MCS710 Advanced Data Systems
Categories: Doctorate of Computer Science
About Course
- This core course covers the architecture, design, and management of advanced data systems, including large-scale distributed databases, data warehousing, and the integration of machine learning techniques in data processing and analysis.
- Students will explore the latest technologies and methodologies for managing complex data environments, focusing on scalability, performance, and the integration of advanced analytics in data systems.
What Will You Learn?
- Demonstrate proficiency in designing and managing advanced data systems, including distributed databases and data warehouses.
- Apply machine learning techniques to enhance data processing and analytical capabilities.
- Analyze and optimize the performance of data systems, ensuring scalability and reliability.
- Critically evaluate recent research and propose innovative solutions in the field of data systems.
- Present comprehensive strategies for integrating advanced analytics into data environments.
Course Content
Week 1: Introduction to Advanced Data Systems
-
Introduction to Advanced Data Systems
02:14 -
LO1: Explain the Overview of Advanced Data Systems concepts and structures
10:21 -
LO2: Interpret the Key Concepts of advanced data systems and their roles
10:20 -
LO3: Summarize the Emerging Trends shaping modern data systems
12:25 -
Multiple Choice Questions
-
True / False
-
Scenario-Based Multiple Choice Questions
-
Key Terms & Concepts
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-Playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 2: Architecture of Distributed Databases
-
Architecture of Distributed Databases
00:00 -
LO1: Describe the Design Principles of Distributed Databases in system architecture
00:00 -
LO2: Examine the CAP Theorem and its implications in distributed systems
00:00 -
LO3: Differentiate the Consistency Models used in distributed databases
00:00 -
Multiple Choice Questions
-
True or False
-
Scenario Based Multiple Choice Questions
-
Key Terms and Concepts
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-Playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 3: Data Warehousing Concepts
-
Data Warehousing Concepts
00:00 -
LO1: Demonstrate the Introduction to Data Warehousing concepts and architecture
00:00 -
LO2: Illustrate the ETL Processes involved in data integration workflows
00:00 -
LO3: Define the OLAP Systems for multidimensional data analysis
00:00 -
Multiple Choice Questions
-
True or False
-
Scenario Based Multiple Choice Questions
-
Key Terms and Concepts
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-Playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 4: Large-Scale Data Storage and Management
-
Large-Scale Data Storage and Management
00:00 -
LO1: Discuss the Techniques for Managing Large-Scale Data Storage systems
00:00 -
LO2: Explain the Large-Scale Data Storage management challenges and solutions
00:00 -
LO3: Distinguish the NoSQL Databases and their applications in modern systems
00:00 -
Multiple Choice Questions
-
True or False
-
Scenario Based Multiple Choice Question
-
Key Concepts and terms
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-Playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 5: Query Processing and Optimization
-
Query Processing and Optimization
00:00 -
LO1: Demonstrate the Advanced Query Processing Techniques in database systems
00:00 -
LO2: Classify the Indexing Methods used to improve query performance
00:00 -
LO3: Assess the Optimization Strategies for efficient query execution
00:00 -
Multiple Choice Questions
-
True or False
-
Scenario Based Multiple Choice Questions
-
Key Concepts and Terms
-
Short Answers Questions
-
Written Assignment
-
Presentation Task
-
Role-Playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 6: Machine Learning Integration in Data Systems
-
Machine Learning Integration in Data Systems
00:00 -
LO1: Explain the Integrating Machine Learning Algorithms into data systems
00:00 -
LO2: Apply the Machine Learning Algorithms used in data processing workflows
00:00 -
LO3: Examine down the Data Processing Workflows enhanced by machine learning
00:00 -
Multiple Choice Questions
-
True or False
-
Scenario Based Multiple Choice Questions
-
Key Terms and Concepts
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-Playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 7: Data Systems for Big Data Analytics
-
Data Systems for Big Data Analytics
00:00 -
