2 个仓库
Awesome GitHub RepositoriesLegacy Data Transformation
Processing and mapping of data from archived or deprecated systems into standardized formats.
Distinct from Data Processing: Distinct from general Data Processing: specifically addresses the transformation and identifier mapping of legacy/archived systems.
Explore 2 awesome GitHub repositories matching data & databases · Legacy Data Transformation. Refine with filters or upvote what's useful.
Awesome Legacy Data Transformation GitHub Repositories
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- ardanlabs/service
ardanlabs/service
4,030在 GitHub 上查看该项目为使用 Go 语言构建生产服务器、高性能后端、Kubernetes 微服务和 AI 流水线提供了一套结构化模板与框架。它作为基础架构，通过集成的路由和中间件，支持构建高吞吐量基础设施及可扩展的生产服务器。 该框架包含一套用于开发检索增强生成（RAG）系统的专用基础设施，强调本地模型推理与数据主权安全。此外，它还提供了一个用于容器化部署的微服务模板，专注于资源配额与服务生命周期管理。 该项目涵盖了广泛的功能领域，包括用于监控系统健康状况的可观测性埋点、基于接口的依赖注入，以及基于迁移的关联数据模式管理。它还集成了基于通道（channel）的并发机制，用于管理异步任务，并通过 CPU 和内存分析优化资源使用。
Creates secure connectors for legacy databases and message buses to feed operational data into AI systems.
Go - mit-lcp/mimic-code
MIT-LCP/mimic-code
3,135在 GitHub 上查看mimic-code is a clinical data analysis framework and toolset for processing deidentified electronic health records and intensive care unit data. It provides a healthcare SQL query library and a processing tool to transform raw health records into formats suitable for longitudinal analysis and machine learning. The project features a medical research notebook environment that integrates with cloud-hosted datasets, allowing for remote querying and analysis. It includes a DICOM imaging pipeline to retrieve chest radiographs and link medical imaging with structured clinical metadata. The framewo
MIMIC-IV transforms patient data from archived systems by mapping identifiers to a common format.
Jupyter Notebookcritical-careicumimic-iii
