← Google Cloud Platform learning path
Google Cloud Platform · Module 7 of 10

Data analytics with BigQuery

Analyse huge datasets with serverless SQL.

📖 Key ideas

  1. BigQuery is a serverless data warehouse.
  2. Query terabytes with standard SQL in seconds.
  3. Pricing by bytes scanned (on-demand) or slots (capacity).
  4. Partition and cluster tables to reduce cost.
  5. Public datasets are available to practise.
💡 Real-life example: BigQuery is a super-librarian who reads millions of books in seconds, charging per page read.
BigQueryServerless data warehouse
Bytes scannedData read by a query, used for pricing
Partitioned tableTable split by date/column
Public datasetsFree datasets to query