Gretel Blog

In this blog, we will use Fluent Bit to collect logs from AWS EKS cluster applications.

In this blog post, we build an ETL pipeline that generates synthetic data from a PostgreSQL database using Gretel’s Synthetic Data APIs and Apache Airflow.

Train an AI model to create an anonymized version of your dataset using Python, Pandas, and gretel-synthetics.

Run privacy engineering workloads at the touch of an API call.

Beta2 for Gretel.ai is all about delivering privacy engineering as a service through clean, simple APIs.

I joined Gretel because of the opportunity, people, and problem.

In this post, we will dive into what privacy engineering is, why it’s important, and some of the core use cases we are seeing that are enabled by privacy.

Pandas provides so many options of reading data into a DataFrame, here's our short guide to ones that we found most useful.

Set up a cutting edge environment for deep learning with TensorFlow 2.4 and GPU support.

Our new configuration templates will help you pick some of the right parameters needed to train your synthetic data models.