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Mohamed Sarwat
The increased capabilities of a collection of logically interrelated databases distributed over a computer network enable scalable data processing. This course addresses the components of these systems, covering the following main topics: distributed database architectures, distributed data storage and indexing, distributed and parallel query processing/optimization, and concurrency control in distributed Parallel Database Systems.
Register for this course and see more details by visiting:
OpenCourser.com/course/e34577/distributed
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches topics that are standard in industry
Covers distributed database architectures, distributed data storage and indexing, distributed and parallel query processing/optimization, and concurrency control
Develops skills core to database management
Useful for learners with an interest in exploring advanced database management concepts
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Reviews summary
Underdeveloped assignments
This course has a single review that criticizes the assignments.
Assignments are underdeveloped.
"Assignments are very vaguely described, making it difficult to focus on the problem at hand and instead more on syntax, naming conventions etc"
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Distributed Database Systems with these
activities:
Review Parallel Computing Concepts
Show steps
Ensure you have a foundational understanding of parallel computing before delving into distributed databases.
Browse courses on
Parallel Computing
Show steps
-
Review your notes or textbook chapters on parallel computing.
Review Database Fundamentals
Show steps
Ensure you have a firm grasp of the underlying concepts of databases before starting this course.
Browse courses on
Database Theory
Show steps
-
Review your notes or textbook chapters on database theory.
-
Practice writing SQL queries to retrieve and manipulate data.
Design a Database Schema
Show steps
Create a database schema for a real-world scenario to apply the principles of data modeling.
Browse courses on
Database Schemas
Show steps
-
Identify the entities and relationships in your scenario.
-
Draw an Entity-Relationship Diagram (ERD).
-
Normalize the ERD to eliminate data redundancy and improve performance.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow Tutorials on Concurrency Control
Show steps
Supplement your understanding of concurrency control mechanisms in distributed databases.
Browse courses on
Concurrency Control
Show steps
-
Find online tutorials or video lectures on concurrency control in distributed systems.
-
Follow the tutorials and take notes on the key concepts.
Practice Problems on Data Distribution and Replication
Show steps
Strengthen your understanding of data distribution and replication strategies for distributed databases.
Browse courses on
Data Distribution
Show steps
-
Solve problems related to data sharding and partitioning.
-
Analyze scenarios involving data replication and consistency.
Distributed Query Optimization Exercises
Show steps
Enhance your understanding of query optimization techniques specifically for distributed databases.
Browse courses on
Query Optimization
Show steps
-
Solve practice problems on distributed query optimization.
-
Analyze query plans and identify potential bottlenecks.
Join a Study Group for Distributed Database Systems
Show steps
Engage with peers and discuss concepts, assignments, and challenges related to the course material.
Show steps
-
Find or create a study group with other students taking the course.
-
Meet regularly to discuss the material and solve problems together.
Write a Blog Post on Distributed Database Architectures
Show steps
Solidify your knowledge of distributed database architectures by explaining them to others.
Show steps
-
Research different types of distributed database architectures.
-
Identify the pros and cons of each architecture.
-
Write a blog post comparing and contrasting the different architectures.
Review Parallel Computing Concepts
Show steps
Ensure you have a foundational understanding of parallel computing before delving into distributed databases.
Browse courses on
Parallel Computing
Show steps
Show steps
Show steps
- Review your notes or textbook chapters on parallel computing.
Review Database Fundamentals
Show steps
Ensure you have a firm grasp of the underlying concepts of databases before starting this course.
Browse courses on
Database Theory
Show steps
Show steps
Show steps
- Review your notes or textbook chapters on database theory.
- Practice writing SQL queries to retrieve and manipulate data.
Design a Database Schema
Show steps
Create a database schema for a real-world scenario to apply the principles of data modeling.
Browse courses on
Database Schemas
Show steps
Show steps
Show steps
- Identify the entities and relationships in your scenario.
- Draw an Entity-Relationship Diagram (ERD).
- Normalize the ERD to eliminate data redundancy and improve performance.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow Tutorials on Concurrency Control
Show steps
Supplement your understanding of concurrency control mechanisms in distributed databases.
