Tutorials on all the shiny new tools we use to build data pipelines: APIs, BigQuery, Google Data Studio, Google Sheets, Stitch, Supermetrics and more.
Tutorials (cheat sheet included) using the Google Analytics sample dataset to walkthrough BigQuery SQL concepts like grouping, joining and unnesting.
Reviewing the best ETL tools on the market for building marketing data pipelines in BigQuery.
Reviewing all the best SEO APIs out there: Google Search Console, Majestic, Moz and SEMrush. Includes a starter Google Sheets template to get up and running.
Diving into Data Studio: connecting a Google Sheets as a data source, building tables and charts, and styling them with themes.
How we build automated data pipelines at CIFL, using the Google Cloud stack of BigQuery, Sheets and Data Studio.
A bridge connecting Google Sheets to a BigQuery analytics warehouse. Automates creation of BQ views, tables, and uploading of data.
Reviewing the pros and cons of two powerful Google Sheets reporting automation Add-ons, Blockspring and Supermetrics.