Database Reference
In-Depth Information
Chapter 14
Big Data in the Real World
What You Will Learn in This Chapter
• Finding Out How Key Industries Use Big Data Analytics
• Understanding Types of Common Analysis
• Making Analytics Operational in Your Organization
This topic has covered numerous solutions so far. This chapter focuses on
how the industry leverages these solutions, for example, how the
telecommunication industry is planning new development based on
customerusagedatatheyarecrunchinginnewways.Thischapterwillinspire
you and provide ideas (from real-world implementations) for implementing
the big data techniques you have learned. Remember, as well, that your
clients and employers expect you to “know” these new technologies, so
coming to the project table with implementation ideas, in addition to the
basic skills, will make you a more valuable team member.
Another concept this chapter covers is how to fail fast . After all, a significant
benefit of these new technologies is that they provide for quick prototyping
andtestingcycles,whichinturnallowyou,fasterthaneverbefore,toredirect
efforts away from unproductive avenues to more productive solutions.
Companies are trying continuously to enhance their analytic capabilities,
and through failing and redirecting more rapidly you can help them get
to the right solution faster and with less overhead in the process. To start
this discussion, let's review some common industry sectors that apply these
techniques.
Common Industry Analytics
Industries that use these types of big data analytics include
telecommunications, energy, oil and gas, retail, companies that sell data as
a service, IT organizations, and large hosting companies such as Rackspace
and GoDaddy. In addition, just about every industry's marketing department
isinterestedinthingslikesocialsentimentandmeasuringtheirbrandimpact
and presence/influence, as discussed later in this chapter.
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