Handling large and complex datasets
Power BI is an excellent tool for data visualization and analysis, but what happens when you’re dealing with big data?
When datasets become massive, challenges arise in terms of performance, data modeling, and query optimization.
In this section, we’ll explore best practices for handling big data within Power BI, ensuring that you can still unlock valuable insights without compromising performance.
Understanding big data
Big data typically refers to datasets that are too large or complex for traditional data processing applications. These datasets often exceed the capacity of conventional software and may include various data types, such as structured, semi-structured, or unstructured data.
Challenges of working with big data in Power BI
When dealing with big data in Power BI, several challenges emerge:
- Performance: Large datasets can slow down report generation and visualization. Users expect responsive dashboards...
