Cross-platform integrations: Does this solution integrate with other relevant data platforms? Can you connect your CRM and/or ERP platforms to optimize those data sets?.
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More on How Deduplication Works: Networking 101: Understanding Data Deduplication Important Deduplication Software Featuresīefore your organization selects a deduplication product for your network optimization goals, ask yourselves the following questions: Global deduplication is when deduplication efforts are applied across all nodes on a network, ensuring the most accurate, comprehensive deduplication results. Local deduplication is when deduplication happens in only one node, without consideration for duplicate data in other network nodes. This process is often faster than inline deduplication, but it requires additional storage space to complete.
Post-process is the type of target deduplication that takes place after the backup has been written to disk or tape. It requires less overall storage space than post-process, but it often takes longer to complete the backup process. Inline is the type of target deduplication in which dedupe happens before the backup copy is written on disk or tape. It’s usually easier to deploy than source deduplication and comes in two different subcategories: inline deduplication and post-process deduplication. The more common of the two deployment location approaches, target deduplication deduplicates data after it has reached the backup system. This approach takes less time and uses less bandwidth, but it requires more processor resources and is typically more difficult to implement than target deduplication. One of two locations where deduplication software can be deployed, source deduplication is where data is deduplicated in primary storage before it travels to the backup system. This means that the blocks can all come in different lengths, but are divided based on their unique properties. The variable approach to block-level deduplication uses context when breaking data into blocks. Fixed deduplication saves unique blocks and eliminates duplicate blocks simultaneously. This type of block-level deduplication breaks data into blocks of all the same size, with little to no regard for the actual contents of each block.
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Block-level deduplication tends to free up more space than file-level deduplication.
This approach gets more granular than file-level deduplication, finding and reducing matching blocks of data, regardless of the different files where they’re found. The simplest type of deduplication, this approach eliminates duplicate file copies, leading to single instance storage (SIS). In other instances where the data previously existed, the process of data deduplication creates pointers that direct users toward the remaining copy that matches what they’re looking for.ĭepending on the tools you use and the results you’re hoping to achieve, different types of deduplication will help you to eliminate redundant data across your network: File-Level Deduplication Deduplication software works to find these duplicate file or data instances and eliminate the excess so that there is one master copy. With a large number of users, hardware, and software distributed across a network, most enterprises will find that several dozen copies of the same file or data set exist on the network and take up unnecessary storage space.
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