Chapter 19: Big data Analysis to Categorize Agricultural Land According to Climatic Information

The realm of analytics is rapidly transforming with the growing and changing scope of big data. This constantly evolving field offers both huge challenges and business opportunities due to the sheer volume and structure of data being generated. Big data refers not just to the large amounts of data, but also the entire process of collecting, storing, and analyzing it, with the goal of improving the world (Dugane & Raut, 2014). The term big data is relatively new and emerged in the latter part of the last decade, but its significance to various companies has become clearer.

Big data comes in many different forms and variations, with the most obvious difference being between structured data (organized in rows, columns, and fields like operation records), unstructured data (with no uniform format [Fisher et al., 2012]), and semi-structured data (having a partial format that allows for specialized processing, but still considered unstructured). The key objective is to create a method for identifying differences, enabling comparison, and comparison of different sets of big data (Arunachalam et al., 2023).