Working with large volumes of data is a lot like developing software. Both require a good understanding of what end-users need, knowledge of how to implement solutions, and agile practices to iterate and improve the results. Software development and data practices both require technology platforms, coding practices, devops methodologies, and nimble infrastructure to be instituted and ready to meet business needs.
Data scientists, dataops engineers, and data engineers have many similar technologies and practices compared to software developers, and yet, there are many differences.
