(3) throw the metadata along with the mean (mean) and standard deviation(std) of the time series into a relational database. Thus the main table in this database has 5 columns: the id being the primary keys, and 4 others: mean, std, blarg, and level. You can get things working locally and test with sqlite, but for production you want to use postgres on your EC2 instance.
Metadata has been created and tested in a local sqlite database.
Timeseries are accessed through Storage Manager.
Sqlite database has been converted to Postgres database and the script was run on the EC2 instance.
(3) throw the metadata along with the mean (mean) and standard deviation(std) of the time series into a relational database. Thus the main table in this database has 5 columns: the id being the primary keys, and 4 others: mean, std, blarg, and level. You can get things working locally and test with sqlite, but for production you want to use postgres on your EC2 instance.