WebBest practices: Cluster configuration. March 16, 2024. Databricks provides a number of options when you create and configure clusters to help you get the best performance at the lowest cost. This flexibility, however, can create challenges when you’re trying to determine optimal configurations for your workloads. WebDatabricks uses disk caching to accelerate data reads by creating copies of remote Parquet data files in nodes’ local storage using a fast intermediate data format. The data is cached automatically whenever a file has to be fetched from a remote location. Successive reads of the same data are then performed locally, which results in ...
Databricks architecture overview Databricks on Google Cloud
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