Browse courses on
Concurrency Control
Show steps
Show steps
Show steps
- Find online tutorials or video lectures on concurrency control in distributed systems.
- Follow the tutorials and take notes on the key concepts.
Practice Problems on Data Distribution and Replication
Show steps
Strengthen your understanding of data distribution and replication strategies for distributed databases.
Browse courses on
Data Distribution
Show steps
Show steps
Show steps
- Solve problems related to data sharding and partitioning.
- Analyze scenarios involving data replication and consistency.
Distributed Query Optimization Exercises
Show steps
Enhance your understanding of query optimization techniques specifically for distributed databases.
Browse courses on
Query Optimization
Show steps
Show steps
Show steps
- Solve practice problems on distributed query optimization.
- Analyze query plans and identify potential bottlenecks.
Join a Study Group for Distributed Database Systems
Show steps
Engage with peers and discuss concepts, assignments, and challenges related to the course material.
Show steps
Show steps
Show steps
- Find or create a study group with other students taking the course.
- Meet regularly to discuss the material and solve problems together.
Write a Blog Post on Distributed Database Architectures
Show steps
Solidify your knowledge of distributed database architectures by explaining them to others.
Show steps
Show steps
Show steps
- Research different types of distributed database architectures.
- Identify the pros and cons of each architecture.
- Write a blog post comparing and contrasting the different architectures.
Career center
Learners who complete Distributed Database Systems will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists build, evaluate, and deploy mathematical and statistical models via scientific methods to extract useful information and insights from data for various domains such as finance, hospitality, and healthcare. Taking a Distributed Database Systems course can help aspiring Data Scientists harness the power of distributed data storage and processing for large-scale data analysis and modeling. This will enable them to work with diverse datasets effectively and efficiently, leading to more accurate and insightful data-driven decision-making.
Database Architect
Database Architect
Database Architects design, develop, and maintain database management systems to ensure optimal data storage, retrieval, and security. The Distributed Database Systems course can provide aspiring Database Architects with the knowledge and skills to design and implement distributed database architectures, ensuring efficient data distribution and access across multiple physical locations. This course will also help them understand distributed data storage and indexing techniques, enabling them to build scalable and performant database systems.
Data Analyst
Data Analyst
Data Analysts gather, clean, and interpret data to identify trends, patterns, and insights that inform decision-making. By taking a Distributed Database Systems course, aspiring Data Analysts can gain proficiency in working with distributed data sources, enabling them to analyze and extract insights from large-scale datasets. This will enhance their ability to derive meaningful information, make informed recommendations, and contribute to data-driven decision-making.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines to ensure reliable and efficient data movement and transformation. The Distributed Database Systems course can provide aspiring Data Engineers with the knowledge and skills to handle large-scale data processing and management. They will gain an understanding of distributed data storage and indexing techniques, enabling them to build scalable and performant data processing systems.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. The Distributed Database Systems course can help aspiring Software Engineers build a strong foundation in distributed systems concepts, enabling them to design and implement scalable and reliable software solutions. This course will also provide them with an understanding of distributed data storage and indexing techniques, which are essential for building data-intensive applications.
Cloud Engineer
Cloud Engineer
Cloud Engineers design, build, and maintain cloud computing systems. The Distributed Database Systems course can provide aspiring Cloud Engineers with the knowledge and skills to design and implement distributed database systems on cloud platforms. They will gain an understanding of distributed data storage and indexing techniques, enabling them to build scalable and performant cloud-based database solutions.
Systems Analyst
Systems Analyst
Systems Analysts analyze and design computer systems to meet the needs of an organization. The Distributed Database Systems course can help aspiring Systems Analysts understand the concepts and principles of distributed database systems. This will enable them to design and implement database solutions that are scalable, reliable, and meet the performance requirements of an organization.
Database Administrator
Database Administrator
Database Administrators manage and maintain database systems to ensure optimal performance and availability. The Distributed Database Systems course can provide aspiring Database Administrators with the knowledge and skills to manage distributed database systems. They will gain an understanding of distributed data storage and indexing techniques, enabling them to ensure the efficient and reliable operation of database systems.
