Enterprise Technology Terminology: B

149 results · page 1 of 8

• Backend-as-a-Service

  Backend-as-a-Service (BaaS) is a cloud service model that provides managed backend capabilities—such as data storage, authentication, APIs, and notifications—through standardized interfaces, allowing enterprises to support applications while centralizing security, governance, and operations at the platform level.

• Back-End Manufacturing

  Back-end manufacturing is the set of semiconductor processes that convert fabricated wafers into packaged, tested chips ready for shipment, which matters for cost, yield, quality, and supply continuity in semiconductor-dependent enterprise hardware and electronics supply chains.

• Back-End-of-Line

  Back-end-of-line is the phase of semiconductor wafer fabrication that forms the metal and dielectric interconnect layers linking devices on an integrated circuit, which constrains performance, power, and reliability for enterprise processors, accelerators, memory, and other data center and infrastructure chips.

• Backhaul

  Backhaul is the portion of a communications network that carries aggregated traffic from access nodes, such as radio sites or access points, to core or central networks, and it matters because it constrains capacity, performance, reliability, and cost of enterprise and service provider connectivity.

• Backhaul Link

  Backhaul link is a communications connection that carries aggregated traffic from access or edge networks to core networks, data centers, or central offices, which matters for capacity planning, service quality, and cost management in carrier, cloud, and enterprise architectures.

• Backplane

  Backplane is a physical or logical interconnect assembly that links modular cards, blades, or modules within servers, networking, storage, and telecom systems, enabling shared data, control, and power paths that support modular design, maintainability, and predictable system integration in enterprise environments.

• Back Propagation

  Backpropagation is an algorithm for computing loss gradients in neural networks, enabling gradient-based training of deep learning models in enterprise environments. It underpins model development workflows, influences hardware and framework choices, and supports scalable training across CPUs, GPUs, and specialized accelerators.

• Backup

  Backup is the process and supporting technologies that create and retain secondary copies of enterprise data or systems so organizations can restore information after loss, corruption, cyber incidents, or operational failures, in alignment with defined recovery and compliance requirements.

• Backup and Disaster Recovery

  Backup and disaster recovery is a coordinated set of processes and technologies that create, store and restore data and systems so enterprises can meet defined recovery objectives, support business continuity, and comply with regulatory and governance requirements for availability and retention.

• Backup and Recovery Plan

  Backup and recovery plan is a documented set of policies, procedures, and technical controls that governs how an enterprise backs up and restores data and systems to meet defined recovery objectives, support business continuity, and satisfy regulatory and governance requirements.

• Backup Encryption

  Backup encryption is the use of cryptographic controls to protect backup data at rest and in transit so only authorized entities can access it, which supports regulatory compliance, risk reduction for stored data, and consistent enterprise data protection policies.

• Backup Schedule

  Backup schedule is a defined plan that sets when and how often enterprise data and systems are backed up, helping align backup operations with recovery objectives, regulatory requirements, and documented business continuity and data protection policies.

• Bandwidth

  Bandwidth is the maximum data transfer capacity of a communication channel or network link, usually measured in bits per second, and matters in enterprise environments because it constrains application performance, informs network design, and underpins capacity planning and service-level commitments.

• Bandwidth Aggregation Layer

  Bandwidth aggregation layer is a network architecture layer that combines multiple physical or logical links into a single aggregated capacity domain, enabling higher throughput, resilience, and centralized policy enforcement for access, campus, WAN, and data center connectivity in enterprise environments.

• Bandwidth Allocation

  Bandwidth allocation is the process and policy framework that distributes available network capacity across applications, services, users, or devices to control congestion, maintain predictable performance, and support quality-of-service and service-level objectives in enterprise and service provider environments.

• Bandwidth Management

  Bandwidth management is the set of methods and controls used to monitor, allocate, and regulate network bandwidth across traffic classes, users, and applications in order to meet defined performance objectives, enforce usage policies, and support predictable network operations in enterprises.

• Bandwidth on Demand

  Bandwidth on demand is a dynamic network service model that allocates adjustable bandwidth levels over time, allowing enterprises to match capacity to changing application and workload requirements while coordinating cost, performance, and provisioning through software control planes, APIs, and policy-based automation.

• Bandwidth Optimization Engine

  Bandwidth optimization engine is a network component that analyzes, prioritizes, and alters traffic using methods such as compression, caching, and traffic shaping to improve effective throughput and efficiency over constrained links in enterprise, service provider, and cloud environments.

• Bandwidth Optimization Layer

  Bandwidth optimization layer is a logical or physical network layer that applies compression, deduplication, traffic conditioning, and protocol optimization to reduce bandwidth usage and support predictable application performance across constrained or costly enterprise network and cloud connectivity paths.

• Bare Metal

  Bare metal is a physical server environment where the operating system runs directly on dedicated hardware without a hypervisor, used in enterprises for predictable performance, hardware isolation, and control over configuration, especially for compute-intensive or compliance-sensitive workloads.