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
Ce cours fait partie de Spécialisation Large-Scale Database Systems
Instructeur : David Silberberg
Inclus avec
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Ce que vous apprendrez
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.
Compétences que vous acquerrez
- Catégorie : Distributed Database Architecture Design
- Catégorie : SQL Query Optimization
- Catégorie : Vertical Partitioning Implementation
- Catégorie : Performance Tuning in Distributed Systems
- Catégorie : Horizontal Partitioning Implementation
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décembre 2024
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Il y a 4 modules dans ce cours
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.
Inclus
2 lectures
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.
Inclus
8 vidéos5 lectures3 devoirs
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.
Inclus
5 vidéos4 lectures3 devoirs
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.
Inclus
4 vidéos4 lectures3 devoirs
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Johns Hopkins University
Universidad Nacional Autónoma de México
Universidad Nacional Autónoma de México
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