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Hi Rodrigo33333, I think your post as described leaves a a lot to the imagination, I mean, from "My firts try..." I wonder, your first try at doing what? extract the information from the excel file? moving the file from one place to another? I perhaps would like to go with the most common scenario, extracting the information from an .xls file, and again, move questions! Extracting the information using, a pipeline, a notebook? As you see, an .xls file IS NOT A PROBLEM unless you're trying to do something that is either not allowed or not supported...  this is why a better description can go a long way here  😁🤞 

For the time being, I'll go with the most common case, you want to add this .xls file into a Fabric lakehouse and then, using either a  Dataflow Gen2 or  Notebook you want to extract and read its content, in this context, "is an .xls a problem?" and then the answer is NO! as far back in time you go, the harder is to get older version to work, but is not impossible as shown below 

%pip install xlrd

import pandas as pd

# Path to your .xls file in OneLake
file_path = "/lakehouse/default/Files/myfile.xls"

# Read the old Excel file
df = pd.read_excel(file_path, engine="xlrd")
display(df)

Nonehtless, if possible, convert .xls to .xlsx  before ingestion, this avoids compatibility issues and improves performance 😉🤞  and for large-scale ingestion, converting to .csv or .xlsx is best practice. 

Hope this brief explanation help you, and please, keep your questions comming, I'll suggest a more detials description of your environment to get more precises help from the community ... hey, if this has been of help, a kudos would be nice  ☺️and/or mark this as a solution, all the best