Description: Unconventional data refers to those sets of information that do not conform to traditional formats or structures, such as relational databases. This data can include unstructured text, images, videos, sensor data, social media logs, and more. It is often characterized by its diversity, volume, and speed of generation, making it difficult to manage with conventional analysis tools. The importance of unconventional data lies in its ability to provide valuable insights and perspectives that cannot be obtained from structured data. In a world where data-driven decision-making is crucial, the ability to analyze and extract value from this unconventional data has become essential for organizations. Data observability, a concept that refers to the ability to monitor and understand the state of data within a system, becomes especially relevant in this context, as it allows companies to identify issues, optimize processes, and improve the quality of unconventional data.
