[Hadoop Hong Kong & China]
Big data is a collection of data sets so large and complex that it becomes difficult to process using traditional data processing applications. The challenges include capture, curation, storage, search, sharing, transfer, analysis, and visualization. Big data is requiring instead exceptional technologies that efficiently process large quantities of data.
"For some organizations, facing hundreds of gigabytes of data for the first time may trigger a need to reconsider data management options. For others, it may take tens or hundreds of terabytes before data size becomes a significant consideration." - Jimmy Guterman
Hadoop is the de facto standard framework for big data processing, by making all of your data usable, not just what’s in databases, Hadoop lets you see relationships that were hidden before and reveal answers that have always been just out of reach.
Cases of Hadoop Applications:
Hadoop delivers several key advantages:
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