Data integration technologies have a critical role to play in delivering on the potential of ‘big data,’ by ensuring that emerging data processing and analysis technologies work well with each other, and also with more established approaches.
The roles of established data management techniques – such as data governance, data quality and master data management – gain even greater significance given the desire to process and analyze data from previously ignored sources.
By adopting an approach we call ‘Total Data Integration,’ a company not only gets a complete picture of its business, customers and products, but it can derive new insights that weren’t possible when only structured data was brought into the mix.
The latest long-format report from the Information Management team – Total Data Integration – outlines the key drivers shaping this sector and highlights the role that integration and governance technologies will play in enabling the analysis of structured, semi-structured and unstructured data.
It explains how established vendors and emerging startups alike are responding to the increased complexity of Total Data analytics by enabling integration of these various data sources. The report also explores new approaches to data integration, including the role of Hadoop.
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