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DBT and BigQuery: How to gain visibility and control over your data cost (Episode 2)
In Episode 1, we covered foundational BigQuery costs and how to use dbt metadata to improve visibility and cloud cost management. In this second episode, we’ll explore BigQuery’s built-in cost optimization techniques, which are essential for FinOps professionals looking to efficiently manage cloud spending on BigQuery workloads. We’ll dive into Partitioning and Clustering, Incremental Processing…
Read more about DBT and BigQuery: How to gain visibility and control over your data cost (Episode 2)
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DBT and BigQuery: How to gain visibility and control over your data cost (Episode 1)
The Basics of BigQuery Costs Managing costs in BigQuery begins with understanding the fundamentals. BigQuery charges users primarily for storage and processing, each with unique considerations that affect the total spend. Let’s dive into the details of each. Storage Costs BigQuery storage charges are based on the amount of data stored, measured in terabytes per…
Read more about DBT and BigQuery: How to gain visibility and control over your data cost (Episode 1)
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FinOps Strategies for BigQuery, Snowflake, and their BI Integration
Introduction: Cloud data warehouses like BigQuery and Snowflake have become the backbone of data-driven businesses. However, as data scales, so do costs. Without proper cost management, the investment can outgrow its value. In this article, we’ll dive into FinOps strategies for maximizing your cloud data warehouse ROI, especially when integrated with BI tools like Tableau,…
Read more about FinOps Strategies for BigQuery, Snowflake, and their BI Integration