Algorithms and Systems for Big Data Processing
General information
| Course | Algorithms and Systems for Big Data Processing | Credits | 6 |
|---|---|
| Professor | RICCARDO ROVATTI |
Brief content description
Objectives 1. Give an understanding of big data workloads: characteristics, requirements 2. Provide an overview of data center architecture and how it relates to big data workloads 3. Describe the main high-performance hardware architectures: parallel processing engines and their memory hierarchy 4. Provide mathematical tools for analyzing performance and scaling properties of big data systems
Degree programme
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