What is the maximum data size you have processed in practice?

In practice, the maximum data size processed heavily depends on the task, infrastructure, and tools used. For example, in Python projects, data ranging from a few megabytes to hundreds of gigabytes are often handled.

For processing large volumes of data (tens to hundreds of gigabytes), techniques such as:

• Using streaming or batch processing with libraries like pandas with chunking or Dask.
• Storing data in efficient formats (Parquet, HDF5).
• Distributed computing with Spark or other frameworks.

For instance, I worked with a dataset of about 100 GB, using Dask for parallel processing and analysis, which allowed me to work efficiently with the data without loading it entirely into memory.