Johns Hopkins University
Foundations of Distributed Database Systems
Johns Hopkins University

Foundations of Distributed Database Systems

David Silberberg

Instructor: David Silberberg

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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
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.

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

David Silberberg
Johns Hopkins University
3 Courses39 learners

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