Big Data is comprised of structured and unstructured data being generated
by social networks and the internet of things (IoT), personal electronics
and apps, marketing questionnaires, product purchases, and so much more.
The expansion of IoT, connected devices and people is generating volumes
of data that is exceeding the storage capacity of traditional database
systems. […]
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With Big Data comes big challenges, including:
– The inability to quickly and easily access all types of data, locked
within storage silos, in order to perform business analysis and
reporting.
– Time, cost and resource consuming extract, transform, load (ETL)
processes which also inhibits near real-time analysis.
– IoT data sets are unstructured and without business context, often in
formats that are not suitable for storing in relational database tables
or for querying using relational query semantics. …
