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Foundations of Distributed Database Systems

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Foundations of Distributed Database Systems

Ce cours fait partie de Spécialisation "Large-Scale Database Systems"

Instructeur : David Silberberg

Inclus avec

4 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

2 semaines à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

4 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

2 semaines à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

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 : Database Architecture and Administration
Catégorie : Data Integrity
Catégorie : Distributed Computing
Catégorie : SQL
Catégorie : Database Design
Catégorie : Database Management
Catégorie : Performance Tuning
Catégorie : Database Theory
Catégorie : Scalability

Outils que vous découvrirez

Catégorie : Database Systems
Catégorie : Query Languages
Catégorie : Relational Databases
Catégorie : Database Management Systems

Détails à connaître

Certificat partageable

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9 devoirs

Enseigné en Anglais

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of learners achieved a positive career outcome

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Ce cours fait partie de la Spécialisation "Large-Scale Database Systems"

Lorsque vous vous inscrivez à ce cours, vous êtes également inscrit(e) à cette Spécialisation.

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Il y a 4 modules dans ce cours

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.

By mastering these concepts, you’ll be equipped to design and optimize databases that handle large-scale data efficiently. What makes this course unique is its emphasis on practical implementation, enabling you to translate theoretical knowledge into actionable skills. Whether you're a student, data professional, or developer, this course will empower you to build robust distributed database systems, a critical skill in today’s data-driven world. Prepare to tackle real-world scenarios with confidence and acquire the expertise to manage the complexities of distributed data systems effectively.

Détails du module

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

8 vidéosTotal 61 minutes

What is a Distributed Database System?9 minutes
Transparency Issues8 minutes
Problems This Course Addresses10 minutes
Normalization Addresses Anomalies in Database Systems4 minutes
ANSI/SPARC Database Architecture7 minutes
Database Architecture Categories10 minutes
Multi-Database Management System6 minutes
Relational Algebra Notation9 minutes

5 lecturesTotal 340 minutes

Introduction to Distributed Database Systems20 minutes
Reading References120 minutes
Reading References120 minutes
Self-Reflective Reading: Collaborative Database Design40 minutes
Self-Reflective Reading: Understanding Relational Algebra40 minutes

3 devoirsTotal 90 minutes

Introduction to Distributed Database Architectures15 minutes
High-Level Issues in Distributed Database Systems15 minutes
Introduction to Distributed Database System60 minutes

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

5 vidéosTotal 36 minutes

The Top-Down Process4 minutes
Example Fragmentation4 minutes
Achieving Correct Fragmentation3 minutes
Working Through Horizontal Fragmentation14 minutes
Derived Horizontal Fragmentation11 minutes

4 lecturesTotal 140 minutes

Horizontal Partitioning20 minutes
Reading References40 minutes
Reading References40 minutes
Self Reflective Reading: Collaborative Horizontal Partitioning40 minutes

3 devoirsTotal 90 minutes

Identifying Circumstances for Horizontal Partitioning18 minutes
Implementing Horizontal Partitioning Based on Query Patterns12 minutes
Horizontal Partitioning60 minutes

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

4 vidéosTotal 35 minutes

Complexity of Vertical Fragmentation6 minutes
Automating the Clustered Affinity Matrix6 minutes
Simplifying the Bond Energy Algorithm11 minutes
The Partitioning Algorithm13 minutes

4 lecturesTotal 140 minutes

Vertical Partitioning20 minutes
Reading References40 minutes
Reading References40 minutes
Self-Reflective Reading: Vertical Partitioning40 minutes

3 devoirsTotal 90 minutes

Identifying the Need for Vertical Partitioning15 minutes
Understanding Partitioning Algorithm15 minutes
Vertical Partitioning60 minutes

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