From the course: Build a No-Code ETL Pipeline with Google BigQuery
Join today to access over 24,500 courses taught by industry experts.
Understand BigQuery pricing - BigQuery Tutorial
From the course: Build a No-Code ETL Pipeline with Google BigQuery
Understand BigQuery pricing
- BigQuery is an incredibly powerful tool for data analysis, but with great power comes the responsibility to manage costs and ensure that your queries are efficient. Before you jump into writing queries, here are a few essentials that you need to know to keep things running smoothly. The good news is that well-written queries are both fast and cost-effective. You can optimize for both of these things at the same time. In BigQuery, there are two main sources of cost, storage and querying. Storage costs come from the data that you store within BigQuery, while querying costs come from analyzing this data. In most cases, the querying cost tends to dominate, especially when dealing with large datasets. This makes query efficiency a key focus for cost management in BigQuery. To help you manage costs, BigQuery pricing page shows exactly how much you pay based on the quantity of data scanned. You can also see your free monthly allowance here. At the time of recording, BigQuery is priced at…
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.