Data Synchronization
Data synchronization is something that most
people benefit from every day without even
realizing what data synchronization is or how
data synchronization benefits their lives and
makes their dealings with technology much more
simple and streamlined. Data synchronization
is basically the process of ensuring that the
data on remote sources is consistent and that
there is consistency and harmony through the
remote sources over time. Data synchronization
is seen in many different forms including data
synchronization of applications, data synchronization
of files, personal digital assistant synchronization,
and even public key server data synchronization.
Many people use data synchronization every
day when they "hot sync" their phone
or PDA. Data synchronization is a daily
occurrence for a lot of people, and they don't
even know that they are utilizing the data
synchronization technology.
More on Data Synchronization
There are many different theoretical models
for data synchronization that you can read
about and learn about in data synchronization
literature. Each person who works with
data synchronization goes about it differently
or looks at data synchronization differently,
using the model that works best for them. The
type of data synchronization that one chooses
also depends on the data that is being dealt
with, the remote servers that are being dealt
with, and more. Data synchronization
is not always straight forward as every data
synchronization is unique and the data synchronization
specialist needs to take it one problem at
a time.
Unordered data synchronization is the synchronizing
of unordered data; just as the name unordered
data synchronization would indicate. The
problem in unordered data synchronization is
to compute a symmetric difference between two
remote sets of bit numbers. Unordered
data synchronization can be resolved in many
ways including wholesale transfer data synchronization
where all of the data is transferred to one
host for a comparison. Other solutions
may be a timestamp data synchronization where
all data is marked with timestamps and mathematical
data synchronization. Mathematical data
synchronization works because the data is viewed
as mathematical problems and the data synchronization
is simply a part of the mathematical process.
Then there is ordered data synchronization. In
ordered data synchronization two remote strings
of data need to be reconciled. With ordered
data synchronization the idea is to edit the
character insertions, deletions, and modifications. With
ordered data synchronization the edit distance
between the two remote data sources needs to
be reduced, ideally to a distance of zero. There
are many ordered data synchronization solutions
such as Microsoft Sync Framework and rsync. In
addition, ordered data synchronization can
be resolved with shingling. Shingling
is a term used in data synchronization that
refers to the splitting of the strings into
different shingles, as this reduces the problem
into an unordered data synchronization problem
instead of an ordered data synchronization
problem.
Data synchronization is something that needs
to take place to ensure that data can be moved
from one source to another or from one system
to another and still be usable. Data synchronization
is often a part of a bigger data solution including
data migration, data transfer, and data warehousing. |
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