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Apache NiFi: Data Flow System
Apache NiFi is a powerful, reliable, and scalable system designed for automated data flow between systems. It supports robust and flexible data routing, transformation, and system mediation logic.
Java
Added on 2025年6月30日5,417
Stars2,821
ForksJava
LanguageProject Introduction
Summary
Apache NiFi is a dataflow system based on the concepts of flow-based programming. It handles data routing, transformation, and system mediation, offering a user-friendly interface and a robust architecture for complex data integration scenarios.
Problem Solved
Addresses the challenges of managing complex data flows, integrating disparate systems, and ensuring reliable data delivery, transformation, and processing at scale, providing a clear mechanism for dealing with data lineage and provenance.
Core Features
Web-based User Interface
A visual web-based user interface for designing, controlling, and monitoring data flows.
Flow-Based Programming
Provides fine-grained control over data flow, including priority, queuing, and back pressure.
Extensible Architecture
Highly extensible via the development of custom components (Processors, Controllers, Reporting Tasks, etc.).
Tech Stack
Java
Flow-Based Programming Concepts
Embedded Jetty Server
Maven
Apache ZooKeeper (for clustering)
使用场景
Apache NiFi is used across various industries and applications for handling diverse data flow needs:
ETL (Extract, Transform, Load) Pipelines
Details
Moving data from various sources (databases, files, APIs, message queues) to data lakes or warehouses, performing transformations and cleansing along the way.
User Value
Simplifies the creation and management of complex data ingestion and processing workflows.
Log Data Aggregation and Routing
Details
Collecting log data from distributed applications or servers, aggregating, filtering, and routing it to centralized logging systems or analysis platforms.
User Value
Provides a reliable mechanism for centralized log management and real-time monitoring.
Application & System Integration
Details
Connecting applications that use different protocols or data formats, mediating communication and translating data as needed.
User Value
Facilitates seamless communication between heterogeneous systems, reducing integration complexity.
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