Keeping operations on track Case Study How the scalability of Control-M enables Railinc to better meet customer needs. Every day, as trains traverse North America’s 140,000-mile railroad network, they pass intelligent sensors that collect data on railcar movements and health. As the hub for the rail industry’s IT and data services, Railinc receives more than 11 million pieces of data every day—supporting railroads and their customers with essential information to improve safety and optimize operations. FROM COMPLEXITY As part of its big data initiative, Railinc has implemented Hadoop for storing, processing, and analyzing data captured from disparate devices and databases, and then transforms raw data into business intelligence that helps railroads handle operations. T o bette

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