The text discusses the challenges of working with large datasets in Power BI and how CData Connectors can help overcome these issues. With increasingly demanding lines of business, organizations are struggling to access their data to gain actionable insights into performance and business health. Traditional data import options no longer work for datasets measuring 10s to 100s of Gigabytes, making it impractical to build reports on large datasets within the warehouse or database. CData Connectors provide critical capabilities that enable real-time analytics and reporting on large datasets, using features such as DirectQuery, which allows users to query live data from a data source instead of importing data into the local environment. This enables users to bypass platform-specific dataset caps, reflect underlying changes in the data in near real-time, and build reports, charts, and dashboards over very large datasets. The text also highlights the benefits of using CData Power BI Connectors for Google BigQuery, including enabling live access to data directly in Power BI reports, charts, and dashboards, and leveraging server-side computational capabilities to speed up reporting and free up client-side resources.