I am currently working on series trying to use indexing strategies which could help me in giving faster output if queried between certain time stamp[start_Date,end_Date].

The data is a time series geo-spatial data of sensors ,consisting of input such as start and stop of various sensors which can be used for /monitoring the functioning of the vehicle with the data of where the sensor actually started and stopped.The data is huge and my objective is towards efficient time series search and retrieval.

I am interested in Reddit’s opinion on this; what could be the most promising indexing method,I have read about various strategies such as Dynamic Time Warping(DTW) ,Time series tree,but could not understand/visualise how to make use it .

Any form of help/explanation is appreciated!

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