ETL with PostgreSQL
Introduction
A startup called Sparkify wants to analyze the data they've been collecting on songs and user activity on their new music streaming app. They'd like a data engineer to create a Postgres database with tables designed to optimize queries o...
flynn.hashnode.dev6 min read
Sơn Lưu Hoàng
Good articles, easy for starters. I think u should add some retry or using an ORM for rollback in exception. Additionally, if u are using pandas that way, it is good performance when u are trying to using the
df.to_sqlfunction instead looping through out rows.