25

Hi, I want to know what is the best way to keep the databases I use in different projects? I use a lot of CSVs that I need to prepare every time I'm working with them (I just copy paste the code from other projects) but would like to make some module that I can import and it have all the processes of the databases for example for this database I usually do columns = [(configuration of, my columns)], names = [names], dates = [list of columns dates], dtypes ={column: type},

then database_1 = pd.read_fwf(**kwargs), database_2 = pd.read_fwf(**kwargs), database_3 = pd.read_fwf(**kwargs)...

Then database = pd.concat([database_1...])

But I would like to have a module that I could import and have all my databases and configuration of ETL in it so I could just do something like 'database = my_module.dabase' to import the database, without all that process everytime.

Thanks for any help.

you are viewing a single comment's thread
view the rest of the comments
[-] 4am@lemm.ee 2 points 4 days ago

It does sound to me like ingesting all these different formats into a normalized database (aka data warehousing) and then building your tools to report from that centralized warehouse is the way to go. Your warehouse could also track ingestion dates, original format converted from, etc. and then your tools only need to know that one source of truth.

Is there any reason not to build this as a two-step process of 1) ingestion to a central database and 2) reporting from said database?

this post was submitted on 25 Jun 2024
25 points (90.3% liked)

Python

5878 readers
19 users here now

Welcome to the Python community on the programming.dev Lemmy instance!

📅 Events

October 2023

November 2023

PastJuly 2023

August 2023

September 2023

🐍 Python project:
💓 Python Community:
✨ Python Ecosystem:
🌌 Fediverse
Communities
Projects
Feeds

founded 1 year ago
MODERATORS