Database Technologies PDF

DATABASE PLATFORM TECHNOLOGIES INTRODUCTION TO DATABASE TECHNOLOGIES Definition of a database Importance of databases in modern applications Overview of various database types 2 TYPES OF DATABASES Relational Databases (RDBMS) Examples: MySQL, PostgreSQL...

DATABASE PLATFORM TECHNOLOGIES INTRODUCTION TO DATABASE TECHNOLOGIES Definition of a database Importance of databases in modern applications Overview of various database types 2 TYPES OF DATABASES Relational Databases (RDBMS) Examples: MySQL, PostgreSQL, Oracle NoSQL Databases Examples: MongoDB, Cassandra, Redis NewSQL Databases Examples: Google Spanner, RELATIONAL DATABASE MANAGEMENT SYSTEMS (RDBMS) Structure: Tables, Rows, Columns ACID properties (Atomicity, Consistency, Isolation, Durability) NOSQL DATABASES Types: Document, Key-Value, Column- Family, Graph Schema flexibility and scalability Use cases: Big data, real-time analytics, content management 5 NEWSQL DATABASES Combination of relational and NoSQL features Scalability with ACID compliance Use cases: Cloud applications, high-transaction environments 6 DATABASE MANAGEMENT SYSTEMS (DBMS) FEATURES Data storage and retrieval Data integrity and security Backup and recovery 7 CLOUD DATABASE TECHNOLOGIES Overview of cloud database services (e.g., AWS RDS, Azure SQL Database, Google Cloud Spanner) Benefits: Scalability, cost- effectiveness, managed services Considerations: Vendor lock-in, 8 data security  EMERGING TRENDS IN DATABASE TECHNOLOGIES ​ Multi-model databases Serverless databases Database automation and AI-driven management 9 CHOOSING THE RIGHT DATABASE TECHNOLOGY Factors to consider: Data structure, scalability, performance needs, budget Use case examples for different database technologies Importance of aligning technology with business goals 10 CHALLENGES IN DATABASE MANAGEMENT Data security and privacy concerns Performance optimization Managing distributed databases 11  CONCLUSION In conclusion, the landscape of database platform technologies is diverse and continually evolving, offering a variety of solutions tailored to meet the needs of modern applications. As we explored, relational databases remain foundational for transactional systems, while NoSQL databases provide the flexibility and scalability required for handling large volumes of unstructured data. NewSQL databases bridge the gap between traditional relational systems and the demands of high-performance cloud environments. The rise of cloud database technologies has revolutionized how organizations manage their data, providing scalable and cost-effective solutions, though considerations around vendor lock-in and data security must be carefully evaluated. Emerging trends like multi- model databases and AI-driven management are set to shape the future of database technologies, making it crucial for businesses to stay informed and adaptable. Ultimately, choosing the right database technology involves a careful assessment of your specific use case, data requirements, and organizational goals. By understanding the strengths and challenges of each database type, organizations can make informed decisions that enhance their data management strategies and drive business success. 12 THANK YOU! John Nicole Mosquera John Carlo Araneta John Kenneth Ang Jotham Cesar Laurico