A multinational media company stores most of its customer interaction logs in Amazon S3 and Azure Blob Storage. The analytics team wants to use standard SQL to explore this data without first copying it into Google Cloud or managing any query engines. Which BigQuery capability directly addresses this multicloud requirement?
BigQuery Omni lets customers run the BigQuery query engine on other major public clouds through Google Cloud's Anthos platform. Queries are executed close to where the data resides (for example, in AWS or Azure), so the data does not have to be moved into Google Cloud. This delivers BigQuery's familiar serverless experience and ANSI-SQL interface across clouds. BigQuery ML, Reservations, and Data Transfer Service provide other benefits-building machine-learning models inside BigQuery, capacity planning, and scheduled data ingestion respectively-but they do not enable in-place analytics on data that remains in other cloud providers.
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What is BigQuery Omni and how does it work?
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What is Anthos and how does it support BigQuery Omni?
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How does BigQuery Omni differ from BigQuery Data Transfer Service?
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What is BigQuery Omni?
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What is Google Cloud's Anthos platform, and how does it support BigQuery Omni?
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How does BigQuery Omni differ from BigQuery Data Transfer Service?
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