By Kaunda ISMAILThis article discusses key tools needed to master, in order to penetrate the data space. Such tools include SQL and NoSQL databases, Apache Airflow, Azure Data Factory, AWS S3, Google ...

In the world of data cleaning, two approaches often stand out: Python ... ready for analysis. Whether you’re visualizing trends in Tableau, building dashboards in Power BI, or conducting ...

Digital transformation for power plants requires processing the vast time-series data from tens of thousands of on-site sensors into big data. Real-time analysis is critical for detecting ...

Enhanced Efficiency And Productivity: BI solutions can streamline data processing, reducing the time spent on data collection and analysis ... like Microsoft Power BI and Microsoft Fabric.

Power Query, a powerful tool within Power BI, allows you to seamlessly pull data from a wide range of sources, including Excel spreadsheets, SQL Server ... but for analysis purposes, you require ...

In this article, I will show you how to connect your Power BI dashboard to the data from GitHub, how to transform and clean the data merge, removing negative values adding additional columns, EDA, ETL ...

To run Python scripts in Power BI, ensure that the Python scripting option is enabled. Navigate to the "File" menu ... Start by loading your data into Power BI. You can import data from various ...

the ability to analyse Power BI data easily using Python in Fabric notebooks. Sandeep Pawar has an excellent blog post here explaining what this is and why it’s so cool. Meanwhile in the Excel ...

Learning how to use Power BI is fairly easy, and if you’re lucky, the built-in features will provide everything you need to produce professional dashboards for end users. However, you’ll get ...