Big Data Architecture
FACE-TO-FACEThe course starts with basic concepts and components of big data systems. Requirements for big data systems are motivated by the CAP theorem and the lambda architecture. The map-reduce paradigm is used to illustrate batch-processing. Stream processing is explained using Storm. Spark is presented for both processing modes.
| Offered by: Fraunhofer | Level: Advanced |
| Location: Germany | Type: Paid |
| Language: German | License: N/A |
| Sector: Non-specific | |
| Gained skills: big data technologies; big data architectures | Target audience: software engineers; software architects |
| Required skills: computer science; database; scripting language |