I'm loocking by best practices for architecture and naming hdfs file path names for naming taxonomy considering the user are analytical users who implement data preparation and data modeling process? I appreciate to share tips to desing a service on HDFS with overwrite strategy enough to get easy and friendly data model for train analytical and statistical models process in an modeling as a service. For instance to get files with +3000 columns and storage more than 48 months of history. any tip to manage huge volumen of data.
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