Which of the following is important for achieving data integration?

Storing data in a non-redundant fashion is essential for achieving data integration because it ensures that data is consistent and accurate across different systems. When data is stored redundantly, it can lead to discrepancies, confusion, and difficulties in maintaining data integrity. Non-redundant storage means that there is a single source of truth for each piece of data, which simplifies data management and reduces the risk of errors during data integration processes.

Additionally, non-redundant data storage facilitates easier data sharing and retrieval among various applications and systems, enabling seamless integration. It helps organizations maintain a coherent view of their data, which is crucial for effective decision-making and analysis. This clarity in data management supports compatibility and interoperability between different systems, which is a fundamental aspect of data integration.