Databases Reference
In-Depth Information
CHAPTER 4
Emerging Database
Landscape
Where do newer technologies such as columnar databases and NoSQL
come into play? How will you effectively address the impact of big data
on application performance, speed and reliability?
In the new data management paradigm and especially considering the influence
of big data, IT solutions and enterprise infrastructure landscapes may encompass many
technologies working together. Figuring out which of the several technologies are relevant
for you is not a trivial matter. In this chapter we will discuss several of these technologies
and share best practices: which data management approach is best for what kind of data
related challenges?
The ongoing explosion of data today challenges businesses. Organizations capture,
track, analyze and store everything from mass quantities of transactional, online, and
mobile data, to growing amounts of machine-generated data. In fact, machine-generated
data, including sources ranging from web, telecom network and call-detail records, to
data from online gaming, social networks, sensors, computer logs, satellites, financial
transaction feeds and more, represents the fastest-growing category of big data. High
volume websites can generate billions of data entries every month.
Extracting useful intelligence from current data volumes with mostly structured data
had been a challenge anyway; imagine the situation when you deal with big data scales!
In order to solve data-volume-related challenges, traditionally architects have
applied the below mentioned typical approaches, but each one of the approaches have
several implications:
•
Tuning or upgrading existing database resulting in significantly
increased costs, either through admin costs or licensing fees
•
Upgrading hardware processing capabilities increasing overall
total cost of ownership to the enterprise (TCO) in terms additional
hardware costs and subsequent annual maintenance fees
•
Increasing storage capacity, which sets off a recurring pattern:
put more storage capacity in direct proportion to the growth of
data add incur additional costs