Technical Architect
Technical Architect
Technical Architects design and develop the overall architecture of software systems. The Distributed Database Systems course may be useful for aspiring Technical Architects as it provides a foundation in distributed systems concepts. This knowledge can help them design scalable and reliable software architectures that can handle large-scale data processing and storage.
IT Consultant
IT Consultant
IT Consultants provide advice and guidance to organizations on the use of information technology. The Distributed Database Systems course may be useful for aspiring IT Consultants as it provides a foundation in distributed systems concepts. This knowledge can help them understand the challenges and opportunities of implementing distributed database systems in an organizational setting.
Information Technology Manager
Information Technology Manager
Information Technology Managers plan, implement, and manage information technology systems within an organization. The Distributed Database Systems course may be useful for aspiring Information Technology Managers as it provides a foundation in distributed systems concepts. This knowledge can help them understand the challenges and opportunities of implementing distributed database systems in an organizational setting.
Software Developer
Software Developer
Software Developers design, develop, and maintain software applications. The Distributed Database Systems course may be useful for aspiring Software Developers as it provides a foundation in distributed systems concepts. This knowledge can help them understand the challenges and opportunities of developing software applications that can handle large-scale data processing and storage.
Systems Engineer
Systems Engineer
Systems Engineers design, develop, and maintain computer systems. The Distributed Database Systems course may be useful for aspiring Systems Engineers as it provides a foundation in distributed systems concepts. This knowledge can help them understand the challenges and opportunities of implementing distributed database systems in an organizational setting.
Network Administrator
Network Administrator
Network Administrators manage and maintain computer networks. The Distributed Database Systems course may be useful for aspiring Network Administrators as it provides a foundation in distributed systems concepts. This knowledge can help them understand the challenges and opportunities of implementing distributed database systems in an organizational setting.
Computer Programmer
Computer Programmer
Computer Programmers write and maintain computer programs. The Distributed Database Systems course may be useful for aspiring Computer Programmers as it provides a foundation in distributed systems concepts. This knowledge can help them understand the challenges and opportunities of developing software applications that can handle large-scale data processing and storage.
For more career information including salaries, visit:
OpenCourser.com/course/e34577/distributed
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Distributed Database Systems.
Provides an advanced treatment of database systems, covering topics such as object-oriented databases, temporal databases, and spatial databases. It offers in-depth insights into emerging database technologies and trends.
Save
Focuses on optimizing SQL queries for large datasets and advanced scenarios. It covers techniques for query optimization, data partitioning, and database scaling.
Provides a broad perspective on designing data-intensive applications, including techniques for handling large datasets, distributed systems, and data analytics. It valuable resource for understanding the challenges and best practices in designing and developing modern data-intensive applications.
Provides a comprehensive guide to SQL injection attacks and defenses. It covers topics such as SQL injection techniques, prevention mechanisms, and detection tools. It valuable resource for anyone concerned with database security.
Save
Provides a practical and in-depth look at the inner workings of databases, including data structures, indexing techniques, and query processing. It offers valuable insights into the implementation details of database systems.
Provides a comprehensive overview of modern database management systems, covering topics such as database design, query processing, and data warehousing. It offers a practical and up-to-date treatment of the field.
Provides a solid foundation in database systems concepts and is frequently used as a textbook for introductory database courses. It covers a wide range of topics, including data models, database design, query processing, and concurrency control.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/e34577/distributed
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Via
Coursera
Institution
Arizona State University
Instructor
Mohamed Sarwat
This course belongs to a
collection
called
Data Systems. It's comprised of five courses:
- NoSQL Database Systems
- Distributed Database Systems (viewing)
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- Big Data Tools
Good to know
Teaches topics that are standard in industry
Covers distributed database architectures, distributed data storage and indexing, distributed and parallel query processing/optimization, and concurrency control
Develops skills core to database management
Useful for learners with an interest in exploring advanced database management concepts
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