The volume of information in the world is growing, and thus
the necessity for formidable storage is as well. Big data and mobility have been causing
massive storage problems, and the only remedy thus far is a good system in
place for data reduplication. In short,
it is a process in which only the important parts of a file or “block” are
saved to limit the space a file consumes.
This is necessary to save on storage costs, disk expenditures, and
maintenance.
What exactly is data reduplication?
It is a modern procedure that is a form of file
compression. Much like “zipping” a file,
data reduplication allows for a large amount of facts to be stored in a very
refined space. It is used in a variety
of ways. Not only does it cut storage
space, it can also decrease the size of a file being transmitted. Basically, data reduplication breaks the file
up into chunks of bytes (i.e. byte patterns), then it analyzes there
importance, and stores them based on that analysis. If the program identifies a piece of data
that is a duplicate, it saves the information in a different way than if the
data were original. When a repeat
occurs, and not remit the same information, the program will assign a
specific number or code to the duplication for reference. Thus the amount of data is greatly reduced,
as is the space it takes up.
Compression styles
Binary code was originally developed from Morse code, and
that is what basic file compression is based off of. Small strands of repeat data are analyzed and
compressed. A tag is then assigned to
the minute data sets.Single-instance storage (SIS) is another form
of basic compression. This process,
however, only looks for exact copies of files and stores them accordingly. Despite the fact that duplicate files happen
frequently, more often than not, a slight change to a file, like a revision of
a paper, is what occurs. In this
instance, a data deduplication program makes much more sense. A dedupe process looks for large blocks of
data and analyzes the small changes. It
then assigns a tag to just the slight differences, rather than a string of
repeat data.
Applications for data deduplication
The process of data deduplication can be useful to anyone. It is particularly useful for highly
redundant applications. This includes
jobs like backing up a system, which requires repetitive data sets and
copies. It can also be used in
conjunction with e-mail. Rather than
transmit the same attachment multiple times when responding, it will identify
and transmit the attachment once only.
In some cases, 100MB can be reduced to just 1 MB. However, some issues should be duly
noted. Media files, for one, are very
difficult to deduplicate. Hash
collisions can be another common occurrence.
This is when the data deduplication process fails to recognize unique
data and tags it wrong. This is becoming
a rarer issue, however, as newer technologies and software are developed.
As the world changes and develops, so do the solutions set
in place to accommodate the growing numbers.
Simple file compression is no longer an acceptable solution for big
data. Information must be analyzed now
in massive chunks of bytes, rather than small data sets. It is a wise choice for any business to adopt
a form of compression that will save money on storage and disk space. Data deduplication is a useful business
application that can serve any size organization.
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