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Copy data management is based on the idea that there are multiple copies of an organization's data. For example, a database might exist on a production server, while a copy of that same database also resides on a development server. Copy data management seeks to eliminate redundant copies of data and replace them with virtual copies. There are direct costs associated with storing data, so eliminating data redundancy directly saves money.
Copy data management allows everyone to work from a single copy of the data. Mechanisms such as differencing disks are used to protect data integrity. If someone on the development team, for example, made a change to a database schema, that change would be written to a differencing disk dedicated to the development team's "copy" of the data. As such, the schema update would only apply to the development team and would not impact the production copy of the database or any other database copies.
On the surface, copy data management seems like a good idea -- and it is. But some observers believe creating data redundancy is a bad practice. At their core, backups are redundant data copies. As such, copy data management and backups can be at odds with one another.
But copy data management and backups have the potential to complement each other nicely. But if both technologies are to be used, an organization must limit data redundancy rather than eliminate it. Data redundancy is necessary for disaster recovery. When properly configured, copy data management allows for point-in-time recovery. However, backups based on copy data management can fail miserably if the one and only data copy becomes damaged. In that situation, there is no secondary copy of the data that can be used to restore the primary copy.
Copy data management benefits include storage space savings
Be careful when using copy data management for backup
Creating redundant backup copies can be simple
Dig Deeper on Data reduction and deduplication
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