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- Configure access to a source: URL list - Google Cloud
Configure access to a source: URL list bookmark_border To transfer data using a URL list, ensure that the following requirements are met: The URL list is publicly accessible from a URL beginning with either http or https Each URL you specify is publicly accessible For example, in Cloud Storage, you can share an object publicly and get a link
- Create Cloud Storage external tables | BigQuery | Google . . .
You also need the following permissions to access the Cloud Storage bucket that contains your data: storage buckets get storage objects get storage objects list (required if you are using a URI wildcard) The Cloud Storage Storage Admin (roles storage admin) predefined Identity and Access Management role includes these permissions
- Introduction to Cloud Storage transfers | BigQuery | Google . . .
To load data from a Cloud Storage data source, you must provide the path to the data The Cloud Storage resource path contains your bucket name and your object (filename)
- Loading externally partitioned data | BigQuery - Google Cloud
The Cloud Storage bucket must be in the same location as the dataset that contains the table you want to create, append, or overwrite From the File format list, select the file type
- Request endpoints | Cloud Storage | Google Cloud
This page explains the different request endpoints you can use to access Cloud Storage Cloud Storage supports HTTP 1 1, HTTP 2, and HTTP 3 protocols An endpoint is the location where Cloud Storage can be accessed, written as a URL Note: The Cloud Storage URLs described on this page are subject to change Typical API requests JSON API XML API
- Request URIs - Google Cloud Storage — Google Developers
URI for authenticated browser downloads The Google Cloud Storage authentication and authorization models support authenticated browser downloads for users who do not have Google Cloud Storage accounts Authenticated browser downloads use cookie-based Google account authentication in conjunction with Google account-based ACLs
- google cloud platform - BigQuery error in load operation: URI . . .
I have, in the same GCP project, a BigQuery dataset and a cloud storage bucket, both within the region us-central1 The storage bucket has a single parquet file located in it
- Package google. cloud. vision. v1p3beta1 | Vision API Product . . .
The type of Google Cloud Vision API detection to perform, and the maximum number of results to return for that type Multiple Feature objects can be specified in the features list
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