Handbook of Research on Innovations in Database Technologies and Applications Current and Future Trends 1st Edition by Viviana Ferraggine, Jorge Doorn, Laura Rivero ISBN 1605662429 9781605662428

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ISBN 10: 1605662429
ISBN 13: 9781605662428
Author: Viviana Ferraggine, Jorge Doorn, Laura Rivero

There are a variety of new directions in which databases are growing, revealing new and exciting challenges and promising changes for the whole of society. The Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends provides a wide compendium of references to topics in the field of database systems and applications. Offering an ideal resource of knowledge for students, researchers, and practitioners needing speedy and reliable information and authoritative references in database technologies, this reference book supplies not only broad coverage and definitions of the most important issues, basic concepts, trends, and technologies in this area, but also interesting surveys on classical subjects.

Handbook of Research on Innovations in Database Technologies and Applications Current and Future Trends 1st Table of contents:

Part I: Foundations and Trends in Database Technologies

1. Introduction to Database Technologies

   • History and evolution of databases
   • Key concepts in database management systems (DBMS)
   • The significance of databases in modern computing

2. Trends in Database Architecture

   • Relational vs. NoSQL databases
   • NewSQL and distributed database architectures
   • Cloud-native databases and microservices architectures

3. Emerging Database Models

   • Graph databases and their applications
   • Time-series and spatial databases
   • In-memory databases and high-performance systems

4. Big Data and Analytics in Databases

   • Handling large-scale data: Hadoop, Spark, and beyond
   • Data warehousing and OLAP systems
   • Machine learning and AI integration with databases

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Part II: Database Applications and Use Cases

5. Database Applications in Industry

   • Healthcare: Managing patient data and medical records
   • Finance: Transactional systems and data analytics
   • E-commerce: Personalized recommendation systems
   • Social media and content management systems

6. Data Integration and Interoperability

   • Data lakes and data pipelines
   • ETL (Extract, Transform, Load) processes
   • API-driven data integration and data federation

7. Database Security and Privacy

   • Securing sensitive data in databases
   • Encryption, authentication, and access control
   • GDPR and data privacy considerations

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Part III: Advanced Database Topics

8. Distributed Databases and Cloud Computing

   • Sharding and replication in distributed systems
   • Database-as-a-Service (DBaaS) and cloud databases
   • Scalability and fault tolerance in distributed databases

9. Blockchain and Decentralized Databases

   • Overview of blockchain technology
   • Cryptographic techniques in databases
   • Use cases for decentralized databases in finance, supply chain, etc.

10. AI and Machine Learning in Database Management

    • AI-driven query optimization
    • Predictive analytics and automated database tuning
    • Knowledge discovery from databases

11. Database Querying and Optimization

    • Query languages: SQL, NoSQL, SPARQL, and beyond
    • Query optimization techniques and challenges
    • Indexing, caching, and performance tuning

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Part IV: Future Directions and Challenges

12. Database Systems for the Internet of Things (IoT)

    • Data management challenges in IoT environments
    • Real-time data processing and edge computing
    • Stream processing databases

13. Next-Generation Database Technologies

    • Quantum databases and quantum computing integration
    • Autonomous databases powered by AI
    • The role of machine learning in database design and management

14. Sustainability and Green Computing in Databases

    • Energy-efficient database systems
    • Sustainability in cloud and data center operations
    • The environmental impact of big data and storage

15. Ethical Considerations and the Future of Data Management

    • Ethical issues in data collection and storage
    • The evolving role of databases in society
    • The future of database technologies in addressing global challenges

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