Systematic data acquisition and subsequent data analysis in the context of industrial and home automation systems in connection with the integration of intelligent control, monitoring, predictive maintenance, and process optimization plays a key role in modern solutions deployed in practice. The Modbus protocol, as one of the most widely used communication standards in the field of control systems and energy, where a bus system is used, can pose challenges for optimal, secure, and stable data acquisition from sensors, electricity meters, control units, and other devices under certain conditions. The stability and speed of individual devices when processing in cloud systems is required is potentially difficult and expensive to ensure normal operation. The increasing volumes of generated real-time data, as well as the requirements for its storage, processing, and further use in a Big Data environment, lead to the need to design effective architectures for data collection, transport, and integration into analytical platforms. The proposal analyses the importance of adaptive and scalable data collection from Modbus devices in heterogeneous environments and identifies technological challenges related to data transfer and transformation, as well as issues related to security, reliability and format standardization. The proposed procedure for data collection and integration of Modbus data into data streams compatible with modern Big Data ecosystems creates the conditions for effective analysis and use of the information obtained in automated and intelligent systems.