In the Data-Driven Systems: DBMS, SQL & Data Modeling course, you will gain an essential foundation in database theory and skills, exploring key concepts and architecture within a data-centric system context. You will acquire valuable knowledge and skills in managing, manipulating, and analyzing large datasets, with an emphasis on both relational and NoSQL databases.
Data-Driven Systems: DBMS, SQL & Data Modeling
Data-Driven Systems: DBMS, SQL & Data Modeling
Taught in English
10 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
Details to know
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August 2024
Assessments
14 assignments
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There are 4 modules in this course
In Module 1, you will embark on a journey through the history and evolution of database systems, gaining valuable insights into the milestones that have shaped modern data management. Through critical analysis of historical contexts and past design strategies, you will develop a nuanced understanding of how database designs have progressed and occasionally faltered. We will evaluate the impact of these developments on current database practices and learn to apply this knowledge to assess and enhance database effectiveness.
What's included
4 videos19 readings4 assignments1 discussion prompt
In Module 2, you will explore the intricacies of database modeling, learning to articulate and refine models using established and emerging methodologies. This module aims to equip you with a solid understanding of fundamental modeling concepts, the skills to use UML and Crow’s Foot notations effectively, and the ability to perform and critically analyze Entity Relationship Models. By exploring the principles and components of various data models, you will enhance your ability to develop robust database structures tailored to specific requirements.
What's included
2 videos15 readings6 assignments
In Module 3 you will explore the crucial phases of the database development life cycle, delving deep into the theory and practice of database normalization. This section is designed to enhance your proficiency in developing streamlined and efficient database structures, aligning with industry best practices. Through a comprehensive survey and analysis, you will gain insights into how databases fit within software architectures and the importance of each development stage.
What's included
1 video11 readings2 assignments1 discussion prompt
In Module 4 you will focus on advanced database techniques, with a special emphasis on MongoDB. You will learn about the critical role of normalization in optimizing database design for performance and scalability. Additionally, this part will cover advanced concepts such as document-oriented databases, indexing strategies, and performance tuning, providing you with the skills to implement and manage robust database solutions using MongoDB.
What's included
1 video12 readings2 assignments
Instructor
Offered by
Recommended if you're interested in Data Management
University of California, Irvine
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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