What are the key factors in the cost analysis of cloud data pipelines?
The key factors include data transfer costs, storage fees, processing power, and the pricing model of the cloud provider.
How can I optimize these costs?
You can optimize costs by choosing the right instance types, using reserved instances, and monitoring usage to avoid over-provisioning.
Are there any tools to help with this analysis?
Yes, tools like AWS Cost Explorer, Azure Cost Management, and Google Cloud's Billing Reports can help analyze and manage costs.
What common mistakes should I avoid in cost analysis?
Common mistakes include not accounting for hidden costs, failing to monitor usage regularly, and not considering long-term commitments.
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