Hi, We are planning to move our adhoc queries from teradata to spark. We have huge volume of queries during the day. What is best way to go about it -
1) Read data directly from teradata db using spark jdbc 2) Import data using sqoop by EOD jobs into hive tables stored as parquet and then run queries on hive tables using spark sql or spark hive context. any other ways through which we can do it in a better/efficiently? Please guide. Regards, Tapan
