Ido Michael

Ido Michael co-founded Ploomber to help data scientists build faster. He'd been working at AWS leading data engineering/science teams. Single handedly he built 100’s of data pipelines during those customer engagements together with his team. Originally from Israel, he came to NY for his MS at Columbia University. He focused on building Ploomber after he constantly found that projects dedicated about 30% of their time just to refactor the dev work (prototype) into a production pipeline.

Schedule & Run ETLs with Jupysql and GitHub Actions

By Ido Michael, Ploomber.io on May 1, 2023 in Data Engineering
This blog provided you with a comprehensive overview of ETL and JupySQL, including a brief introduction to ETLs and JupySQL. We also demonstrated how to schedule an example ETL notebook via GitHub actions, which allows you to automate the process of executing ETLs and JupySQL from Jupyter.
Building a Scalable ETL with SQL + Python

By Ido Michael, Ploomber.io on April 21, 2022 in Data Science
This post will look at building a modular ETL pipeline that transforms data with SQL and visualizes it with Python and R.
Time Series Forecasting with Ploomber, Arima, Python, and Slurm

By Ido Michael, Ploomber.io on March 29, 2022 in Machine Learning
In this blog you will see how the authors took a raw .ipynb notebook that does time series forecasting with Arima, modularized it into a Ploomber pipeline, and ran parallel jobs on Slurm.
From Google Colab to a Ploomber Pipeline: ML at Scale with GPUs

By Ido Michael, Ploomber.io on March 17, 2022 in Machine Learning
In this short blog, we’ll review the process of taking a POC data science pipeline (ML/Deep learning/NLP) that was conducted on Google Colab, and transforming it into a pipeline that can run parallel at scale and works with Git so the team can collaborate on.
Ploomber vs Kubeflow: Making MLOps Easier

By Ido Michael, Ploomber.io on February 14, 2022 in MLOps
This article covers some background on Ploomber, Kubeflow pipelines, and why we need those tools to make our lives easier.

Ido Michael

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