I've used the Cloudant schema discovery process (SDP) to create and populate a table in dashDB. The data in Cloudant is time series in nature:
...
{ "date": "20150101T00:00:00", "type": "temperature", "reading": "21" }
{ "date": "20150101T00:00:00", "type": "windspeed", "reading": "15" }
{ "date": "20150101T00:00:10", "type": "airhumidity", "reading": "51" }
{ "date": "20150101T00:00:10", "type": "temperature", "reading": "22" }
...
When this data is pushed into dashDB, it maintains a similar structure, i.e.
DATE | TYPE | READING
------------------+---------------+---------
20150101T00:00:00 | temperature | 21
20150101T00:00:00 | windspeed | 15
20150101T00:00:10 | airhumidity | 51
20150101T00:00:10 | temperature | 22
However, I would like this data to be in a 'flatter' structure, i.e.
DATE | TEMPERATURE | WINDSPEED | AIRHUMIDITY
------------------+---------------+--------------+-------------
20150101T00:00:00 | 21 | 15 | -
20150101T00:00:10 | 22 | - | 51
How can I flatten the SDP populated data?
One option is to create a Bluemix service that runs SQL code on a cron timer to move the data around into your desired structure.
See here for an example project using spring boot and groovy.