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This work introduces the Satellite Data Downloading System (SDDS) developed at SINP MSU in 2016. SDDS is a fully automatic, flexible, and scalable data warehouse system that accumu- lates data from Russian and foreign space crafts, and also ground stations in near real-time. SDDS monitors all its components and visualizes their activities in real-time. If an error oc- curs, the monitoring system will immediately deliver the error description to satellite operators using the Telegram messenger service. For data acquisition, SDDS provides a user-friendly web interface, a Python library, and a REST API. Using the built-in Python library, one can easily compose data from available in SDDS space experiments into a dataset (NumPy arrays, Pandas data frames) and use it in different machine learning models. The web interface provides the possibility to retrieve data and save them to a local computer in text format. It also supports creating customizable plots on the fly with retrieved data and saving the results as images.