Databricks Community

How was your experience this year?

In Databricks, using 11.3 ML runtime give different results when using general purpose vs memory-optimized workers. I used SARIMAX and to forecast the results but I’m getting different results when I change the driver and worker types to this options...

Is there a way to create a Dockerfile from Workspace A's cluster configurations and deploy that on a different different cluster in Workspace B?

I am trying to use the \text function from the package amsmath, but I can't seem to find a way to call this package. Is there another route of achieving the same result? Thanks!

I'm having some issues with creating a dataframe with a date column. Could I know what is wrong?from pyspark.sql import SparkSession from pyspark.sql.types import StructType from pyspark.sql.types import DateType, FloatType spark = SparkSession.bui...