the book, a dedicated GitHub repository has been created. This repository includes all the source code used in the book’s examples, allowing readers to apply AI techniques in real-world database scenarios.
What’s Inside the Repository?
Practical Code Examples – Covers AI-driven database management techniques.
Hands-On Exercises – Allows readers to experiment with AI models for data processing.
Open Access – eBook Code Repository The code is freely available for learning, modification, and extension.
The Role of AI in Database Management
AI enhances database performance and usability in several ways:
Automated Query Optimization – Reduces execution time by selecting efficient query plans.
Intelligent Indexing – AI dynamically adjusts indexing strategies for faster data retrieval.
Enhanced Security – AI-driven monitoring detects suspicious activities and potential breaches.
Data Integrity & Recovery – AI identifies inconsistencies and automatically restores lost data.
Who Can Benefit from This Resource?
Students & Researchers – Looking to explore AI applications in databases.
Database Administrators – Seeking to eBook Code Repository enhance efficiency and automation.
Developers & Data Scientists – Interested in AI-driven data processing and management.
How to Access the Repository
The source code for the book is available on GitHub:
GitHub Repository: DATABASE MANAGEMENT USING AI
Conclusion
As AI continues to advance, its integration into database management will become essential for organizations seeking smarter, faster, and more secure data handling. DATABASE MANAGEMENT USING AI: A Comprehensive Guide not only explains these advancements but also provides the necessary tools to apply them through its open-source repository. By leveraging AI-driven database techniques, users can stay ahead in the ever-evolving world of data management.