After all the hype around Apache Hadoop, we are starting to see some successful implementations that highlight its benefits. However, we do not yet see the kind of enterprise adoption typically associated with a technology that promises to manage high volumes, reduce implementation costs and, more importantly, monetize data. The question is why?
The increased volume, variety and velocity of “big data” have strained the conventional data processing technologies used for the data management life cycle. In response, many solutions have evolved to address these challenges. One key technology is Apache Hadoop, open source software used for reliable and scalable distributed computing.
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