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How mismanaged data storage and excessive regionalization inflates egress costs

Data & analytics expert Matthew Richardson discusses the pitfalls of “throwing your data anywhere” and the importance of aligning your storage strategy with your data processing needs.

He uses real-life examples to illustrate how seemingly simple decisions, like storing data in random regions, can lead to significant costs when performing data migrations or ETL processes.

Whether you’re using S3 buckets, BigQuery, or other cloud services, this video will help you anticipate and avoid costly data transfer mistakes in your cloud infrastructure.

📺 Watch the full episode where we explore the different ways you’re overspending on cloud egress and what to do instead: Full Episode

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