I tested Power BI with a massive 5.7 million dataset, and here’s what I found

In a recent Power BI vs Excel webinar, the author decided to put the software to the test using a massive dataset of over 5.7 million song records from the last 100 years. The dataset contains information about the artist, song title, genre and number of views. The goal was to test how well Power BI and Excel could handle and visualize the data, and the results were impressive.

The author found that while Excel struggled with the data size, Power BI was able to handle the dataset with ease, allowing for quick and easy analysis and visualization of the data. Power BI also allowed for more dynamic and visually appealing visualization options, highlighting its strengths as a tool for data storytelling. Overall, the author's experience with Power BI and the massive dataset was positive and showcased its capabilities as a powerful data analysis and visualization tool.

If you're looking for a software solution to handle large-scale data analysis and visualization, Power BI is definitely worth a closer look.

The post I tested Power BI with a massive 5.7 million dataset, and here's what I found was originally published on Collab365.