Description: Zonal Data Management refers to a set of practices focused on the organization, storage, and analysis of data within a specific geographic or thematic zone. This approach allows organizations to manage large volumes of data more efficiently, facilitating access and analysis. Zonal Data Management is based on segmenting data into defined areas, which helps optimize query performance and improve data quality. Additionally, this method enables organizations to comply with specific regulations related to data localization, ensuring that sensitive information is handled according to local regulations. The main characteristics of Zonal Data Management include the ability to perform geospatial analysis, the integration of data from various sources, and the enhancement of data-driven decision-making. In a world where the amount of data generated is increasing, Zonal Data Management becomes an essential tool for organizations looking to maximize the value of their information and improve their competitiveness in the market.
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