Read from Azure SQL Database in Azure Machine Learning and subsequently writing back to Azure SQL Database

sqldb-demo.ipynb

Could you support me by giving me the required Tables (ExpenseReport, ExpenseCategory, Employee and ExpenseReportPrediction Table
) so that I could execute this job? Because I got errors when insert data into ExpenseReportPrediction Table

Error I got is "errorCode=DelimitedTextMoreColumnsThanDefined,'Type=Microsoft.DataTransfer.Common.Shared.HybridDeliveryException,Message=Error found when processing 'Csv/Tsv Format Text' source '.git/objects/pack/pack-8b9715f5fd992316813d506c697e5726410ab52c.rev' with row number 2: found more columns than expected column count 1.,Source=Microsoft.DataTransfer.Common,'","

The database that I use is from a different talk: https://github.com/feaselkl/Developing-Machine-Learning-Services/tree/master/data

Hi, I follow your instruction and encounter this error

When using the blob_datastore.upload function with the src_dir='data' and target_path='ExpenseReportPrediction' parameters, the operation uploads all files from the data directory to the ExpenseReportPrediction path in the Blob Storage. Currently, the data directory contains three files: one CSV file (predictions.csv) and two additional files generated automatically by the machine learning process. As a result, when referring to the ExpenseReportPrediction path for data insertion into the SQL table, all three files are considered, which leads to unintended files being processed and inserted into the table.

Could you support me how to resolve this error