MSSparkUtils is the Swiss Army knife inside Synapse Spark

Liliam_C_Leme 
on "Note 2": if you want to process multiple notebooks in parallel within the same session it is a little bit more complicated.

If you just have a plain for-each-loop in python calling `mssparkutils.notebook.run`, this will run the notebooks sequentially.

For parallel execution you have to make use of threadding in Python...

from concurrent.futures import ThreadPoolExecutor

timeout = 3600 # 3600 seconds = 1 hour

notebooks = [
    {"path": "notebook1", "params": {"param1": "value1"}},
    {"path": "notebook2", "params": {"param2": "value2"}},
    {"path": "notebook3", "params": {"param3": "value3"}},
]

with ThreadPoolExecutor() as ec:
    for notebook in notebooks:
        ec.submit(mssparkutils.notebook.run, notebook["path"], timeout, notebook["params"])