In April-2021, Google released1 for Preview a BigQuery enhancement supporting Table Sampling2. This feature allows you to process a subset of the data in a BigQuery table while reducing costs associated with scanning and processing the entire table or partition.
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In March-2021, Google released1 for General Availability a Dataproc enhancement supporting Stop/Startable Clusters2. This feature allows you to stop an inactive Dataproc cluster, to later be re-started when it is needed again.
In this article, we’ll take a closer look at this feature, with an aim to better understand its cost implications and to help you determine if it will be helpful to your cost-reduction efforts.
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In November 2020, Google released1 a Pub/Sub feature called Message Filtering2. This feature can help reduce unnecessary invocations of an HTTP endpoint and reduce egress traffic, both of which can help you reduce infrastructure costs.
In this article, we’ll take a closer look at this feature, with an aim to better understand its cost implications and to help you determine if it will be helpful to your cost-reduction efforts.
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BigQuery is a flagship Google Cloud product. It is a managed data warehouse service. Its integration into Google and 3rd party ecosystems makes it a powerful tool for democratizing data. It can become one of your largest Google Cloud Platform (GCP) costs - and brings unique management challenges.
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