Motivation: How does data become a valuable asset?
Industrial companies are collecting huge amounts of data from sensors. Raw data is not very beneficial unless it is turned into knowledge. To achieve that, data needs to be acquired, transferred, and analyzed in efficient ways to improve products and processes and to reduce costs and materials. Big Data technologies are needed to do that in a fast, scalable, replicated and fault-tolerant manner.
Objective: A practical introduction to directly benefit in your own production.
Practical Introduction to Big Data technologies in industrial automation: Industrial data from devices to visualization with industrial use cases learning through application. The content is directly implemented and consolidated through practical exercises.