What is the solution for correcting a data conversion error encountered while reading a CSV file in Azure Synapse Analytics?

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The solutions for correcting a data conversion error encountered while reading a CSV file in Azure Synapse Analytics are as follows:

1. Check the file format: Ensure that the CSV file is in the correct format with the correct separators and encodings.

2. Check the file encoding: Ensure that the CSV file is in the correct encoding format, such as UTF-8 or ASCII. You can use tools like Notepad++ or Visual Studio Code to view and change the encoding of a file.

3. Check the schema: Ensure that the data types of the columns in the CSV file match the schema of the table in Azure Synapse Analytics. If necessary, you can modify the data types of the table columns or use a different CSV file with the correct schema.

4. Use data mapping: You can use Azure Synapse Analytics Data Flow to map columns from the CSV file to the table columns to ensure exact matches in data types and formats.

5. Use the preview option: Use the Preview option to preview the CSV file data before importing. This will help you identify any errors or discrepancies in advance, making it easier to correct them.

6. Use the staging table: You can use a staging table to import the CSV file data before transferring it to the final table. This will give you the chance to correct any errors or discrepancies before moving the data to the final table.

7. Convert the CSV file: You can convert the CSV file to a different format, such as Parquet or ORC, which can help resolve data conversion errors. Azure Synapse Analytics supports several file formats, including CSV, Parquet, ORC, JSON, and Avro.