How to Blend Multiple Data Sources in BigQuery
HomeGoogle BigQuery for MarketersModule 3 BigQuery Tutorial How to Blend Multiple Marketing Data Sources in BigQuery Santiago Cardozo Marketing Manager at Porter March 19, 2026 If you want to see Meta Ads, Google Ads, and Google Analytics 4 data in a single BigQuery table, you have two options. You write SQL JOIN queries to combine […]
BigQuery Datasets and Tables
HomeGoogle BigQuery for MarketersModule 2 BigQuery Tutorial Google BigQuery Datasets and Tables: How Data Is Organized Santiago Cardozo Marketing Manager at Porter March 19, 2026 Google BigQuery organizes all data in a three-level hierarchy: projects contain datasets, and datasets contain tables. Understanding this structure is the first step to setting up your marketing data warehouse […]
Google BigQuery Studio Overview
HomeGoogle BigQuery for MarketersModule 2 BigQuery Tutorial Google BigQuery Studio: A Complete Interface Overview Santiago Cardozo Marketing Manager at Porter March 19, 2026 Google BigQuery Studio is the browser-based interface where you write SQL queries, explore your datasets, and view your results. You access it through the Google Cloud console at console.cloud.google.com/bigquery. You do not […]
BigQuery Organizations, Projects, and Billing
HomeGoogle BigQuery for MarketersModule 2 BigQuery Tutorial Google BigQuery: Organizations, Projects, and Billing Explained Santiago Cardozo Marketing Manager at Porter March 19, 2026 Before you start loading data into BigQuery, you need to understand how Google Cloud organizes your resources. The structure has three levels: organizations, projects, and billing accounts. Getting this right from the […]
Create a Google Cloud Account
HomeGoogle BigQuery for MarketersModule 2 BigQuery Tutorial How to Create a Google Cloud Account for BigQuery Santiago Cardozo Marketing Manager at Porter March 19, 2026 Creating a Google Cloud account takes about five minutes. Once you have one, you get access to Google BigQuery, Data Studio (formerly Looker Studio), Cloud Storage, and every other Google […]
Google Sheets vs Data Studio vs BigQuery
HomeGoogle BigQuery for MarketersModule 1 BigQuery Tutorial Google Sheets vs Data Studio (formerly Looker Studio) vs BigQuery: Which Should You Use? Santiago Cardozo Marketing Manager at Porter March 19, 2026 Google Sheets, Data Studio, and Google BigQuery all help marketing teams work with data. But they are not interchangeable. Each tool is built for a […]
Marketing ETL vs General ETL Tools
HomeGoogle BigQuery for MarketersModule 1 BigQuery Tutorial Marketing ETL Tools vs General ETL Tools: What Is the Difference? Santiago Cardozo Marketing Manager at Porter March 19, 2026 Both marketing ETL tools and general ETL tools move data from your sources into a destination like Google BigQuery. But they are built for different users, with different […]
Google BigQuery Cost
HomeGoogle BigQuery for MarketersModule 1 BigQuery Tutorial Google BigQuery Cost: What Marketing Teams Actually Pay Santiago Cardozo Marketing Manager at Porter March 19, 2026 Most marketing teams that use Google BigQuery pay nothing. The free tier covers the majority of standard marketing use cases. But to understand why, you need to know what BigQuery charges […]
What Is Google Cloud?
HomeGoogle BigQuery for MarketersModule 1 BigQuery Tutorial What Is Google Cloud? Santiago Cardozo Marketing Manager at Porter March 19, 2026 Google Cloud is a suite of cloud computing services. It covers storage, data analytics, machine learning, artificial intelligence, and much more. Google Cloud Platform, often called GCP, is the infrastructure that hosts all of these […]
BigQuery vs Snowflake, Redshift, and Azure
HomeGoogle BigQuery for MarketersModule 1 BigQuery Tutorial Google BigQuery vs Snowflake, Redshift, and Azure: Which Is Best for Marketing Teams? Santiago Cardozo Marketing Manager at Porter March 19, 2026 If you are choosing a data warehouse for your marketing data, you will come across four main options: Google BigQuery, Snowflake, Amazon Redshift, and Azure Synapse. […]