This is a question about proper ways to save and retrieve
I am processing data from two separate sources and compile around 150
TimeSeries from each source; both sources contain information about the same system but they differ in coverage and accuracy; each
TimeSeries is endowed with relevant
MetaInformation that I want preserved.
The assembly of the
TimeSeries takes some time and I want to save them for later use.
The solution I used was to bundle them on a dataset and dump them on a
MX file. The file is around 22Mb. The exact layout of the
Dataset[ Association[ "id_str"->Association[ "col_1"->TimeSeries, "col_2"->TimeSeries ] ], ... ]
Is there a better way to store
TimeSeries in terms of storage space and loading times? Is the "MX" suitable for such purposes? Can anyone present an alternative method, other than exporting the processed data to a .csv or an .xlsx and recreating the
TimeSeries from scratch (importing the data along with the metadata and using
TimeSeries) when needed?