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- Cross-region dataset replication | BigQuery | Google Cloud
Primary region When you first create a dataset, BigQuery places the dataset in the primary region Secondary region When you add a dataset replica, BigQuery places the replica in the secondary region Initially, the replica in the primary region is the primary replica, and the replica in the secondary region is the secondary replica
- Modelling Custom Geographical Regions for Map Visual
New to PowerBi and need help understanding how to model regions I'm working on creating a report that deals with multiple projects spread over several regions Our company has custom geographical 'regions' Some regions correspond to continents, while others are countries Dim Regions Table
- Best practice with multiple regions external tables in BigQuery
The problem I’m having I’m looking for some advice on the best way to manage sources staging models from multiple regions in BigQuery while the primary analytics models are in us-west1 in BigQuery The context of why I’m trying to do this I am currently running dbt core in Github Actions to do daily hourly builds in BigQuery Most raw data sources I am working with are loaded into us
- python - BigQuery: query cross region - Stack Overflow
You can't perform cross region query You must have your data in the same region to query them The solution is to use the BigQuery data transfer to copy a dataset to another one (in the correct region) You haven't no other solution than duplicating all the data in the dataset (no possible to select only a table) to another region (and therefore to pay the data storage and the inter region
- Link multiple data regions to the same dataset in a Power BI paginated . . .
Show a table with multiple row groups as a column chart You can show a table with multiple row groups as a column chart with multiple category groups For more information, see Display the same data on a matrix and a chart For an example of a table and chart that present different views of the same report dataset, see the Product Line Sales
- [D] How do you share big datasets with your team and others?
Others have mentioned AWS S3 or azure or GCP storage Make sure the storage tier is appropriate for the use case Different tiers have different costs and offer different access times If going the latter route, think about the file type CSV is good for small files but not the best for BIG data You can use hive partitioning with parquet or
- Solved: Best method to combine two separate gateway region . . .
Thank You for helping I am a bit lost, I have 2 AWS regions (Ireland, Virginia), I am duplicating the same report for the two regions as we not centralizing combining the data Which is not what we want 1 Report = 1 Dataset = DB1 Ireland = Region1 Gateway (Ireland) Copy Report = 1 Dataset = DB2 Virginia = Region2 Gateway (Virginia)
- How to access by region from a dataset? - Stack Overflow
Acctully this line of code totally right but try pandas query method in you case it's going to be ds2 query('Region==Africa') Make sure that your condition parameter ('Africa') exactly the same in dataset it's case sensitive or may Africa doesn't in dataset Any way it's recommend to use query method it's more flexible specially in case having
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