For case 1, you can create 3 notebooks and 3 jobs in databricks. Then you
can run them in parallel
On Wed, 22 Jan 2020 at 3:50 am, anbutech wrote:
> Hi sir,
>
> Could you please help me on the below two cases in the databricks pyspark
> data processing terabytes of json data read from aws s3 buc
Hi sir,
Could you please help me on the below two cases in the databricks pyspark
data processing terabytes of json data read from aws s3 bucket.
case 1:
currently I'm reading multiple tables sequentially to get the day count
from each table
for ex: table_list.csv having one column with multip