LO1: Discuss the Architectures for Big Data Analytics in distributed environments
00:00 -
LO2: Demonstrate the Hadoop framework for large-scale data processing
00:00 -
LO3: Examine the Spark framework for real-time big data analytics
00:00 -
Multiple Choice Question
-
True or False
-
Scenario Based Multiple Choice Questions
-
Key Terms and Concepts
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-Playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 8 : Midterm Test or Assignment
-
Midterm Test or Assignment
00:00 -
Multiple Choice Questions
-
True or False
-
Scenario-Based Multiple Choice Questions
-
Short Answer Questions
Week 9: Data Consistency and Replication
-
Data Consistency and Replication
00:00 -
LO1: Describe the Techniques for Ensuring Data Consistency in distributed systems
00:00 -
LO2: Define the Data Consistency challenges in distributed environments
00:00 -
LO3: Understand the Replication Methods used for data reliability
00:00 -
Multiple Choice Questions
-
True or False
-
Scenario Based Multiple Choice Question
-
Key Terms and Concepts
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-Playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 10: Scalability and Performance in Data Systems
-
Scalability and Performance in Data Systems
00:00 -
LO1: Explain the Strategies for Scaling Data Systems effectively
00:00 -
LO2: Examine the Load Balancing techniques in distributed systems
00:00 -
LO3: Appraise the Performance Tuning methods for optimized systems
00:00 -
Multiple Choice Questions
-
True Or False
-
Scenario Based Multiple Choice Questions
-
Key Terms and Concepts
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-Playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 11: Data Security and Privacy
-
Data Security and Privacy
00:00 -
LO1: Discuss the Addressing Security Challenges in data systems
00:00 -
LO2: Analyze the Security Challenges in advanced data environments
00:00 -
LO3: Evaluate the Privacy Challenges and protection mechanisms
00:00 -
Multiple choice questions
-
True or False
-
Scenario Based Multiple Choice Questions
-
Key terms and concepts
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-Playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 12: Real-Time Data Processing
-
Real-Time Data Processing
00:00 -
LO1: Demonstrate the Architectures for Real-Time Data Processing systems
00:00 -
LO2: Illustrate the Stream Processing techniques for continuous data flow
00:00 -
LO3: Examine the Event-Driven Systems in real-time applications
00:00 -
Multiple choice Questions
-
True or False
-
Scenario Based Questions
-
Key Terms and Concepts
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-Playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 13: Cloud-Based Data Systems
-
Cloud-Based Data Systems
00:00 -
LO1: Explain the Managing Data Systems in Cloud Environments
00:00 -
LO2: Describe the Cloud Databases and their deployment models
00:00 -
LO3: Define the Storage Services used in cloud-based systems
00:00 -
Multiple Choice Questions
-
True or False
-
Scenario Based Multiple Choice Questions
-
Key Terms and Concepts
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-Playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 14: Future Trends in Data Systems
-
Future Trends in Data Systems
00:00 -
LO1: Summarize the Exploring Future Trends in data systems
00:00 -
LO2: Examine the Innovations in Data Systems shaping future technologies
00:00 -
LO3: Appraise the AI-Driven Automation in modern data environments
00:00 -
Multiple Choice Questions
-
True or False
-
Scenario Based Multiple Choice Questions
-
Key Terms and Concepts
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-Playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 15: Course Review
-
Course Review
00:00 -
LO1: Summarize the Comprehensive Review of course concepts and frameworks
00:00 -
LO2: Examine the Course Content for integrated understanding
00:00 -
LO3: Evaluate the Preparation for Final Project using learned concepts
00:00 -
Multiple Choice Questions
-
True or False
-
Scenario Based Multiple Choice Questions
-
Key Terms and Concepts
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-Playing Activity
-
Peer Review Task
-
Capstone Exercise
Week 16: Final Test or Project
-
Final Test or Project
00:00 -
Multiple Choice Questions
-
True or False
-
Scenario-Based Multiple Choice Questions
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-Playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
