When will I have access to the lectures and assignments?

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Distributed Query Optimization and Security

Économisez sur les compétences qui vous font briller avec 40 % de réduction sur 3 mois de Coursera Plus. Économisez maintenant

Ce cours n'est pas disponible en Français (France)

Nous sommes actuellement en train de le traduire dans plus de langues. Consultez les langues disponibles.

Distributed Query Optimization and Security

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

Learners will gain skills in implementing database security through views, dynamic authorization, and semantic integrity rules.
Students will understand query optimization techniques, cost evaluation, and the creation of optimized query plans to enhance database performance.
Learners will master distributed query optimization, using cost models, MapReduce, and HDFS for efficient data storage, compression, and processing.

Compétences que vous acquerrez

Catégorie : File Systems
Catégorie : Data Storage Technologies
Catégorie : Database Development
Catégorie : Distributed Computing
Catégorie : Data Integrity
Catégorie : Database Management
Catégorie : Data Processing
Catégorie : Performance Tuning
Catégorie : Database Theory
Catégorie : Algorithms
Catégorie : Data Access
Catégorie : Authorization (Computing)
Catégorie : Big Data
Catégorie : SQL
Catégorie : Database Architecture and Administration

Outils que vous découvrirez

Catégorie : Query Languages
Catégorie : Database Management Systems
Catégorie : Apache Hadoop

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Évaluations

9 devoirs

Enseigné en Anglais

Découvrez comment les employés des entreprises prestigieuses maîtrisent des compétences recherchées

En savoir plus sur Coursera pour les affaires

logos de Petrobras, TATA, Danone, Capgemini, P&G et L'Oreal

Élaborez votre expertise du sujet

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.

Apprenez de nouveaux concepts auprès d'experts du secteur
Acquérez une compréhension de base d'un sujet ou d'un outil
Développez des compétences professionnelles avec des projets pratiques
Obtenez un certificat professionnel partageable

Il y a 4 modules dans ce cours

The course "Distributed Query Optimization and Security" provides a comprehensive exploration of query optimization and data security in distributed databases. Students will gain in-depth knowledge of how to secure data access through views and dynamic authorization techniques, essential for maintaining the integrity and confidentiality of distributed systems. Learners will also master distributed query processing, understanding how to evaluate, optimize, and implement efficient query plans. The course uniquely blends advanced database security techniques with practical applications of large-scale data systems, such as Hadoop, MapReduce, and HDFS.

By completing this course, learners will be equipped with the skills to optimize complex queries, enhance database security, and handle large datasets effectively. With hands-on experience in MapReduce and HDFS, learners will develop the ability to create scalable, optimized, and secure distributed database systems. This course is ideal for professionals seeking to advance their expertise in database management and distributed systems, with a focus on both performance optimization and data protection.

Détails du module

This course delves into advanced topics in query processing and data security within distributed databases. Students will learn about semantic data control, including the use of views and authorization techniques, to secure data access. The course also covers distributed query processing, and optimization methods. By understanding these techniques, learners will develop skills to create optimized, secure distributed databases capable of handling complex data queries. This module also introduces another paradigm of large-scale data systems supported by Hadoop, MapReduce and HDFS.

Inclus

2 lectures

This course provides an in-depth exploration of database security, focusing on defining and implementing views for secure data access. Students will learn how to apply dynamic authorization techniques through cascading grant and revoke policies, and specify semantic integrity rules essential for maintaining security and consistency within distributed database systems.

Inclus

3 vidéos4 lectures3 devoirs

3 vidéosTotal 24 minutes

Enforcing Semantic Integrity12 minutes
Enforcing Semantic Distributed Integrity8 minutes
Cascading Revokes5 minutes

4 lecturesTotal 140 minutes

Semantic Data Control20 minutes
Reading References40 minutes
Reading References40 minutes
Self-Reflective Reading: Privilege Management in Distributed Databases40 minutes

3 devoirsTotal 90 minutes

Semantic Data Control60 minutes
Implementing Database Security Through Views15 minutes
Dynamic Authorization and Cascading Grant and Revoke Policies15 minutes

This course delves into the critical aspects of query optimization in databases, focusing on the motivation behind optimizing queries, evaluating the cost-effectiveness of various query plans, and understanding the steps involved in the optimization process. Students will learn to calculate optimization costs and decompose SQL queries into efficient, optimized query trees, enhancing overall database performance.

Inclus

3 vidéos4 lectures3 devoirs

3 vidéosTotal 47 minutes

Query Processing Example18 minutes
Query Transformation Rules14 minutes
Query Operations Costs15 minutes

4 lecturesTotal 190 minutes

Distributed Query Processing30 minutes
Reading References60 minutes
Reading References60 minutes
Self-Reflective Reading: The Power of a Unified Model in Query Processing40 minutes

3 devoirsTotal 90 minutes

Distributed Query Processing60 minutes
The Motivation for Query Optimization18 minutes
Evaluating the Cost-Effectiveness of Query Plans12 minutes

This module delves into distributed query optimization techniques, introducing key methodologies to improve performance in distributed systems using cost models and heuristics for near-optimal query plans. Learners will gain practical skills in query optimization, leveraging the semi-join algorithm. Learners will also gain experience in another popular large-scale data approach embodied in MapReduce supported by the Hadoop Distributed File System (HDFS) to efficiently process large datasets. Through hands-on exercises, students will practice writing HDFS code for data storage and manipulation, focusing on data compression and decompression, and employ advanced MapReduce patterns for optimal data processing..

Inclus

6 vidéos6 lectures3 devoirs

6 vidéosTotal 53 minutes

Query Optimization Steps6 minutes
Query Optimization Statistics15 minutes
Ingres Algorithm7 minutes
System R Algorithm12 minutes
Distributed Ingres7 minutes
System R* Algorithm7 minutes

6 lecturesTotal 320 minutes

Distributed Query Optimization40 minutes
Hadoop Distributed File System (HDFS) and Advanced Hadoop40 minutes
Reading References 120 minutes
Reading References40 minutes
Self-Reflective Reading: Query Optimization and an Introduction to Hadoop, MapReduce and HDFS 140 minutes
Self-Reflective Reading: HDFS Modifications for Enhanced Random Access Performance40 minutes

3 devoirsTotal 90 minutes

Query Optimization and an Introduction to Hadoop, MapReduce and HDFS60 minutes
Optimizing Data Processing with HDFS and Hadoop15 minutes
Understanding System R Algorithm15 minutes

Obtenez un certificat professionnel

Ajoutez ce titre à votre profil LinkedIn, à votre curriculum vitae ou à votre CV. Partagez-le sur les médias sociaux et dans votre évaluation des performances.