Database Reference
In-Depth Information
example, you might develop a sentiment analysis package for an application
that crunches millions of emails for a service desk application. A subsequent
project could take this asset (data harvested at rest) and transparently deploy
it to a data-in-motion application that assesses a live Twitter stream for
trending sentiment.
Finally, it's worth noting that the IBM Big Data platform is not an all-or-
nothing proposition. Quite the contrary: you can get started with a single
product, a subset of products, or the entire platform, giving you the flexibil-
ity and agility that you need to successfully deliver that initial project, and
then incrementally “up” your Big Data IQ from there. In the remainder of
this section, we discuss each of the IBM Big Data platform entry points.
Unlock Big Data
How many times have you not been able to find content on your laptop that
you knew you had? How many times have you stumbled across one file
while you were looking for another file that you had completely forgotten
about? If you can't really get a handle on the data assets that are on your own
laptop, imagine this pain point for a large enterprise! To be honest, we find
that enterprises are often guilty of not knowing what they could already
know because they don't know what they have. In other words, they have
the data, but they can't get to it. This is the pain point that's associated with
“unlock Big Data.”
This problem is compounded for organizations that have access to multi-
ple sources of data, but don't have the infrastructure to get all of that data to
a central location, or the resources to develop analytical models to gain in-
sights from it. In these cases, the most critical need might be to quickly un-
lock the value resident in this data without moving it anywhere, and to use
the Big Data sources in new information-centric applications. This type of
implementation can yield significant business value, from reducing the man-
ual effort to search and retrieve Big Data, to gaining a better understanding
of existing Big Data sources before further analysis. The payback period is
often short. This entry point enables you to discover, navigate, view, and
search Big Data in a federated manner.
Reduce Costs with Hadoop
Organizations might have a particular pain point around reducing the over-
all cost of their data warehouse. They might be retaining certain groups of
