In other words, somebody entered it into an application. Because this
was a manual process, the cost of acquiring that data was high. Today,
with the proliferation of devices and the near universal connectivity
to the Internet, data acquisition can be more easily automated, which
drastically reduces the cost of acquiring data.
Video
Michael Otey gives an
overview of Big Data
trends
Another factor driving the growth of Big Data is the emergence of
new technologies such as Hadoop that enable organizations to process
and analyze large amounts of unstructured data in ways that weren’t
previously possible. With Hadoop, a mainframe or supercomputer
isn’t required to wade through all the data. Instead, you can parse
the processing tasks out to a number of standard x86 compute nodes
where each node processes a portion of the query and the results are
joined together. You can think of Hadoop as data warehousing for
unstructured data. Microsoft recently released a Windows version of
Hadoop called the HDInsight Server.
Right now, Big Data and SQL Server are different islands of computing. SQL Server uses T-SQL to process queries over its relational
