About 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.

Ido Michael Posts (4)

• Building a Scalable ETL with SQL + Python - 21 Apr 2022
  
  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 - 29 Mar 2022
  
  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 - 17 Mar 2022
  
  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 - 14 Feb 2022
  
  This article covers some background on Ploomber, Kubeflow pipelines, and why we need those tools to make our lives easier.