We are also finding that the ODC, when used in combination with Jupyter notebooks, is very useful for data science applications. There are also a number of projects that sit on top of the ODC to add further capabilities, such as a WMS server, a Django-based user interface and a holdings and provenance dashboard. What this means is that you can point it at your data repository and index the data where it sits, abstracting the complexity of managing large, distributed data holdings. The broad goal of the ODC is to make it easier to manage large data holdings, without requiring data to be stored in a specific way or in a specific place.
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The index enables a user to ask for data at a time and location, without needing to know specifically where the required files are stored and how to access them.