In the context of big data, $...$

Question $4$ options:

"Python" is the programming language frequently used for big data analytics due to its libraries and frameworks.

The process of detecting and correcting $($or removing$)$ corrupt or inaccurate records from a dataset is called "Data Cleansing".

To analyze and understand the emotions and opinions expressed in textual data such as reviews, social media posts, and feedback is called "Sentiment Analysis".

The process of analyzing and processing data in real$-$time as it is produced or received is called "Steam Processing".

All of the above.