google-big-queryHow much does it cost to use Google Big Query?
Google Big Query is a cloud-based data warehousing solution that allows users to store and query large datasets. The cost of using Google Big Query depends on the type of query and the amount of data being processed.
For example, if you are running a simple query on a small dataset, it would cost about $5 per TB processed.
The following example code shows how to query a dataset using Google Big Query:
SELECT * FROM <dataset>
WHERE <condition>The output of this query will depend on the dataset and condition specified.
The cost of using Google Big Query also depends on the type of storage used. If you are using standard storage, the cost is about $0.02 per GB per month. If you are using long-term storage, the cost is about $0.004 per GB per month.
In addition, there are additional costs associated with streaming and loading data into Big Query. For example, streaming data into Big Query costs $0.05 per GB and loading data into Big Query costs $0.02 per GB.
The following links provide more detailed information about the pricing of Google Big Query:
More of Google Big Query
- How can I use Google Big Query to count the number of zeros in a given dataset?
- How can I export data from Google Big Query to an XLSX file?
- How can I use Google Big Query to process XML data?
- How can I learn to use Google BigQuery?
- How do I use Google Big Query to zip files?
- ¿Cuáles son las ventajas y desventajas de usar Google BigQuery?
- How can I use the CASE WHEN statement in Google Big Query?
- How do I use the YEAR function in Google BigQuery?
- How do I query Google BigQuery using XML?
- How do I use Google Big Query with Excel?
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