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.

Learn how to connect, query, and manipulate data from SQL, MongoDB, or SQLite databases in R, using various drivers and packages.

The functions used in this project are: extract_lines - a Python generator that takes the dataset as input, and lets the ETL pipeline read in the data one row at a line. This is useful for preventing ...

Storing the data independent of the SaaS database provides greater flexibility to transform, join, cleanse, cube, or aggregate data as required by downstream users and applications.

This patent-pending technology enables instant-access to critical data in a backup file without taking the time or storage necessary to restore the database. To access data in a SQL Server backup, the ...