This article explains the distinct concepts of data domain and subject area, uses a library‑vs‑bookstore analogy, presents a real e‑commerce case, compares them in a concise table, and offers best‑practice steps and common pitfalls to help data teams design efficient data architectures.
DD Boost integrates tightly with Oracle RMAN to provide a flexible, policy‑driven backup solution that allows DBAs to manage local and disaster‑recovery sites independently, simplifies deployment via a simple plugin, and dramatically improves performance by sending only unique data blocks to Data Domain for deduplication.
The article explains how NetWorker 8.0 introduced Synthetic Full Backup, its inefficiencies with Data Domain, and how NetWorker 8.1, NetBackup, and DD Boost add Virtual Synthetics to accelerate synthetic backups by using metadata pointers instead of full data restoration.
The article explains how to create an application‑level interface group for DDBoost to aggregate multiple Data Domain IP interfaces into a private network group, achieving load balancing, fault‑tolerant data transfer, and notes performance considerations such as avoiding mixed‑capacity links.
Distributed Segment Processing (DSP) offloads segmenting, hashing, and compression to the backup host, reducing bandwidth and CPU load on Data Domain appliances, while the appliance handles fingerprint filtering and reference tracking, offering bandwidth savings but increasing host CPU usage, so it should be enabled only when host resources permit.
This article introduces EMC's DD Boost—a proprietary protocol for Data Domain that improves backup efficiency, lists the backup applications that support it, explains required TCP ports and storage unit setup, and outlines its key features such as distributed segment processing and load balancing.
