CSE 511 Data Processing at Scale

Database systems are used to provide convenient access to disk-resident data through efficient query processing, indexing structures, concurrency control, and recovery. This course delves into new frameworks for processing and generating large-scale datasets with parallel and distributed algorithms, covering the design, deployment and use of state-of-the-art data processing systems, which provide scalable access to data

Specific topics covered include:

• Efficient query processing
• Indexing structures
• Distributed database design
• Parallel query execution
• Concurrency control in distributed parallel database systems
• Data management in cloud computing environments
• Data management in Map/Reduce-based
• NoSQL database systems