Welcome to the repository containing my projects for the Databases 2 course. This repository showcases the assignments and projects I developed during the semester, exploring various types of databases and advanced database concepts.
The Databases 2 course offers an in-depth exploration of different database technologies and their applications. Students learn about traditional relational databases as well as specialized databases for spatial data, graph data, and document-oriented data. The course also covers data warehousing, indexing techniques, and working with lightweight databases like SQLite. Through practical assignments and projects, students gain hands-on experience with diverse database systems and learn to leverage their unique capabilities to solve complex data management problems.
- Indexing Techniques
- Spatial Databases
- Graph Databases
- Document-oriented Databases with CouchDB
- Data Warehousing
- Working with SQLite
Project 1: Indexing Techniques Description: This project focuses on indexing techniques to optimize database performance. It includes creating and managing different types of indexes and understanding their impact on query performance.
Key Technologies: B-trees, Hash indexes, GIST indexes, PostgreSQL
Project 2: Spatial Databases Description: This project explores spatial databases, which are optimized for storing and querying spatial data. It includes working with geographic information systems (GIS) and spatial SQL queries.
Key Technologies: PostGIS, Spatial SQL, GIS
Project 3: Graph Databases Description: This project focuses on graph databases, which are designed to store and query graph-structured data. It covers graph theory concepts and querying graph data using specialized languages.
Key Technologies: Neo4j, Cypher
Project 4: Document-oriented Databases with CouchDB Description: This project involves working with CouchDB, a document-oriented NoSQL database. It includes storing and querying JSON documents and leveraging CouchDB's replication and synchronization features.
Key Technologies: CouchDB, JSON, NoSQL
Project 5: Data Warehousing Description: This project explores data warehousing concepts and practices. It covers the design and implementation of a data warehouse, ETL processes, and querying large datasets for business intelligence.
Key Technologies: Amazon Redshift, ETL, SQL
Project 6: Working with SQLite Description: This project involves working with SQLite, a lightweight, serverless database. It covers creating, querying, and managing SQLite databases in embedded applications.
Key Technologies: SQLite, SQL
Conclusion Each project in this repository highlights a unique aspect of database technology, providing a well-rounded understanding of different database systems and their applications. Through these projects, I have gained valuable insights and practical skills in database management and optimization. Feel free to explore the repository and reach out if you have any questions or feedback.
Contact For any questions or discussions, please feel free to reach out via [[email protected]] or connect with me on LinkedIn.