Data Management Glossary nnn
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A
- Active Storage
- Adaptive Data Management
- AI Agents
- AI and Corporate Data
- AI Compute
- AI Data Extraction
- AI Data Governance
- AI Data Ingestion
- AI Data Leakage
- AI Data Management
- AI Data Pipelines
- AI Data Preparation
- AI Data Workflows
- AI Inferencing
- AI Infrastructure
- Air Gap
- Alternate Data Streams (ADS)
- Amazon (AWS) S3 Intelligent Tiering
- Amazon FSx
- Amazon Glacier (AWS Glacier)
- Amazon S3 (AWS S3)
- Amazon S3 Glacier Instant Retrieval
- Amazon Tiering
- Analytics-driven Data Management
- Application Programming Interface (API)
- Archival Storage
- Archiving
- Artificial Intelligence (AI)
- AWS DataSync
- AWS Lambda
- AWS Snowball
- AWS Storage
- Azure Data Box
- Azure NetApp Files
- Azure Storage
- Azure Tiering
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C
- Capacity Planning
- Carbon footprint
- Carbon Usage Effectiveness
- Chain of Custody
- Chargeback
- Checksum
- Cloud Archiving
- Cloud Cost Optimization
- Cloud Costs
- Cloud Data Analytics
- Cloud Data Growth Analytics
- Cloud Data Management
- Cloud Data Migration
- Cloud Data Storage
- Cloud File Storage
- Cloud Migration
- Cloud NAS
- Cloud Object Storage
- Cloud Storage Gateway
- Cloud Tiering
- CloudPools
- Cold Data
- Common Internet File System (CIFS)
- Compression
-
D
- Dark Data
- Data Analytics
- Data Archiving
- Data Backup
- Data Center Consolidation
- Data Center Emissions
- Data Classification
- Data Curation
- Data Governance
- Data Hoarding
- Data Indexing
- Data Lake
- Data Lakehouse
- Data Lifecycle Management
- Data Lineage
- Data Literacy
- Data Management
- Data Management for AI
- Data Management Policy
- Data Migration
- Data Migration Chain of Custody
- Data Migration Plan
- Data Migration Software
- Data Migration Warm Cutover
- Data Mobilization
- Data Orchestration
- Data Protection
- Data Retention
- Data Retrieval
- Data Services
- Data Silos
- Data Sprawl
- Data Storage
- Data Storage Costs
- Data Storage Management Services (DSMS)
- Data Storage Optimization
- Data Storage Tags
- Data Tagging
- Data Tiering
- Data Transfer
- Data Virtualization
- Deduplication
- Deep Analytics
- Dell PowerScale
- Dell PowerScale SmartPools
- Department Showback
- Digital Business
- Digital Pathology Data Management
- Direct Data Access
- Director (Komprise Director)
- Disaster Recovery
- Dynamic Data Analytics
- Dynamic Links
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E
-
F
-
G
-
H
-
I
-
K
-
M
-
N
-
O
-
P
-
R
-
S
- S3
- S3 Data Migration
- S3 Intelligent Tiering
- Scale-Out Grid
- Scale-Out Storage
- Secondary Storage
- Sensitive Data Detection
- Shadow AI
- Shadow IT
- Sharding
- Shared-Nothing Architecture
- Showback
- Smart Data Workflows
- SmartPools
- SMB Data Migration
- SMB protocol (Server Message Block)
- Solid State Drives (SSDs)
- Storage Area Network (SAN)
- Storage Array
- Storage as a Service
- Storage as a Service (STaaS)
- Storage Assessment
- Storage Costs
- Storage Efficiency
- Storage Insights
- Storage Metrics
- Storage Pool
- Storage Reclamation
- Storage Refresh
- Storage Tiering
- Stubs
- Sustainable Data Management
- Symbolic Link
- System Metadata
-
U
- Unstructured Data
- Unstructured Data AI
- Unstructured Data Analytics
- Unstructured Data Classification
- Unstructured Data Governance
- Unstructured Data Management
- Unstructured Data Migration
- Unstructured Data Preparation
- Unstructured Data Storage
- Unstructured Data Tiering
- Unstructured Data Workflows
- Unstructured Metadata
Network File System (NFS)
What is NFS?
A network file system (NFS) is a mechanism that enables storage and retrieval of data from multiple hard drives and directories across a shared network, enabling local users to access remote data as if it was on the user’s own computer.
What is the NFS protocol?
The NFS protocol is one of several distributed file system standards for network-attached storage (NAS). It was originally developed in the 1980s by Sun Microsystems, and is now managed by the Internet Engineering Task Force (IETF).
NFS is generally implemented in computing environments where centralized management of data and resources is critical. Network file system works on all IP-based networks. Depending on the version in use, TCP and UDP are used for data access and delivery.
The NFS protocol is independent of the computer, operating system, network architecture, and transport protocol, which means systems using the NFS service may be manufactured by different vendors, use different operating systems, and be connected to networks with different architectures. These differences are transparent to the NFS application, and the user.
Related Terms
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- Read the latest State of Unstructured Data Management Report
