Easily create SQL queries and execute them on a database. For an example on how to use this library with data objects, see the VBA-Drupal-Library. For other examples on using the library, refer to the ...

Apple's Numbers spreadsheet for Mac, iPhone, and iPad, is not as powerful as Microsoft Excel, but most users will be ...

The AI projects are intended to address a local need. If teams want to compete, they must be ready to present by January 2026 ...

Excel to SQL Converter A robust Python script that converts Excel (.xlsx, .xls) and CSV files to T-SQL INSERT statements, ready for execution in SQL Server or Azure SQL Database.

With database functions, you can easily create a formula that incorporates all these criteria, allowing for nuanced data filtering and aggregation.

The database capabilities of Excel are very powerful. In fact, not only can Excel be used to create a simple searchable database, it also can be used to create a proper relational database.

Virtual tables connect the Power Platform to business data stuck in silos, enriching it to use with workflows, AI tools and custom apps.

Excel spreadsheets are fantastic bits of kit, but databases are not. Rather than making the full jump to replacing Excel with a database system, there is a halfway house you can consider.

Avoiding Excel Weaknesses So what can an organization do? Excel can let us move past these challenges. If you use Excel’s MDX Connector and SQL with an OLAP data modeling tool that provides a defined ...