Ok, so I recommend to familiar with this documents:
https://docs.databricks.com/en/structured-streaming/delta-lake.html#language-python 
https://docs.databricks.com/en/structured-streaming/tutorial.html

Here you can find some sample generic transformation between batch and streaming approach:

# Batch approach:
(spark.read
    .table("<table-name1>")
    .<some_transformations>
    .write
    .saveAsTable("<table-name3>")
)

# Streaming approach:
(spark.readStream
    .table("<table-name1>")
    .<some_transformations>
    .writeStream
    .trigger(availableNow=True)
    .option("checkpointLocation", "<checkpoint-path>")
    .saveAsTable("<table-name3>")
)

Good luck 🙂