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  1. 24 kwi 2012 · The fastest way to do this is to link MySQL directly to Excel using ODBC queries or MySQL For Excel. The latter was mentioned in a comment to the OP, but I felt it really deserved its own answer because exporting to CSV is not the most efficient way to achieve this.

  2. 21 sty 2014 · Using extended options of the INTO OUTFILE nomenclature, it is possible to create a comma separated value (CSV) which can be imported into a spreadsheet application such as OpenOffice or Excel or any other application which accepts data in CSV format.

  3. Export/Import MySQL data to Excel using the From Database feature. Similar to the method in the section above, Excel provides one more option to load data from the MySQL database to Excel. In the Data tab, under the Get Data list, choose the From MySQL Database command:

  4. 10 sty 2024 · I’ll be showing examples using BigQuery’s public data, Microsoft’s sample AdventureWorks database, and MySQL’s sample Employee database. I’ll start with the simplest method. Method 1: Copy and Paste. This is the quickest way to export an SQL query to a spreadsheet, and I use it 99% of the time.

  5. How to connect to a MySQL database from Excel, fetch the latest data from it, and work with that data inside your spreadsheets in Excel. This tutorial is step-by-step and shows you how to do everything, from downloading the ODBC drivers (explained in the tutorial) to importing and transforming the data from specific tables in MySQL.

  6. 19 sie 2022 · Data can be imported from MySQL into a Microsoft Excel spreadsheet by using the Import MySQL Data option after selecting either a table, view, or procedure to import. First of all, you do the first 6 steps describe above in "Edit MySQL Data in Excel" then select your table which you want to import.

  7. Understanding Excel MySQL Connector. Excel MySQL Connector serves as an interface allowing Excel to interact directly with MySQL databases. It facilitates data import from MySQL to Excel for analysis, and data export from Excel to MySQL for storage and further processing.