The course "Foundations of Distributed Database Systems" lays the foundation for understanding distributed database systems, a cornerstone of modern data management. You’ll delve into core principles and architectures, gaining insight into the challenges of managing data across distributed environments. Through hands-on learning, you’ll explore horizontal and vertical partitioning techniques, understanding how to apply them to improve query performance and scalability.
Foundations of Distributed Database Systems
Foundations of Distributed Database Systems
This course is part of Large-Scale Database Systems Specialization
Instructor: David Silberberg
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
17 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Understand distributed database architectures and translate SQL queries into relational algebra expressions for optimization.
Apply horizontal partitioning techniques to enhance database performance and scalability based on query patterns.
Implement vertical partitioning strategies to improve query response times and manage data more efficiently in distributed systems.
Skills you'll gain
Details to know
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Recently updated!
December 2024
Assessments
9 assignments
Taught in English
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This course is part of the Large-Scale Database Systems Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
This course provides a comprehensive overview of distributed database systems, focusing on their architecture and key components. Students will explore the significance of distributed databases in modern data management and delve into the challenges they present, including data consistency, scalability, and fault tolerance.
What's included
2 readings
This course delves into the core principles and challenges of distributed database systems, essential for modern data management. Students will learn to define various distributed database architectures, identify key issues in distributed systems, and translate SQL queries into relational algebra expressions, equipping them with the skills to manage and optimize distributed databases.
What's included
8 videos5 readings3 assignments
This course provides an in-depth exploration of horizontal partitioning techniques in distributed databases. Students will learn to identify scenarios where horizontal partitioning enhances query performance and will gain practical experience in implementing horizontal partitioning strategies based on specific user query patterns, optimizing database responses for improved efficiency and scalability.
What's included
5 videos4 readings3 assignments
This module explores the vertical partitioning technique, a powerful method for optimizing distributed database performance. You'll learn to identify scenarios where vertical partitioning enhances query response times and gain practical skills in implementing this technique based on specific user query patterns, leading to more efficient database management.
What's included
4 videos4 readings3 assignments
Instructor
Offered by
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Johns Hopkins University
Johns Hopkins University
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