Once all the components are ready, we can create a Scheduled Trigger, which will allow the Data Factory Pipeline to be run once every day. Using this trigger makes it easy to automatically extract, ...

Eliminate empty columns in datasets with Power Query. Explore automated, reusable solutions for efficient and adaptable data ...

Have you heard of Power Query in Microsoft Excel but always thought that it's only intended for Excel experts? Let me stop ...

Users still need to clean, transform and aggregate data once it arrives in Snowflake. Spark Declarative Pipelines, on the other hand, goes beyond by going from source to usable data.

Key Duties and Responsibilities: Design and implement robust Data Warehouse solutions. Deploy and maintain efficient and scalable data warehouse systems. Optimise data models for performance and ...

Here’s yet another post in my series on things I think you should be doing in Power BI Copilot AI Instructions. Today: validating values that users enter as filters in their prompts. It’s something of ...

User can use C99 designated initializer or C++ aggregate initialization to define constant database table, column, and migration, this can reduce running time when making schema, see doc/ ...