Data Deduplication Simplified !!
Let’s consider a real life day to day scenario
Consider an email server that contains 100 instances of the same 1 MB file attachment, for example a Corporate Profile presentation of your Organization with graphics that was sent to everyone.
Without data duplication Imagine, if everyone backs up his email inbox:
- All 100 instances of the presentation are saved, gobbling 100 MB storage space!!!
Now , with data deduplication, only one instance of the attachment is actually stored; each subsequent instance is just referenced back to the one saved copy, reducing storage and bandwidth demand to only 1 MB.
Deduplication is eliminating redundant data in a data set. In the process of deduplication, extra copies of the same data are deleted, leaving only one copy to be stored. Data is analyzed to identify duplicate byte patterns to ensure the single instance is indeed the single file. Then, duplicates are replaced with a reference that points to the stored chunk.
· Data deduplication evolves to meet the need for speed
Early breakthroughs in data deduplication were designed for the challenge of the time: reducing storage capacity required and bringing more reliability to data backup to servers and tape.
As data deduplication efficiency improved, new challenges arose. How do you backup more and more data across the network, without impacting overall network performance? With this step forward, deduplication became more than simply storage savings; it addressed overall performance across networks, ensuring that even in environments with limited bandwidth, data had a chance to be backed up in a reasonable time.
· Data deduplication offers a new foundation for data governance
Data deduplication plays a more strategic role than simply saving on storage costs, today, as cloud adoption reaches a tipping point and companies have begun moving their data storage to a virtual cloud environment, In combination with cloud-based object storage architecture, efficient data deduplication is opening up new opportunities to do more with stored data.
Also, being able to understand and analyze data in common among a set of users helps IT understand data usage patterns and further optimize data redundancies across users in distributed environments.
Today advanced data deduplication is helping address two competing forces that threaten to impede fast-growing enterprise businesses today: managing the massive increase in corporate data created outside the traditional firewall and solving for the growing need to govern data across its lifecycle by timezone, user, devices and file types.
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