NETWORK WORLD NEWSLETTER: MIKE KARP ON STORAGE IN THE ENTERPRISE
11/11/04
Today's focus:  The half-life of data

Dear [EMAIL PROTECTED],

In this issue:

* The changing value of data
* Links related to Storage in the Enterprise
* Featured reader resource
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Today's focus:  The half-life of data

By Mike Karp

It is often tempting to assign terms from physics to areas where 
they don't really belong.  For example, occasionally we hear the 
term "data half life," which should indicate a predictable decay 
rate that goes on forever for the value of data. 

If the value of data truly had a half-life however, data would 
decrease in value at a steady rate until such point that it has 
no value at all (actually of course, like one of Xeno's 
paradoxes such constant "halving" can never reach a zero-point, 
but the principle works).  With some data, particularly data 
that must conform to regulatory requirements, that just doesn't 
happen. Regulated data must often be capable of being recalled 
within a set amount of time, must be auditable, and so forth.  
Old data may never be accessed, but it must be capable (and 
provably so) of being accessed whenever the need arises.

That being said, the value of most data changes over time, and 
despite the fact that not all data changes at the same rate we 
can make several useful generalizations about these changes.  
This occurs because the value attached to certain kinds - or 
classes - of data changes in predictable ways.

Consider, for example, the case of a company's sales data. The 
current month's sales figures, because they define business 
success, merchandise ordering, commissions, accounts receivable 
and so forth, are always going to be high-value data by just 
about anybody's standards. 

As this data ages however, it typically diminishes in value.  
When this information becomes last month's sales figures, it may 
find use in month-over-month comparisons; it may feed into the 
general ledger and accounts payable, as merchandise has to be 
ordered to fulfill orders.  As the quarters roll past, the value 
of a month's sales data typically diminishes further and users 
refer to it with lessening frequency.  Beyond a year, it may be 
of interest only to internal accountants and outside auditors.

A similar sort of pattern of changing data value can be 
identified for most data that lies outside a database (often 
referred to as "unstructured" data). Unfortunately, however, 
unstructured data by its very nature is often hard to manage 
because it is challenging to categorize. Most times it is simply 
tagged by file type, dealt with by file type, and there, 
essentially, is where management ends.

Obviously if the value of data lessens over time, data that was 
once deserving of high priority services and the very best 
storage assets available logically becomes less deserving as the 
data ages. Any time budgets are constrained (and when are they 
not?) maximizing the use of what assets you do have becomes all 
the more important.

This understanding of the changing state for data value is the 
fundamental reason many IT sites are going in the direction of 
information lifecycle management (ILM).

ILM is still a developing concept, but there is already much to 
be said for it (and indeed, in this column much already has been 
said about it).Unfortunately, many people still assume that ILM 
is hierarchical storage management (HSM) warmed over for the new 
millennium.  In this they are dead wrong.

HSM works fine when the concept of data half-life is applicable. 
After all, its only concern is demoting data so that less 
valuable data doesn't overflow the capacity of our high-end 
storage systems. But HSM misses the boat when it comes to 
retrieving data quickly and efficiently. Be assured your 
auditors aren't going to be impressed that you have 
cost-effectively archived data to tape; what they will want is 
to see if you can retrieve and protect your data according to 
whichever laws or regulations apply.

This calls for a far more complex management scheme than simply 
moving data down the storage food chain to cheaper devices. For 
compliance you will require some policy-driven mechanism that 
understands how the value of your data changes over time, that 
migrates the data to the appropriate storage device 
automatically, that keeps track of every transaction involving 
the data, and quite a bit more besides.

If you are not already aware of how the data you manage changes 
in value, you might begin by checking the service-level 
agreements for which you are responsible.
_______________________________________________________________
To contact: Mike Karp

Mike Karp is senior analyst with Enterprise Management 
Associates, focusing on storage, storage management and the 
methodology that brings these issues into the marketplace. He 
has spent more than 20 years in storage, systems management and 
telecommunications. Mike can be reached via e-mail 
<mailto:[EMAIL PROTECTED]>.
_______________________________________________________________
This newsletter is sponsored by Cisco Systems 
Special Report:  Bridging the Gap; Enterprise ROI 

IT professionals today don't indulge in the latest-greatest 
technology for their own sake; instead they concentrate efforts 
on projects that are most likely to help achieve business goals. 
Read about the challenges and opportunities when IT starts 
'bridging the gap' and directly contributes to enterprise ROI. 
http://www.fattail.com/redir/redirect.asp?CID=88019
_______________________________________________________________
ARCHIVE LINKS

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Breaking storage news and analysis:
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