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Harun
by • Honored Contributor
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Optimizing Costs in Databricks by Dynamically Choosing Cluster Sizes

Databricks is a popular unified data analytics platform known for its powerful data processing capabilities and seamless integration with Apache Spark. However, managing and optimizing costs in Databricks can be challenging, especially when it comes ...

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mame17
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@Second Reply You’re right just printing out selected_pool isn’t enough to actually leverage dynamic cluster sizing at runtime. In practice, the value of selected_pool would feed directly into your Databricks cluster creation API or workflow automati...

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