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Distributed Query Optimization and Security
This course is part of Large-Scale Database Systems.
Course Cost
Free course
Intermediate
Skill Level
17 Hours
Self-paced lessons
This comprehensive course explores the critical intersection of query optimization and security in distributed database environments. Students will develop expertise in securing database access through views and dynamic authorization techniques, implementing cascading grant and revoke policies, and enforcing semantic integrity rules essential for maintaining data consistency. The course delves deeply into query optimization, teaching learners to evaluate the cost-effectiveness of different query plans, apply transformation rules, and implement optimization algorithms including Ingres and System R. Advanced topics include distributed query processing and optimization using semi-join algorithms and cost models. The course also introduces Hadoop, MapReduce, and HDFS as complementary approaches to large-scale data management, providing hands-on experience with data compression, storage, and processing techniques. Through practical assignments and self-reflective readings, students will gain the skills needed to design and implement efficient, secure distributed database systems capable of handling complex queries across multiple data sources.
English
What you'll learn
Implement database security through views and authorization techniques
Apply dynamic authorization with cascading grant and revoke policies
Specify and enforce semantic integrity rules in distributed environments
Evaluate the cost-effectiveness of different query plans
Implement query optimization steps and use statistical information
Apply transformation rules to optimize query execution
Understand and implement Ingres and System R optimization algorithms
Utilize Hadoop, MapReduce, and HDFS for large-scale data processing
Skills you'll gain
This course includes:
2 Hours PreRecorded video
9 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
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There are 4 modules in this course
This course provides a comprehensive exploration of two critical aspects of distributed database management: query optimization and security. Organized into four modules, it begins with an introduction to the course themes before diving into semantic data control. Students learn to implement database security through views, dynamic authorization techniques, and semantic integrity rules. The third module focuses on distributed query processing, covering query transformation rules, operation costs, and optimization motivations. The final module explores advanced query optimization techniques including the Ingres and System R algorithms, while also introducing Hadoop, MapReduce, and HDFS as alternative approaches to large-scale data management. Throughout the course, theoretical concepts are reinforced through practical assignments, extensive readings, and self-reflective exercises that develop both technical understanding and critical thinking skills.
Course Introduction
Module 1 · 10 Minutes to complete
Semantic Data Control
Module 2 · 4 Hours to complete
Distributed Query Processing
Module 3 · 5 Hours to complete
Query Optimization and an Introduction to Hadoop, MapReduce and HDFS
Module 4 · 7 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Large-Scale Database Systems
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Faculties
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Frequently asked Questions
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