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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Vocational School of Information Technologies
  2. Department of Statistics
  3. Program in Big Data Analyst
  4. Course Structure Diagram with Credits
  5. Big Data Technologies
  6. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 01/10/2025

Code - Course Title Compulsory/Elective Laboratory + Practice ECTS
BVA108 - Big Data Technologies II. SEMESTER 2 +3 5.0
Language of Instruction Türkçe
Course Type Required Courses
Course Instructor(s) ÖĞR. GÖR. GÜVENÇ USANMAZ
Mode of Delivery Face to face
Place of Delivery
Used Educational Platforms
Prerequisites Basic Mathematical Knowledge
Courses Recomended Basic Mathematical Knowledge
Recommended Resources Faculty Recommendation
Work Placement N/A
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Advanced Distributed Systems
Week - 2 Advanced Data Modeling
Week - 3 Advanced Data Processing Frameworks
Week - 4 Scalable Data Storage Solutions
Week - 5 Real-Time Data Streaming
Week - 6 Advanced Data Analysis Techniques
Week - 7 Big Data Infrastructure Management
Week - 8 Advanced Data Visualization and Exploration
Week - 9 Big Data Security and Privacy
Week - 10 Cloud-Based Big Data Solutions
Week - 11 Advanced Data Integration and ETL Processes
Week - 12 Big Data Governance and Compliance
Week - 13 Optimization and Performance Tuning
Week - 14 Advanced Analytics Applications

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%)

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