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easy reporting in Google Data Studio / Microsoft Power BI
connect data to Microsoft Excel or Google Sheets
extract querying using the BigQuery CLI or SDK to extract the data set
Pricing
UltraCart covers the first $1.00 of expense associated with the BigQuery project hosting the account data. That is enough to cover all of the data storage expense and bandwidth associated with the updates that occur over time. The actual cost of BigQuery depends solely on the amount of queries that you execute against the environment. For most merchants they will only spend a few dollars a month on their data warehouse environment. UltraCart will once a month apply the previous month’s data warehouse usage to your bill.
The full pricing for BigQuery is located here. BigQuery is basically:
$0.02/GB of storage with the first 10GB free.
$5.00/TB of data processed during queries.
There are no hourly fees for having a BigQuery data set which makes it incredibly economical for more businesses.
Providing Users Access to the Data Warehouse
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Traditional SQL databases do not operate on nested data within each row of the database. BigQuery fully supports nested hierarchical data within the table schema. If you’re used to SQL, but new to BigQuery make sure to look at the UNNEST function.
What does this feature cost?
UltraCart covers the first $1.00 of expense associated with the BigQuery project hosting the account data. That is enough to cover all of the data storage expense and bandwidth associated with the updates that occur over time. The actual cost of BigQuery depends solely on the amount of queries that you execute against the environment. For most merchants they will only spend a few dollars a month on their data warehouse environment. UltraCart will once a month apply the previous month’s data warehouse usage to your bill.
The full pricing for BigQuery is located here. BigQuery is basically:
$0.02/GB of storage with the first 10GB free.
$5.00/TB of data processed during queries.
There are no hourly fees for having a BigQuery data set which makes it incredibly economical for more businesses.
What use cases can a business solve with a data warehouse?
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