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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. Faculty of Computer and Information Sciences
  2. Department of Data Science and Analytics (English)
  3. Course Structure Diagram with Credits
  4. Big Data Ecosystems
  5. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 22/07/2026

Code - Course Title Course Type Laboratory + Practice ECTS
VBA304 - Big Data Ecosystems VI. SEMESTER 3 +0 5.0
Language of Instruction İngilizce
Course Type Required Courses
Course Instructor(s) ARAŞ. GÖR. DR. ÖNDER DORAK
Mode of Delivery Face to face
Place of Delivery
Used Educational Platforms
Prerequisites
Courses Recomended
Recommended Resources
Work Placement
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Distributed Computing: Hadoop architecture
Week - 2 Navigating the Hadoop Distributed File System (HDFS)
Week - 3 Programming MapReduce paradigms
Week - 4 Stream Processing: Apache Spark ecosystem
Week - 5 RDDs and DataFrames
Week - 6 Real-time data ingestion with Apache Kafka
Week - 7 Cloud Data Warehouses architectures
Week - 8 Managing cloud resource provisioning
Week - 9 Designing schemas for massive data stores
Week - 10 Utilizing Snowflake or BigQuery
Week - 11 Big Data Analytics: Running complex queries on clusters
Week - 12 Optimizing data pipelines for speed
Week - 13 Managing big data security
Week - 14 Big data governance frameworks

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

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