Loading content
Data storage covers concepts, technologies and practices for persistent retention of digital information. It includes storage types (block, file, object), consistency and redundancy strategies, access patterns, backup, replication, scalability and cost considerations for on-premises, distributed or cloud-based environments. Robust storage architectures balan…
Use this profile to understand the building block briefly, place it in the model, and switch to the 360° assessment when needed.
Theoretical construct: explains a term, principle, or mental model.
What you need to understand to reason about a domain.
Data storage means the persistent retention of digital information in media, systems, and operating processes. The concept covers storage types, protection mechanisms, and operational decisions so data can be kept reliably, read, backed up, and recovered when needed.
Data storage arose from the practical problem of keeping digital information available beyond process and machine boundaries. As data volumes and distributed applications grew, volatile memory was no longer enough; storage types, redundancy, replication, backup, and cost control became separate architectural concerns. Today the term connects media, systems, and operational practices across on-premises, distributed, and cloud environments.
Think of data storage as a layered repository: the medium sits at the bottom, the access model above it, and management logic on top. Block, file, and object storage determine how data is addressed. A control layer distributes copies, checks integrity, organizes backup and recovery, and keeps the system scalable. Design and operations balance latency, availability, and cost.
Block, file, and object storage differ in how data is addressed, organized, and consumed.
Data remains available after a process ends or a system restarts.
Multiple copies reduce the risk of data loss and service failure.
Stored data should remain uncorrupted and be in a coherent state.
Reads, writes, small objects, and large sequences place different demands on layout and performance.
Backups and restore procedures make data usable again after errors, deletion, or corruption.
Data storage is central to architecture decisions for databases, object stores, backups, archiving, and cloud use. It helps when availability, latency, protection requirements, and cost must be balanced. The right solution depends on access patterns, data lifetime, and recovery targets; more redundancy and more copies usually increase operational effort, complexity, and cost.
Where this building block is located in the topic model.
No structure path available.
Explore how this building block connects to concepts, methods, technologies, and tools.
These sources establish the term and its professional meaning.
All direct connections of the current building block in a compact text view.
This classification shows where the building block typically matters, how demanding it is, and what kind of impact it has in the model.
The level within the organization (enterprise, domain, team) at which the AssetBlock is applied.