Abstract
In the digital age, data has become a cornerstone of modern society, driving decision-making processes across industries and sectors. As such, understanding the fundamentals of data processing and modeling is crucial for professionals in various fields, from business analytics to artificial intelligence development. This chapter serves as an introductory guide to these essential concepts. The chapter begins by elucidating the significance of data processing in today's information-driven world. It explores the evolution of data processing techniques, from traditional batch processing to real-time data streams, highlighting the challenges and opportunities presented by each paradigm shift. Subsequently, the focus shifts to data modeling, a fundamental aspect of structuring and organizing data for analysis and interpretation. The chapter delves into the principles of data modeling, elucidating concepts such as entities, attributes, relationships, and normalization.