The big-load anti-pattern
I didn&#x27;t find the solutions to be all that helpful; it was essentially &quot;pipeline your processing.&quot; If all I&#x27;m doing is a programmatic &quot;cat | grep | cut&quot;, that&#x27;s fine. It gets messy when I want to sort the data or join it with another medium-large dataset, and this is why people load into memory in the first place. Is there a sane path where I&#x27;m not immediately jumping to Hadoop or Presto? Maybe I can offload the join to SQLite?