IBM Systems Magazine, Power Systems - December 2017 - 7
receiving the data-and in some
cases, need to do additional number crunching to analyze it.
Several years ago, a metadata
layer approach, which offers
a way to shield report authors
from the complexities of the
underlying database, emerged.
By implementing a solution with
a metadata layer, you're shifting
the role of building reports to
advanced end users outside of
IT and creating an enterprise
approach to data access (ensuring security, standardization
and "single version of the truth"
concepts). The business analyst
job title has emerged, and the
metadata approach enables them
to spend more time analyzing
data without a dependency on IT.
An even newer job title has been
appearing lately: the data scientist.
Part of this is because of the rise
of unstructured data (e.g., tweets).
While this is mostly happening
in larger enterprises, even smalland medium-size businesses are
looking for data-centric analysis or
What is data discovery? Think
of it this way: Traditional report
writing consists of laying out
what data elements will be seen
by the consumer of the report.
With data discovery, all data
elements are available to the data
analyst in real time so they can
dynamically add, remove, filter
and immediately visualize trends
to glean "ah-ha" moments from
A pitfall of this new trend is
that it can leave the user in a state
where they are crunching the data
more often than analyzing it. Data
discovery can also leave individual
analysts with different "versions
of the truth." An effective data
discovery effort needs to be integrated into the reporting metadata
layer. An example of this kind of
integrated approach is the new
InfoAssist+ feature of Db2 Web
Query that allows you to leverage its metadata and
access capabilities instead of offering a completely
independent tool for that function.
Accessing Cloud Services
IBM, in conjunction with COMMON, recently
hosted an inaugural workshop called "IBM i
Driveway to Watson-Rev Up
Your Business Applications."
The goal of the session was
to provide real examples and
hands-on labs around integrating IBM i applications and data
with Bluemix*, which is IBM's
ibmsystemsmag.com DECEMBER 2017 // 7