awesome-repositories.com
Blog
awesome-repositories.com

Descoperă cele mai bune repository-uri open source cu căutare AI.

ExploreazăCăutări recomandateAlternative open-sourceSoftware self-hostedBlogHartă site
ProiectDespreCum realizăm clasamentulPresăServer MCP
LegalConfidențialitateTermeni
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

3 repository-uri

Awesome GitHub RepositoriesPolyglot Data Modeling

Techniques for combining multiple database models, such as relational and document stores, within a single architecture.

Distinct from Relational Data Modeling: Distinct from Relational Data Modeling by covering the integration of both SQL and NoSQL paradigms.

Explore 3 awesome GitHub repositories matching data & databases · Polyglot Data Modeling. Refine with filters or upvote what's useful.

Awesome Polyglot Data Modeling GitHub Repositories

Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
  • 0voice/interview_internal_referenceAvatar 0voice

    0voice/interview_internal_reference

    37,235Vezi pe GitHub↗

    This project is a comprehensive technical interview question bank and reference library designed for software engineering roles at major technology companies. It serves as a study guide and knowledge base covering the core principles of high-performance systems programming and computer science theory. The collection focuses on deep technical domains, including C++ language mastery, distributed systems design, and database engineering. It provides detailed material on consensus protocols, cluster coordination, and the architectural differences between SQL and NoSQL implementations. The resour

    Provides comparative analysis and modeling strategies for both relational and NoSQL database implementations.

    Pythoncpuhigh-performanceinterview
    Vezi pe GitHub↗37,235
  • thingsboard/thingsboardAvatar thingsboard

    thingsboard/thingsboard

    21,907Vezi pe GitHub↗

    ThingsBoard is an IoT device management platform designed for provisioning, monitoring, and managing large fleets of hardware devices and assets across multiple customers. It functions as a microservices infrastructure that allows the deployment of data collection and management services as independent containerized units for scaling. The platform includes a rule-based stream processor that transforms incoming device data and triggers alarms using customizable rule chains. It also provides a data visualization suite consisting of dashboards and widgets to display real-time telemetry and syste

    Employs a polyglot data modeling strategy combining relational databases for metadata and time-series databases for telemetry.

    Javabig-datacloudcoap-server
    Vezi pe GitHub↗21,907
  • threedotslabs/wild-workouts-go-ddd-exampleAvatar ThreeDotsLabs

    ThreeDotsLabs/wild-workouts-go-ddd-example

    6,348Vezi pe GitHub↗

    This project is a reference implementation of Domain-Driven Design, Clean Architecture, and Command Query Responsibility Segregation (CQRS) patterns using the Go programming language. It serves as a sample application to demonstrate how to decouple core domain rules from infrastructure and delivery mechanisms. The system is built as a gRPC microservices architecture, utilizing type-safe communication and service contracts. It implements an event-driven architecture to manage eventual consistency and asynchronous processing, specifically employing the Outbox pattern to ensure reliable messagin

    Implements a polyglot persistence strategy by duplicating domain data into specialized read-optimized databases via events.

    Goclean-architecturecqrsddd
    Vezi pe GitHub↗6,348
  1. Home
  2. Data & Databases
  3. Polyglot Data Modeling