
This masterclass highlights the challenges of managing data from multiple sources like data lakes, databases, and APIs, resulting in a lack of a single source of truth and complex transformations. Python struggles with scalability for these tasks due to its single-threaded nature. The module introduces PySpark as an efficient alternative, leveraging distributed computing for scalable, fast data processing, ensuring consistency and a unified data foundation.