To extract data using SQL from CSV files, you need to import or load the CSV file into a SQL database or a SQL-compatible tool, such as SQLite, MySQL, PostgreSQL, or SQL Server.

From there, we will use the SQL Server Command Line Utility, sqlcmd, to extract CSV data from the two tables directly. The CSV files will then be converted into parquet files for uploading to Azure.

With the release of SQL Server 2014 earlier this year, Microsoft Corp. marked another milestone in its vaunted plan to plunge into cloud computing. SQL Server 2014 found a favourable response in ...

If the table does not exist, it creates it in the SQL Server database with the same columns, data types, and indexes as in the MySQL table. It fetches the latest timestamp from the SQL Server table.

The tool also provides a preview of the recoverable data before saving. It supports SQL Server 2019 and all the earlier versions. Conclusion. If you’ve the database backup available and know the time ...

We have an ancient AS/400 730 system that still houses some old budget/financial data. We'd like to decommission this box, and migrate the data to a SQL server. The data won't be modified or ...

Take advantage of the open source library Serilog to log your ASP.NET Core application’s data to SQL Server or another database target. Logging is an essential feature for any application, as it ...

Dino Esposito explains JSON-to-rowset native support in SQL Server 2016 and provides a realistic perspective of data query when you ... JSON is not a native data type. A SQL Server column that ...

In SQL Server, the database can be stored in different files and filegroups. If your database is small (100 MB or less), you do not need to worry too much about files and filegroups. But if you have a ...

Learn about the best ways to extract data using SQL from text files in different formats, such as CSV, JSON, XML, or plain text. See examples of commands and queries.