Data Durability
Ability of a storage system to preserve data integrity despite failures.
Data Lake
A data lake is a centralized repository designed to store vast amounts of structured and unstructured data at any scale, allowing organizations to retain data in its raw form. Unlike traditional databases, data lakes can handle diverse data types—such as text, images, videos, and IoT sensor data—making them ideal for big data, machine learning, and […]
Data Mining
Data mining is the process of analyzing large datasets to uncover hidden patterns, trends, and relationships that can drive strategic decision-making and predictive analytics. By using statistical methods, machine learning algorithms, and artificial intelligence, data mining transforms raw data into valuable insights, aiding fields such as marketing, finance, and healthcare. This process requires substantial computational […]
Data Pipelines
Data pipelines are structured workflows that facilitate the movement and transformation of data from initial collection through storage, processing, and final analysis. These pipelines integrate various stages, such as data ingestion, cleansing, transformation, and loading, to ensure data is reliably available for analytics and AI applications. In high-performance computing (HPC) and AI environments, data pipelines […]
Deal Registration
VDURA program feature that protects partner margins (up to 20 points) when registering opportunities.
Deep Learning (DL)
Deep Learning (DL) is an advanced subset of machine learning that leverages neural networks with multiple layers—hence the term “deep”—to analyze and interpret complex data patterns. These deep neural networks are modeled after the human brain’s structure, enabling them to process vast amounts of unstructured data, such as images, audio, and text, with remarkable accuracy. […]
Director Nodes
Specialized VDURA management nodes that handle metadata, maintain the global namespace, and direct clients to the correct storage nodes (vPods) for parallel read/write access. Separating control from data flow enables scale-out performance and resiliency.
Disaster Recovery (DR)
Disaster recovery (DR) is a strategic approach to quickly restore access to essential systems, applications, and data following a disruption, such as a hardware failure, cyberattack, or natural disaster. A well-planned DR strategy minimizes downtime, data loss, and financial impact by ensuring continuity of operations through failover systems, backups, and recovery procedures. VDURA provides comprehensive […]
Distributed Metadata Storage
Storing metadata across multiple nodes for performance and reliability.
EC Parity (Erasure Coding Parity)
Redundant data chunks created during erasure coding to rebuild data after failures. Provides durability without the cost of full mirroring.