I've using streamline pulsar connector, each dataset receives the data
properly but cannot make join to be working
Dataset datasetPolicyWithWtm =
datasetPolicy.withWatermark("__publishTime", "5 minutes").as("pol");
Dataset datasetPhoneWithWtm =
datasetPhone.withWatermark("__publishTime", "5
1. I need to import csv files with a entity resolution logic, spark could
help me to process rows in parallel
Do you think is a good approach ?
2. I've quite complex database structure and eager to use i.e. hibernate to
resolve and save the data but it seems like everybody uses plain jdbc
is this
