Databricks Community

You don't have to. If you don't have a huge data set, there may not be much value in Spark ML over anything else. There are also other distributed modeling libraries that work on Spark like xgboost, and Horovod + TF, Keras, Pytorch. Spark ML is a goo...

> What determines when the cluster autoscaling activates to add and remove workersDuring scale-down, the service removes a worker only if it is idle and does not contain any shuffle data. This allows aggressive resizing without killing tasks or recom...

Mounts are global to all clusters but as a best practice, you can use IAM roles to prevent access tot he underlying data. To take this one step further, you can use IAM credential passthrough rather than instance profile because instance profile can ...

For example:folder = dbutils.widgets.get("Folder") if folder == "": raise Exception("Folder missing")or to get spark settings you can use:spark.conf.get("my_property")Learn more about them here - https://docs.databricks.com/notebooks/widgets.html

You can call the REST API to schedule cluster starts and stops from a scheduler.See https://docs.databricks.com/dev-tools/api/latest/clusters.htmlPRO Tip: Use code generation tools within Postman to generate scripts in the language of your choice.

Databricks pool concept may help reduce cluster start up time. more details are here

There shouldn't be. Generally speaking, models will be serialized according to their 'native' format for well-known libraries like Tensorflow, xgboost, sklearn, etc. Custom model will be saved with pickle. The files exist on distributed storage as ar...

The Model Registry is mostly a workflow tool. It helps 'gate' the process, so that (for example) only authorized users can set a model to be the newest Production version of a model - that's not something just anyone should be able to do!The Registry...

Its good idea to optimize at end of each batch job to avoid any small files situation, Z order is optional and can be applied on few non partition columns which are used frequently in read operationsZORDER BY -> Colocate column information in the sam...

In this scenario, the best option would be to have a single readStream reading a source delta table. Since checkpoint logs are controlled when writing to delta tables you would be able to maintain separate logs for each of your writeStreams. I would...