Values of a Dask Dataframe
Because Dask is suited for large datasets, performing compute on the full data source does not make sense.
I think you should generate your json file by iterating on partitions.
df.npartitions gives you the number of partitions.
You can get a specific partition (for example n) with df.get_partition(n).
Is there a way to get values of a dask dataframe without using compute function as pandas? 

Pandas: df.values
Dask using compute function: ddf.compute().values

Dask using compute function is slow and I have to transform the dask dataframe to json format and to do that I should get the values.