Description: The mapping strategy in data processing refers to the approach taken to transform data from one format to another, facilitating the integration and processing of information from various sources. This technique allows users to define how data should be transformed and structured before being sent to its final destination, such as databases, storage systems, or analytics tools. The mapping strategy is essential to ensure that data is consistent and useful, as it enables the normalization and adaptation of information to the specific requirements of each application. Through flexible configurations, users can specify which data fields should be transformed, how they should be renamed or restructured, and what type of format they should adopt. This not only improves data quality but also optimizes system performance by reducing processing load in later stages. In an environment where data is generated at an accelerated pace and comes from multiple sources, the mapping strategy becomes a crucial tool for efficient information management, allowing organizations to make data-driven decisions based on accurate and well-structured data.
