Relational Database Implementation and Applications
Master advanced database concepts and develop practical skills in database management and application development.
Master advanced database concepts and develop practical skills in database management and application development.
This comprehensive course delves into the advanced aspects of relational database implementation and application development. Students will learn to implement and optimize database structures using indexes, views, triggers, functions, and stored procedures. The curriculum covers advanced SQL techniques, including window functions and OLAP queries. Participants will develop database-driven applications using programming languages like Java, Python, or C++. The course also explores critical concepts such as indexing, hashing, transaction processing, and concurrency control. By the end, students will have a strong foundation in database management, application development, and the skills to ensure data integrity and efficiency in complex database systems.
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What you'll learn
Implement relational databases using indexes, views, triggers, functions, and stored procedures
Apply advanced SQL techniques including window functions and OLAP queries
Develop database-driven applications using programming languages like Java, Python, or C++
Understand and implement indexing and hashing techniques for efficient data retrieval
Describe transaction concepts and their properties (ACID)
Manage concurrency control in database systems
Skills you'll gain
This course includes:
10 Hours PreRecorded video
12 quizzes, 1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
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There are 7 modules in this course
This course provides an in-depth exploration of relational database implementation and applications. It covers advanced topics such as implementing indexes, views, triggers, functions, and stored procedures to optimize database performance. Students will learn advanced SQL techniques, including window functions and OLAP queries, and develop database-driven applications using programming languages like Java, Python, or C++. The course also delves into critical concepts such as indexing, hashing, transaction processing, and concurrency control. By combining theoretical knowledge with practical application, students will gain comprehensive skills in database management and application development.
Indexes, Views, Functions, and Stored Procedures
Module 1 · 7 Hours to complete
Advanced Window Functions and OLAP Queries in SQL
Module 2 · 4 Hours to complete
Database Application Development
Module 3 · 4 Hours to complete
Indexing and Hashing
Module 4 · 4 Hours to complete
Transaction Concepts
Module 5 · 4 Hours to complete
Concurrency Control
Module 6 · 3 Hours to complete
Summative Course Assessment
Module 7 · 3 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructors
Expert in Relational Databases at Illinois Tech
Gerald Balekaki is an Assistant Teaching Professor at Illinois Tech, where he teaches courses in relational databases. His courses include "Introduction to Relational Databases," "Relational Database Design," and "Relational Database Implementation and Applications." In these courses, students learn fundamental concepts of relational database systems, including database design, SQL querying, and practical applications of database management. The curriculum emphasizes hands-on experience with database implementation, indexing, and the development of database-driven applications, preparing students for careers in data management and software development
Associate Teaching Professor of CS
Yousef Elmehdwi is an Associate Teaching Professor in the Department of Computer Science at Illinois Institute of Technology. He specializes in teaching courses related to databases and big data, including Big Data Technologies, Introduction to Relational Databases, Relational Database Design, and Relational Database Implementation and Applications. His courses are designed to provide students with a comprehensive understanding of data management and analytics, essential skills in today's data-driven landscape. In addition to his teaching role, Elmehdwi is involved in cybersecurity research, focusing on various aspects such as software security, network security, and privacy issues. His work aims to address the challenges posed by the increasing reliance on technology and the associated risks to data privacy and security. Through his contributions to both education and research, he plays a crucial role in preparing students for careers in computer science and cybersecurity.
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