Repeatable sampling, distributed processing, and global weather data

For your convenience if you are following me only on medium, here are links to three of my recent articles that were published elsewhere:

  1. Repeatable sampling of datasets in BigQuery for machine learning (https://www.oreilly.com/learning/repeatable-sampling-of-data-sets-in-bigquery-for-machine-learning)
  2. How to do distributed processing of Landsat data in Python (https://cloud.google.com/blog/big-data/2016/11/how-to-do-distributed-processing-of-landsat-data-in-python)
  3. Global historical weather data now available in BigQuery (cloudplatform.googleblog.com/2016/09/global-historical-daily-weather-data-now-available-in-BigQuery.html)