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Enterprise architects and data governance specialists have proposed the capture and effective use of metadata for enterprise benefits. One of the many purposes of capturing metadata is to identify data lineage from the systems of record to the system...
There is a pressing need to integrate, design, deliver and analyze data across the entire enterprise to realize greater business value.
There has been a recent trend of the digression from traditional SDLC model which is bringing more importance to the need of harmonization between enterprise data and social data. It not only proof points the use cases but also ensures that MVPs are ...
Data scientists strive to deliver insights on the available data. In order to leverage the insights thus obtained, it is essential to simplify the insight-delivery framework. 
In the Big Data environment, stakeholders and IT professionals are endeavoring to glean new approaches to traditional techniques along with consistent collaboration to effectively address the analytics arena. Learn about the use case scenario methodo...
Big Data is clearly a priority for adoption, but despite positive POCs, organizations are concerned about certain possible impediments which can be addressed by hybrid architecture. Learn about the different layers which work together to create this ...