Lakehouse Tutorial issues preparing and transforming data in the lakehouse

Hey Everyone, 

I am following the End-to-end Lake House Tutorial under Lakehouse tutorial - Prepare and transform lakehouse data - Microsoft Fabric | Microsoft Learn .

When running the second Notebook `02 - Data Transformation - Business Aggregates.ipynb` (step 20 from the https://learn.microsoft.com/en-us/fabric/data-engineering/tutorial-lakehouse-data-preparation) : 

df_fact_sale = spark.read.table("wwilakehouse.fact_sale") 
df_dimension_date = spark.read.table("wwilakehouse.dimension_date")
df_dimension_city = spark.read.table("wwilakehouse.dimension_city")

...I get an AnalysisException:

---------------------------------------------------------------------------
AnalysisException                         Traceback (most recent call last)
Cell In[11], line 1
----> 1 df_fact_sale = spark.read.table("wwilakehouse.fact_sale") 
      2 df_dimension_date = spark.read.table("wwilakehouse.dimension_date")
      3 df_dimension_city = spark.read.table("wwilakehouse.dimension_city")

File /opt/spark/python/lib/pyspark.zip/pyspark/sql/readwriter.py:484, in DataFrameReader.table(self, tableName)
    450 def table(self, tableName: str) -> "DataFrame":
    451     """Returns the specified table as a :class:`DataFrame`.
    452 
    453     .. versionadded:: 1.4.0
   (...)
    482     >>> _ = spark.sql("DROP TABLE tblA")
    483     """
--> 484     return self._df(self._jreader.table(tableName))

File ~/cluster-env/trident_env/lib/python3.11/site-packages/py4j/java_gateway.py:1322, in JavaMember.__call__(self, *args)
   1316 command = proto.CALL_COMMAND_NAME +\
   1317     self.command_header +\
   1318     args_command +\
   1319     proto.END_COMMAND_PART
   1321 answer = self.gateway_client.send_command(command)
-> 1322 return_value = get_return_value(
   1323     answer, self.gateway_client, self.target_id, self.name)
   1325 for temp_arg in temp_args:
   1326     if hasattr(temp_arg, "_detach"):

File /opt/spark/python/lib/pyspark.zip/pyspark/errors/exceptions/captured.py:185, in capture_sql_exception.<locals>.deco(*a, **kw)
    181 converted = convert_exception(e.java_exception)
    182 if not isinstance(converted, UnknownException):
    183     # Hide where the exception came from that shows a non-Pythonic
    184     # JVM exception message.
--> 185     raise converted from None
    186 else:
    187     raise

AnalysisException: [TABLE_OR_VIEW_NOT_FOUND] The table or view `wwilakehouse`.`fact_sale` cannot be found. Verify the spelling and correctness of the schema and catalog.
If you did not qualify the name with a schema, verify the current_schema() output, or qualify the name with the correct schema and catalog.
To tolerate the error on drop use DROP VIEW IF EXISTS or DROP TABLE IF EXISTS.;
'UnresolvedRelation [wwilakehouse, fact_sale], [], false

How can I solve this issue?

Thanks for your help.