Letting data speak for itself through analysis of entire data
sets is eclipsing modeling from subsets. In the past, all too
often what were once disregarded as "outliers" on the far edges
of a data model turned out to be the telltale signs of a
micro-trend that became a major event. To enable this advanced
analytics and integrate in real-time with operational processes,
companies and public sector organizations are evolving their
enterprise architectures to incorporate new tools and approaches.
Whether you prefer "big," "very large," "extremely large,"
"extreme," "total," or another adjective for the "X" in the "X
Data" umbrella term, what's important is accelerated growth in
three dimensions: volume, complexity and speed.
Big data is not without its limitations. Many organizations need
to revisit business processes, solve data silo challenges, and
invest in visualization and collaboration tools to make big data
understandable and …[Read more]