General Data Processing

Handling data efficiently is the cornerstone of any data-driven application, forming the basis for tasks ranging from simple data entry to complex machine learning pipelines. In this chapter, we’ll explore the principles and techniques of common data handling, covering essential operations such as data collection, cleaning, transformation, and storage.

By mastering these foundational processes, you’ll be equipped to manage data with precision and prepare it for advanced analysis or integration into AI models. Whether dealing with structured or unstructured data, understanding these handling techniques ensures that your data remains accurate, accessible, and ready for insight generation.