I'm building a cdc pipeline to read mysql binlog through maxwell and putting them into kafka my compression type is snappy in maxwell config.But at consumer end
I have input file in s3 bucket with .json.snappy compression and I am trying to read through athena table. I tried using different serde 'org.apache.hive.hcatal
Is it possible to use Pandas' DataFrame.to_parquet functionality to split writing into multiple files of some approximate desired size? I have a very large Data