This article introduces the concept of Data Fabric, explains how Dipu Technology built the FastData real‑time intelligent lakehouse platform on top of it, describes its architecture, core advantages, practical use cases in energy and retail, and outlines the platform’s future roadmap.
This article examines the design and implementation of a tenant‑level real‑time Customer Data Platform, detailing CDP fundamentals, business and technical challenges, key architectural components, technology selections such as graph databases, stream processing, storage engines, and the operational practices that enable high‑throughput, low‑latency data integration and analytics.
This article, presented by senior data platform engineer Mao Xiangyi of TAL Education, details the design and implementation of the company’s real‑time T‑Streaming platform, covering its three‑layer data architecture, batch‑stream integration techniques, ODS layer real‑timeization, Flink SQL development workflow, hybrid‑cloud deployment, and a case study of K‑12 renewal reporting.
This article details the technical architecture of a Real‑time Data Platform (RTDP), covering component selection such as DBus, Kafka, Wormhole, Moonbox and Davinci, and discusses design considerations, data management, security, operational practices, and various deployment modes for big‑data applications.
This article first outlines Netflix’s Keystone real‑time data platform, describing its background, functionalities, and the distributed‑system challenges and solutions such as ordering semantics and processing contracts, then shifts to announce the second‑edition Apache Flink Geek Challenge, detailing its theme, schedule, prizes, and registration instructions.
This article explains the architecture of a Real‑Time Data Platform (RTDP), details the technical selection of core components such as DBus, Kafka, Wormhole, Moonbox and Davinci, and discusses data management, security, operations, and four deployment modes—synchronization, flow, rotation and intelligent—illustrating how each fits different business scenarios.
