EDSA has launched a new course on Big Data Analytics. The course has been produced by Fraunhofer and provides an overview of approaches facilitating data analytics on huge datasets. Different strategies are presented including sampling to make classical analytics tools amenable for big datasets, analytics tools that can be applied in the batch or the speed layer of a lambda architecture, stream analytics, and commercial attempts to make big data manageable in massively distributed or in-memory databases. Learners will be able to realistically assess the application of big data analytics technologies for different usage scenarios and start with their own experiments.
The course is available as a self-study unit in the EDSA online courses portal, as well as in the form of an eBook for the iPad and other devices.