In an Industry 4.0 (I4.0) context there is significant increase in information exchange and storage through the interaction among assets (machines, systems, and people). These data are important because it can lead to the autonomy of assets in decision making. However, the entire organization of I4.0 assets in terms of the quantity and the quality of information to be managed makes the system very complex. Thus, a systematic is needed to deal with this complexity where reference architectures can be used to identify the functionality required to handle this large amount and diversity of data, and how they can be organized. Therefore, the aim here is the specification of a big data acquisition process for its implementation within I4.0 context to ensure quality data for analysis and decision making. The proposed solution is based on reference architectures NBDRA and RAMI 4.0.

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