3 Essential Questions to Address When Building an API-Involved Incremental Data Loading Script

TLDR

This article explains both the conceptual framework and practical code implementation for syncing data from API endpoints to your database using dlt (a Python library).

At the end of this tutorial, you will understand (and know how to implement) the sync behavior in the following illustration where we extract data incrementally and write to the destination table with the merge (dedup) strategy.

The context

1. You want to sync data from an application (e.g., ads performance, sales figures, etc.) to your database.
2. Your application provides API endpoints to retrieve its data.
3. The data needs to be synced daily to your database.
4. You want to load only the ❗"new" data (or the changes)❗ into your database. You do not want to load the entire set of data all over again every time you sync.

How would you do it in Python?

I will walk you through the solution by addressing the following 3 questions.

Tags: Business Intelligence Data Engineering Data Science Etl Python

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