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 do I use a Google BigQuery URL?
- How can I use Knime to connect to Google BigQuery?
- How can I compare Hadoop and Google BigQuery for a software development project?
- What is Google Big Query?
- How do I use the Google Big Query UI?
- How do I use a Google Big Query refresh token?
- How do I query Google Big Query?
- How do I use Google Big Query to encrypt data?
- How can I use Google Big Query to analyze data from the GDELT project?
- ¿Cuáles son las ventajas y desventajas de usar Google BigQuery?
See more codes...