BIG DATA PROCESSING (2/2 Credits)
Learning Outcomes:
On successful completion of this course, student will be able to:
- Define big data processing concepts
- Explain big data architecture layers
- Demonstrate big data analytics and visualizations
- Differentiate big data case studies
Topics:
- Introduction to Big Data
- Big Data Architecture
- Ingestion Layer
- Hadoop Infrastructure Layer
- Hadoop Storage Layer
- Hadoop Storage Layer
- Hadoop Platform Management
- Hadoop Platform Management
- Big Data Analytics
- Big Data Analytics (Apache Spark & SparkML)
- Big Data Visualization
- Big Data Case Study
- Project Presentation
- Introduction to Big Data
- Hadoop Platform Management
- Big Data Management System I
- Big Data Management System II
- Quiz
- Introduction to Spark
- Spark SQL
- Spark Streaming
- Data Exploration and Classification
- Clustering & Model Evaluation
- Data Visualization
- Final Exam
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