Data & BI
Data engineering best practices and BI from Jutomate’s team and community. You’ll find working examples for Airflow, Amazon Redshift, Athena and BigQuery, fixes for the errors these tools raise, and notes on cutting cost. They start from how we approach data work: reliable data and shared definitions come before any dashboard.
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80% Cost Reduction in Google Cloud BigQuery
Google Cloud BigQuery costs can be reduced by limiting unnecessary data scans, avoiding repeated calculations and setting query quotas to control consumption. At Investing.com, introducing quotas reduced monthly spending from…
