RESEARCH & RESOURCES

The Five Most Common Big Data Integration Mistakes to Avoid

July 31, 2015

The success of any big data project fundamentally depends on an enterprise’s ability to capture, store and govern its data. The better an enterprise can provide fast, trustworthy and secure data to business decision maker’s the higher the chances of success in exploiting big data, obtaining planned return on investments and justifying further investments. In this paper, we focus on big data integration and take a look at the top five most common mistakes enterprises make when approaching big data integration initiatives and how to avoid them.


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