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Description:

Querying massive datasets can be time consuming and expensive without the right hardware and infrastructure. Google BigQuery solves this problem by enabling super-fast, SQL queries against append-mostly tables, using the processing power of Google infrastructure.

Homepage:

https://github.com/googleapis/python-bigquery

License:

Apache-2.0

Versions

Metadata

Description

• Querying massive datasets can be time consuming and expensive without the right hardware and infrastructure. Google BigQuery solves this problem by enabling super-fast, SQL queries against append-mostly tables, using the processing power of Google infrastructure.

Maintainers

• Vladimir Pavljuchenkov (spiderx@spiderx.dp.ua) - Type: person
• Proxy Maintainers (proxy-maint@gentoo.org) - Type: project

Upstream

• Remote IDs:
  • github: googleapis/python-bigquery
  • pypi: google-cloud-bigquery

<pkgmetadata>
	<maintainer type="person">
		<email>spiderx@spiderx.dp.ua</email>
		<name>Vladimir Pavljuchenkov</name>
	</maintainer>
	<maintainer type="project">
		<email>proxy-maint@gentoo.org</email>
		<name>Proxy Maintainers</name>
	</maintainer>
	<longdescription lang="en">
	Querying massive datasets can be time consuming and expensive without
	the right hardware and infrastructure. Google BigQuery solves this problem
	by enabling super-fast, SQL queries against append-mostly tables,
	using the processing power of Google infrastructure.
	</longdescription>
	<upstream>
		<remote-id type="github">googleapis/python-bigquery</remote-id>
		<remote-id type="pypi">google-cloud-bigquery</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

• [Warning] Missing md5-cache for version 9999. Run 'ebuild <ebuild_file> manifest' or 'egencache' to generate it.
• [Warning] Missing md5-cache for version 3.40.0. Run 'ebuild <ebuild_file> manifest' or 'egencache' to generate it.

Manifest