Structured Query Language, or SQL, is the programming language used with databases, and it is an important skill for any data scientist.
BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a Platform as a Service that supports querying using ANSI SQL. It also has built-in machine learning capabilities.
Generally, Cloud SQL is a relational database which is more intended for transactional purposes while BigQuery on the other hand is analytics data warehouse which is intended for analytics, data visualization, business intelligence and/or machine learning, etc.
BigQuery provides external access to Google’s Dremel technology, a scalable, interactive ad hoc query system for analysis of nested data. BigQuery requires all requests to be authenticated, supporting a number of Google-proprietary mechanisms as well as OAuth.
Create and delete objects such as tables, views, and user defined functions. Import data from Google Storage in formats such as CSV, Parquet, Avro or JSON.
Free BIGQUERY & SQL FOR SEO Guides
RESOURCE NAME | TYPE | AUTHOR |
|---|---|---|
How to Leverage SQL for SEO Automation | Guide | Cody West |
BigQuery & SQL for SEOs | Presentation | Areej AbuAli |
How to Use BigQuery for Large-Scale SEO (Or Whenever Excel Fails) | Guide | Dominic Woodman |