To meet the client’s needs, we created an SDK that allows loading data as CSV and other types of files from sources like AWS bucket, FTP server, MySQL, mSQL, etc., process them, and upload them to the same or another database. All data is processed using Python but the system also supports processing data with the R programming language. The platform’s architecture is microservice-based to ensure data safety and fast data processing. The system optimizes the work of the entire analytical team because analytical specialists require only superficial knowledge of programming on Python or R to load, process, and save statistical data. With our solution, analysts can perform the mentioned actions towards different databases by writing only three lines of code.
According to Statista, the global Big Data and business analytics market is forecast to grow to $274.3B by 2022, with a five-year CAGR of 13.2%. Become a business giant with Big Data and BI!