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TL;DR Google is changing the pricing and compute model of BigQuery dramatically for both compute and storage. New orders of Flat-rate and Flex Slots will
TL;DR Google is introducing a new method to autoscale slots along with a new pricing plan to accommodate this. We have created a calculator you
In an edited excerpt from a series on optimizing BigQuery costs and performance, we explore how to identify the queries in your environment that are incurring the most costs.
Primer on BigQuery Cost and Performance Optimizations Previous Articles in this Series Part 1 Part 2 The “Doing” Introduction The past two sections have covered
Primer on BigQuery Cost and Performance Optimizations Overview Below is a list of all queries that are contained in the GitHub repository for this series of articles along with
If you want to speed up your query processing and reduce the costs involved, you should avoid these eight common mistakes.
Primer on BigQuery Cost and Performance Optimizations Other parts in this series: Part 1 Part 3 Continuing On In the first part of this series
Imagine your company is running multiple BigQuery datasets and you just added a new team of analysts querying it a month before. One morning while sipping your coffee (or tea as we don’t want to discriminate) you get your GCP bill and discover that your BQ analysis and storage costs went up by 5,000%.
BigQuery is a versatile data warehouse that helps you turn big data into valuable insights – but you can run up costs fast. In the first of a series of detailed guides, we show you how to use it efficiently.
In my previous article, I showed you how to run containers using Cloud Composer (managed Apache Airflow for the uninitiated). Since that article was published,
From cost optimization to cloud migration, machine learning and CloudOps, we’re here to make the public cloud easy — without the costs.
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