Data Intensive Computing ID1221

Course Description

This course describes the critical technology trends enabling cloud computing and the services and applications they offer. The course covers various advanced topics in data-intensive computing, including:

• Distributed file systems, e.g., HDFS
• No SQL databases, e.g., BigTable, Cassandra, Neo4j
• Big Data execution engines, e.g., Map-Reduce, Spark, Spark SQL
• Scalable messaging systems, e.g., Kafka
• Stream processing, e.g., Spark Streaming
• Graph processing, e.g., GraphLab, GraphX
• Resource management, e.g., Mesos, YARN, Borg
• Data lake, e.g., Delta Lake, Lakehouse

Course Outcome

After passing the course, students should be able to (according to Bloom's taxonomy):

• ILO1: Understand the main concepts of data-intensive computation platforms.
• ILO2: Apply the grabbed knowledge to store and process massive data.
• ILO3: Analyze the technical merits of data-intensive computation platforms.