Geocoding is often the first step to adding context and meaning to big data - once you do that you can understand movement, relationships and also augment your big data with geo-based data (geoenrichment). But processing millions or billions of records is time and resource intensive outside a big data framework. Firms are demanding purpose-built solutions and creating data lakes to improve efficiency and reusability, rather than doing it in purpose built applications.
The link below further unpacks this idea.
https://www.pitneybowes.com/us/location-intelligence/case-studies/when-is-geocoding-a-big-data-problem.html
How is your organization leveraging location intelligence and big data together to develop new insights? What problems are you trying to solve and how?