[FEATURE REQUEST]: support for something like dbutils to move/copy/delete data easily

**Is your feature request related to a problem? Please describe.**
There is a request to save one single file in ADLS Gen2 as the output rather than a folder containing several files with partition GUID. In order to do it, in scala, we can play a trick by using dutils: coalesce the files into one and save the folder, copy the merged csv file and rename it, remove the temp folder.
A sample code is like below,

val fileprefix= "abfss://filesystem@storageaccount.dfs.core.windows.net/PageView/V1"

agg_pageView_df.coalesce(1)
.write
.format("com.databricks.spark.csv")
.mode("overwrite")
.option("header", "true")
.option("inferSchema", "true")
.save(fileprefix + ".tmp")

val partition_path = dbutils.fs.ls(fileprefix+".tmp/")
.filter(file=>file.name.endsWith(".csv"))(0).path

dbutils.fs.cp(partition_path,fileprefix+".csv")
dbutils.fs.rm(fileprefix+".tmp",recurse=true)

There is no support like dbutils in Spark.Net. We may need to use a separate ADLS client to connect to the storage and move/delete/copy the data.

That will be great if Spark.Net support this kind of data processing.

**Describe the solution you'd like**
Add support for something like dbutils, then you don't need to connect to the storage again with an independent client (like ALDS client) as spark already connect to it.