Spark Parallelism using JDBC similar to Sqoop 

Very well explained.

Clear and Awesome

Using row number messes up the data for some reason.You will always get the correct count. But If you do group by on random columns and take a count ,you will see a difference in count for each group. Although the sum of all group will be rqual to count .But each groups count will.vary

nicely explained

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very practical tutorial other channels just give theory of spark

Good example and nice explanation!...Just wondering why would you assign 4G for driver memory.

Great Video!! Whats is the comand "cache" for??

why are you not making courses on udemy related to basic and advanced spark

Can we achieve similar performance in Spark for DB writes also basically an upsert query on an already existing huge postgres table?