Time dimension is fundamental in many different contexts, from statistical analysis to representation of cause-effect relationships, from forecasting to automatic control systems.

Representing this kind of data in "traditional" databases can lead to performance problems, due to their quantity, frequency and domain model; this is why NoSQL solutions are widely used in this field.

In this talk we will show how to use OrientDB, a Document-Graph Database, to store, process and query this type of information in an efficient and effective way.