- how do you tune speaker systems?
- Other than tone, are there reasons to consider a semi-hollow over a solid body electric guitar?
- Is there any reason not to use TRS cables for typically TS applications?
- Tools to automate “tape-like” audio manipulation
- How to add SPBuiltInFieldId.LinkFilenameNoMenu to library view
- How to display a column of another list in display form of a list
- Sharepoint On Premise with Azure Application insights
- Enable Document Set Missing from Site Settings - Site Features
- TPMS sensor manufacturers
- What lug pattern fits a 1994 Dodge Dakota?
- How does a tire's diameter and width impact fuel economy?
- engine not working properly after the distributor change
- bent tabular rear control arm
- Do I need to replace drums when I replace drum shoes?
- Shared subset of users in a multi-site instance
- Prevent sites from receiving modules installed by other sites in a multi-site instance
- Drupal Commerce 2 Tax (VAT) Resolver
- How to deal with 'internal:' in your link->uri?
- Display nodes even it it untranslated
- How to get translated field using Twig tweak?
How should I expose data from my app for data scientists?
I'm the product manager for an online app. I'm currently researching a new feature where our users will be able to access "all their raw application data". This data is likely to be used by data scientists, it's also likely to be loaded into BI tools. The datasets will contain up to a few million rows.
How should I actually expose the data in a practical sense?
Online datasource like Amazon Redshift
Some other RDBMS available online (e.g. a dedicated postgres installation)
CSV files available on S3
CSV files available for download in a web interface
Dumps into Google sheets
Doesn't matter as decent data scientists can easily handle and automate anything