7 个仓库
Systems designated as the primary, definitive reference for data state.
Distinct from Data Sources: Distinct from generic data sources: focuses on the architectural role of a system as the source of truth.
Explore 7 awesome GitHub repositories matching data & databases · Authoritative. Refine with filters or upvote what's useful.
This project serves as a comprehensive technical reference for the architecture and design of data-intensive applications. It provides a structured analysis of the fundamental principles required to build reliable, scalable, and maintainable software systems, covering the core trade-offs inherent in modern data infrastructure. The repository explores the mechanics of distributed data management, including strategies for replication, partitioning, and achieving consensus across multiple nodes. It details the design of storage engines, indexing techniques, and transaction management models, whi
Designates primary systems as the authoritative source of truth for all other system components.
This project is a command-line synchronization client for OneDrive and SharePoint libraries on Linux. It functions as a synchronization engine that aligns local filesystems with cloud storage through bidirectional, unidirectional, or download-only workflows. The client supports headless authentication for servers without web browsers and can be deployed as a background service or within a containerized environment. It enables the management of multiple distinct cloud accounts on a single system and integrates with shared SharePoint sites and document libraries. The synchronization engine inc
Implements a mirroring mode where the local filesystem is the authoritative source for remote cloud storage.
DataHub is a metadata management platform designed to unify technical, operational, and business context across diverse data ecosystems. By utilizing a graph-based metadata model and an event-driven ingestion architecture, it creates a centralized source of truth that maps complex data relationships, lineage, and ownership. This foundational framework enables organizations to maintain a synchronized view of their data landscape, supporting both human-led discovery and automated data operations. The platform distinguishes itself through its focus on grounding artificial intelligence and autono
Creates native documentation within the catalog to resolve conflicting metrics or processes and provide a single source of truth.
Lsyncd 是一个事件驱动的目录同步守护进程,它监控本地文件系统变更以将数据镜像到远程服务器。它作为一个可自定义的同步编排器,监视文件创建、修改和删除,以触发自动化同步任务或用户定义的脚本。 该工具专门自动化 rsync 工作流,利用安全 Shell 连接在远程目标上维护本地数据的一致副本。它通过执行远程文件管理(如重命名和删除)来优化数据传输,从而避免不必要的重新传输。 该系统的功能包括跨不同操作系统(包括 macOS)的实时文件系统监控。它通过评估进程退出代码来管理同步生命周期,以确定任务是应该重试还是终止。用户可以定义自定义同步逻辑,并将特定的文件系统事件映射到外部脚本或 Shell 命令。
Mirrors local files to a remote target by treating the local filesystem as the authoritative source.
gradle-play-publisher 是一个 Gradle 插件,旨在自动化 Android 应用程序向 Google Play 商店的发布和部署。它处理应用包 (App Bundles) 和二进制文件的上传,管理版本在不同发布轨道之间的转换。 该项目提供了用于同步商店元数据的专门工作流,允许管理和更新本地化的描述和图形资产。它还包括用于配置应用内产品详情和订阅模型的工具,以管理应用程序的货币化。 其他功能涵盖通过内部共享渠道进行的应用内 beta 分发,以及在上传过程中解决版本代码冲突。该工具还支持发布推广和调整活跃版本的发布百分比。
Maintains a local mirror of store listings and product data for version-controlled updates.
PowerDNS is DNS server software used for serving authoritative and recursive DNS records. It functions as both an authoritative DNS server, providing definitive records for specific domains from trusted databases, and a recursive DNS resolver that finds answers for any domain by iteratively querying external servers. The project distinguishes itself through a backend-abstraction layer that decouples server logic from data storage, allowing records to be served from SQL databases, zone files, and external APIs. It includes a geo-aware DNS router to direct users to the nearest server based on t
Imports measured performance data from running servers to select the fastest authoritative sources for requests.
Cartography 是一个基于图的架构可视化和安全分析框架。它从各种云、身份和软件即服务(SaaS)提供商处提取数据,在中央图数据库中建模资源、用户和安全发现之间的复杂关系。通过映射这些相互依赖关系,该平台使组织能够获得对其环境的可见性,并通过图遍历查询识别潜在的安全风险。 该平台以其基于本体的规范化和跨平台实体关联而著称,将来自多个来源的异构数据映射到一个统一、一致的模型中。它采用模块化摄取管道和基于模式的过滤来维护此图,通过对陈旧节点的自动状态修剪确保架构数据保持准确。这种方法允许发现跨越不同云、设备和身份管理系统的复杂攻击路径和安全配置错误。 除了核心建模外,该系统还为资产清单、身份治理和软件供应链分析提供了广泛的功能。它支持广泛的集成,包括云原生计算和网络资源、端点管理遥测以及开发生命周期元数据。用户可以通过定义自定义安全规则、添加专门的数据分析作业或通过其模块化框架集成新的情报来源来扩展平台的功能。 该项目使用 Python 实现,并提供了用于配置摄取模块和定义自定义图查询的文档。
Provides mechanisms to restrict canonical entity creation to trusted modules, ensuring data consistency across the graph.