google-big-queryHow can I use Google BigQuery BI Engine to analyze large datasets?
Google BigQuery BI Engine is a serverless, in-memory analysis service that allows you to analyze large datasets using SQL. It provides an interactive query interface that lets you quickly upload and analyze data in BigQuery.
Example code to analyze a large dataset using BigQuery BI Engine:
# Standard SQL
SELECT
COUNT(*)
FROM
`bigquery-public-data.samples.natality`
Output example
Row count: 5642088
Code explanation
SELECT COUNT(*): This statement is used to count the total number of rows in the dataset.FROMbigquery-public-data.samples.natality`: This statement is used to specify the dataset to be analyzed.
Helpful links
More of Google Big Query
- How can I use Google Big Query to count the number of zeros in a given dataset?
- How do I use the UNION clause in Google BigQuery?
- How can I use Google Big Query to analyze data from the GDELT project?
- How do I use Google Big Query with Zoom?
- How do I use Google Big Query to merge data?
- How do I rename a column in Google BigQuery?
- ¿Cuáles son las ventajas y desventajas de usar Google BigQuery?
- How do I use the YEAR function in Google BigQuery?
- How can I use Google Big Query with MicroStrategy?
- How do I use wildcards in Google BigQuery?
See more codes...