Data deduplication tools

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Data Deduplication can effectively minimize the costs of a server application's data consumption by reducing the amount of disk space consumed by redundant data. Before enabling deduplication, it is important that you understand the characteristics of your workload to ensure that you get the maximum performance out of your storage. There are two classes of workloads to consider:. If you are running a recommended workload, you can skip this section and go to Enable Data Deduplication for your workload.

To determine whether a workload works well with deduplication, answer the following questions. If you're unsure about a workload, consider doing a pilot deployment of Data Deduplication on a test dataset for your workload to see how it performs.

Does my workload's dataset have enough duplication to benefit from enabling deduplication? DDPEval can evaluate the potential for optimization against directly connected volumes including local drives or Cluster Shared Volumes and mapped or unmapped network shares. Running DDPEval. All Rights Reserved. What performance do I have for my workload? Data Deduplication optimizes files as a periodic job, rather than when the file is written to disk.

As a result, it is important to examine is a workload's expected read patterns to the deduplicated volume. Because Data Deduplication moves file content into the Chunk Store and attempts to organize the Chunk Store by file as much as possible, read operations perform best when they are applied to sequential ranges of a file. Database-like workloads typically have more random read patterns than sequential read patterns because databases do not typically guarantee that the database layout will be optimal for all possible queries that may be run.

Because the sections of the Chunk Store may exist all over the volume, accessing data ranges in the Chunk Store for database queries may introduce additional latency. High performance workloads are particularly sensitive to this extra latency, but other database-like workloads might not be.

These concerns primarily apply to storage workloads on volumes made up of traditional rotational storage media also known as Hard Disk drives, or HDDs. Therefore, deduplication will not introduce the same amount of latency for reads to a workload's datasets stored on all-flash media as it would on traditional rotational storage media. What are the resource requirements of my workload on the server?

Because Data Deduplication uses a post-processing model, Data Deduplication periodically needs to have sufficient system resources to complete its optimization and other jobs. This means that workloads that have idle time, such as in the evening or on weekends, are excellent candidates for deduplication, and workloads that run all day, every day may not be.

Workloads that have no idle time may still be good candidates for deduplication if the workload does not have high resource requirements on the server. What's new in this version 1.

Features Quickly find duplicated files Auto-select or manually select files for deletion. Additional information Published by Santolibre. Published by Santolibre. Approximate size Age rating For all ages. This app can Access your Internet connection. Permissions info.

Installation Get this app while signed in to your Microsoft account and install on up to ten Windows 10 devices. Language supported English United States. Publisher Info Deduplicator website Deduplicator support. Additional terms Deduplicator privacy policy Terms of transaction. Seizure warnings Photosensitive seizure warning. Report this product Report this app to Microsoft Thanks for reporting your concern. Our team will review it and, if necessary, take action.