TOREADOR Labs1 offer a Big Data Analytics-as-a-Service environment for testing simplified but real-life Big Data analytics vertical scenarios. Users are challenged with requirements, described from a business perspective, and are requested to compare alternative options, investigating the consequences of their choices. This “trial and error” approach brings up the interconnections and interferences of the different design stages typically addressed in preparing a Big Data campaign.
3. TOREADOR LABS The model driven approach adopted by TOREADOR supports the creation of a virtual environment particularly suited for training Big Data professionals using a “trial and error” approach. This environment supports users in understanding the interrelations and interferences of the different design options available when preparing a BDA.
In this context, the TOREADOR Labs provide a free-limited access to TOREADOR using a Platform-as-a-Service solution. It proposes a simplified version of real-life vertical scenarios and success stories organised in a set of challenges, where the trainees are requested to identify alternative options, and investigate the consequences of their choices. Note that this kind of experience is usually not available in the professional Big Data platforms today in the market, where the architectural and data complexity make it difficult to compare different runs of a composite BDA.