google-big-queryWhat is Google Big Query?
Google BigQuery is a fully managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a powerful Big Data analytics platform designed to process very large data sets quickly and cost-effectively. BigQuery is a serverless, highly scalable, and cost-effective data warehouse designed for business agility. It supports a wide range of client libraries and applications, including SQL, Python, Java, and Node.js.
Example code
SELECT *
FROM `bigquery-public-data.samples.natality`
WHERE year > 2000
LIMIT 10
Output example
Row year weight_pounds mother_age plurality gestation_weeks
1 2001 7.5 26 Single(1) 38
2 2001 7.5 33 Single(1) 38
3 2001 7.5 30 Single(1) 38
4 2001 7.5 38 Single(1) 38
5 2001 7.5 29 Single(1) 38
6 2001 7.5 38 Twins(2) 37
7 2001 7.5 20 Single(1) 38
8 2001 7.5 22 Single(1) 38
9 2001 7.5 25 Single(1) 38
10 2001 7.5 25 Single(1) 38
Code explanation
- SELECT - retrieves data from the specified table.
- FROM - specifies the table to retrieve data from.
- WHERE - specifies a condition to filter the data.
- LIMIT - limits the number of rows returned.
Helpful links
More of Google Big Query
- How do I start using Google Big Query?
- How can I use the CASE WHEN statement in Google Big Query?
- How can I use Google Big Query to integrate with Zephyr?
- How do I use the UNION clause in Google BigQuery?
- How do I use Google Big Query with Zoom?
- What are the advantages and disadvantages of using Google BigQuery?
- How can I use Google Big Query to query JSON data?
- How do I use the YEAR function in Google BigQuery?
- How do I query Google BigQuery using XML?
- How can I use Google BigQuery to wait for a query to complete?
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