What is the maximum volume of data you have processed in your projects?

The amount of data that can be processed and written to a database depends on the project architecture, the database used, and code optimization. In my projects, I have worked with volumes ranging from a few thousand to millions of records.

To efficiently write large volumes of data, techniques such as:

• Batch insertions to reduce the number of queries.
• Using transactions for integrity and performance.
• Indexing and schema optimization.
• Asynchronous processing and task queues for load distribution.

For example, when loading a large CSV file with millions of rows into PostgreSQL, the COPY command can be used for fast data loading.