Databases Reference
In-Depth Information
Table 3-1. ( continued )
Industry
Use Case
Big Data Characteristics
Volume
Velocity
Variety
Resources
• Smartgrid,smartmeters
ü
ü
ü
• Seismicdataanalysis
ü
ü
ü
IT Operations
• ITloganalysis
• Dataingestionof
heterogeneousdata
(structured,semi-structured,
polystructured)
• Massivewriteperformance
• Fastkey-valueaccess
• Flexibleschemaandflexible
datatypes
• Datamash-ups
ü
ü
ü
Data has stories to tell. If data could talk, we might just find out a thing
or two about how to run our businesses better. Can you see what your
data sees? Can you find out to what it knows? Can you articulate the
relationships, patterns, and trends hidden in the massive pile of data?
Some business problems are mathematically compute-intensive, others are more
data- analysis intensive, and some are a balance of both. Understanding the nature of the
problem is the key to picking the correct approach. The term “big data” is pervasive and
has been used to convey all sorts of concepts, including huge quantities of data, social
media analytics, next-generation data management capabilities, real-time data, and
much more. Whatever the label, organizations are beginning to understand and explore
how to process and analyze a vast array of information in new ways.
Many organizations are basing their business cases on the following benefits that can
be derived from big data and analytics:
Smarter decisions . Collecting and analyzing new sources of data to
not only improve the quality of decision making but also to enable
the organization to think beyond the conventional decision-
making process.
Faster decisions . Becoming agile and nimble and developing
capabilities for the organization to truly become a real-time
enterprise. In other words, the decision-making latency is
shortened.
Impactful decisions. Delivering business outcomes and business
capabilities that are truly unique differentiators.
In the subsequent sections of this chapter, we will touch upon a few use cases by industry
and understand what business problems are solved by the big data analytics platform.
 
 
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