KEEPING UP WITH EVER-EXPANDING ENTERPRISE DATA

Maclean Liu(刘相兵

KEEPING UP WITH EVER-EXPANDING ENTERPRISE DATA

EXECUTIVE SUMMARY
There is great awareness of and attention on database growth
these days. Estimates put the amount of data in existence at this
time at more than a zettabyte (or a trillion gigabytes), which
would be the equivalent of 75 billion fully loaded iPads. All this
data is streaming into and through enterprises from
transactions, remote devices, partner sites and user-generated
content. Formats vary from structured, relational data to
graphics and videos.
In addition, enterprises are mandated to retain much of this
data, and to be able to make the information available as users
require. But it’s increasingly clear that these enterprises are
having difficulties managing the growing volumes of data, and
there has also been an impact on application performance. New
research shows that companies are responding to these
challenges by throwing hardware at the problem. A new survey
of 581 members of the Independent Oracle Users Group
(IOUG), sponsored by Oracle Corporation, finds that managing
data growth is a priority for many companies, but smarter
responses are needed to address the challenge. The survey was
conducted in July and August 2010.
A majority of respondents report having performance and
budget issues due to exponential data growth. Those companies
with the highest rates of data growth, in fact, are eight times
more likely than slow-growth sites to be seeing significant
increases in their storage budgets. New processes and tools are
needed to help organizations take control of the massive
volumes of information now moving through their systems.
The IOUG survey looked at approaches being taken by
organizations to manage their growing data stores, and what
still needs to be done.
Key survey findings include the following:
Data is growing rapidly at nine out of 10 respondents’
companies, and business growth is driving this expansion in
data stores. Sixteen percent of companies are experiencing
data growth at a clip exceeding 50 percent a year. Many
companies have large numbers of both Oracle and non-
Oracle databases.
Two out of five respondents’ companies recognize the value
of information lifecycle management to better manage
storage growth. However, these are the early stages for ILM
strategies for most companies. ILM approaches are most
common at companies with high levels of data growth,
though the most common approach continues to be that of
buying new hardware to address the problem.
An overwhelming majority of respondents say growing
volumes of data are inhibiting application performance to
some degree. The problem is even more acute at enterprises
with the highest levels of data growth. However, most still
attempt to address the problem with more hardware, versus
more sophisticated/efficient approaches.
Many companies feel compelled to retain data for extended
periods of time—forever in some cases—and are having
difficulty making it accessible to end users.
Data storage budgets also keep growing. A sizable segment of
companies with fast-growing data stores spend more than
one-fourth of their IT budgets on storage requirements.

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