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Instant Consumer Technology Team
Instant Consumer Technology Team
Oct 28, 2025 · Artificial Intelligence

Can Data Virtualization Deliver Millisecond Real‑Time Features Across Stores?

This article shares a three‑year journey of building a data‑virtualization‑based, multi‑environment feature management framework for real‑time risk decision platforms, detailing challenges like heterogeneous storage, cold‑start, and operational stability, and presenting a unified architecture that decouples physical storage from business logic.

Big DataReal-time analyticsdata virtualization
0 likes · 16 min read
Can Data Virtualization Deliver Millisecond Real‑Time Features Across Stores?
DataFunTalk
DataFunTalk
Oct 9, 2024 · Artificial Intelligence

Interview on Data Fabric, Data Virtualization, and AI Integration with Denodo Leaders

In this interview, Denodo executives discuss the origins, challenges, and future of data fabric and data virtualization, explore how generative AI and retrieval‑augmented generation enhance data management, share customer success stories, and offer strategic insights for enterprises navigating digital transformation.

Data FabricDenodoEnterprise Data Management
0 likes · 19 min read
Interview on Data Fabric, Data Virtualization, and AI Integration with Denodo Leaders
DataFunTalk
DataFunTalk
Mar 1, 2024 · Big Data

Understanding Data Fabric and Data Virtualization: Concepts, Practices, and Real‑World Case Study

This article explains the fundamentals of Data Fabric and data virtualization, highlights the limitations of traditional centralized data warehouses, describes the three‑layer virtualization architecture, and presents a detailed securities‑industry case study that demonstrates cost, efficiency, and compliance benefits.

Big DataData FabricData Integration
0 likes · 17 min read
Understanding Data Fabric and Data Virtualization: Concepts, Practices, and Real‑World Case Study
DataFunSummit
DataFunSummit
Dec 29, 2023 · Big Data

Exploring Indicator Platform Construction: Architecture, Methods, and Future Directions by Shusheng Technology

This article presents a comprehensive exploration of Shusheng Technology's indicator platform, covering industry challenges, three solution modes (Agile BI, Data Warehouse, Headless BI), the SwiftMetrics architecture, product capabilities, a retail case study, and future development plans for real‑time metrics and AI‑driven services.

BISwiftMetricsdata metrics
0 likes · 15 min read
Exploring Indicator Platform Construction: Architecture, Methods, and Future Directions by Shusheng Technology
Architects Research Society
Architects Research Society
Aug 2, 2023 · Fundamentals

Data Fabric Architecture: Three Patterns, Core Technical Components, and Inherent Limitations

The article explains data fabric architecture as a promising approach for enabling data exchange across distributed systems, outlines its three design patterns, describes key technical components such as data virtualization, data catalog, and knowledge graphs, and discusses the trade‑offs, costs, and limitations that organizations must consider.

Data CatalogData FabricData Integration
0 likes · 17 min read
Data Fabric Architecture: Three Patterns, Core Technical Components, and Inherent Limitations
Big Data Technology & Architecture
Big Data Technology & Architecture
Sep 12, 2020 · Big Data

Designing a Real‑time Data Platform for Modern Data Warehouses

This article explores the evolution from traditional to modern data warehouses, outlines the key capabilities of real‑time data platforms such as data real‑time, virtualization, democratization and collaboration, and presents a comprehensive architecture design with unified collection, streaming, compute and visualization layers, while discussing functional, quality, stability, cost, agility and management considerations.

architecturedata virtualizationreal-time data
0 likes · 18 min read
Designing a Real‑time Data Platform for Modern Data Warehouses
Big Data Technology & Architecture
Big Data Technology & Architecture
May 18, 2020 · Big Data

Real‑time Data Platform (RTDP): Concepts, Architecture and Design Considerations

This article examines the design of a real‑time data platform, discussing its background concepts, modern data‑warehouse perspective, architectural layers, unified data‑collection, streaming, compute and visualization platforms, and the functional, quality, stability, cost and agility considerations required for building an end‑to‑end real‑time pipeline.

Data DemocratizationData Platformarchitecture
0 likes · 17 min read
Real‑time Data Platform (RTDP): Concepts, Architecture and Design Considerations