Big Data Architecture

The 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: FraunhoferLevel: Advanced
Location: GermanyType: Paid
Language: GermanLicense: N/A
Sector: Non-specific
Gained skills: big data technologies; big data architecturesTarget audience: software engineers; software architects
Required skills: computer science; database; scripting language

Weekly outline