Parquet and ORC's many shortfalls for machine learning, and what to do about it?
(starburst.io)
At the turn of the century (around a quarter of a decade ago), over 99% of the data management industry used row-oriented storage to store data for all workloads involving structured data — including transactional and analytical workloads.
At the turn of the century (around a quarter of a decade ago), over 99% of the data management industry used row-oriented storage to store data for all workloads involving structured data — including transactional and analytical workloads.