Data Integration: Profound Impact on Big Data and Application Development

How Does Data Integration Influence Big Data?

The mutual shaping of Big Data and Data Integration is an important development in contemporary information technology. The voluminous nature of Big Data – characterised not only by its sheer mass but also its variety – necessitates sophisticated approaches in Data Integration. Horizon-scanning data integration platforms must deal with structured and unstructured data, and draw insights from the sheer aggregation and fusion of such colossal magnitudes of information. It's this function which profoundly enhances the utility and potential of Big Data.

How Does This Impact Application Development?

Such unified data processing profoundly reshapes the landscape of app development. Primarily, it accelerates the development processes. With unified data access, developers need not chunk their workflows to handle piecemeal data sources. Furthermore, it significantly reduces the risk of data inconsistency, which can potentially be a formidable bottleneck during application testing.

What's the Broader Implication?

The broader implication for businesses is the augmentation of agility and adaptive capacity. Decision-making processes can be significantly accelerated, with access to comprehensive, consistent, and real-time data. Markets are inherently dynamic, hence, any reduction in decision-making latency has substantive competitive implications. Consequently, data integration, while it might be an intermediate process in the value chain, has profound implications reaffirming its strategic importance.