I answer questions about Analytics and ETL for Google CloudOnAir. Learn about separating data storage and compute, and analytical tools like BigQuery and Dataflow.
Videos
Articles
June 2022: Transform satellite imagery from Earth Engine into tabular data in BigQuery
Geospatial cloud can help customers solve business problems using spatial datasets, high power computation and modeling. One of the most common questions customers ask is how to move data from Earth Engine to BigQuery; read this article to find out more.
March 2023: Unlocking Retail Location Data with CARTO and BigQuery
Add geospatial intelligence to your Retail use cases by leveraging the CARTO platform on top of BigQuery
Feb 2021: Scale model training in minutes with RAPIDS + Dask and NVIDIA GPUs on Vertex
Use Dask with GPUs for a major reduction in model training time by following this tutorial. Distributed processing on Google’s AI Platform.
August 2022: Spatial clustering on BigQuery - Best practices
BigQuery does spatial clustering under the hood to increase performance and reduce the cost of geospatial queries. Learn how it works, and how to best utilize other spatial indexes like geohash and H3 in this blog
Feb 2023: Part 1 - How to choose between regional, dual-region and multi-region Cloud Storage
Part 2 - How to migrate Cloud Storage data from multi-region to regional
Are you sure your Cloud Storage buckets should be multi-region? Read this blog to find out if, and how, you should do a migration to regional storage