/plushcap/analysis/gretel-ai/running-gretel-on-apache-airflow

Build a synthetic data pipeline using Gretel and Apache Airflow

What's this blog post about?

In this blog post, a synthetic data pipeline is built using Apache Airflow, Gretel's Synthetic Data APIs, and PostgreSQL. The purpose of the pipeline is to extract user activity features from a database, generate a synthetic version of the dataset, and save it to S3 for use by data scientists without compromising customer privacy. The pipeline consists of three stages: Extract, Synthesize, and Load. Gretel's Python SDKs are used to integrate with Airflow tasks, and an example booking pipeline is provided along with instructions on how to run it end-to-end.

Company
Gretel.ai

Date published
Aug. 24, 2021

Author(s)
Drew Newberry

Word count
1803

Hacker News points
1

Language
English


By Matt Makai. 2021-2024.