IRLFirst physical meetup — Bengaluru, Sat May 23, 4PM · RSVP on Luma
HomeToolsMCPHow It WorksStoriesPhilosophyCommunityArchitectureStar on GitHub
All Tools
A
DataFreeOpen Source

APACHE NIFI

Data flow automation and pipeline orchestration

Apache-2.0

ABOUT

Engineering teams building ML pipelines must ingest, transform, and route data from dozens of disparate sources (databases, APIs, file shares, message queues, IoT devices) into ML training and inference systems. Manually wiring these integrations is brittle, lacks observability, and makes it impossible to trace data lineage when a model produces unexpected results.

INSTALL
# Download and extract curl -sSOL https://dlcdn.apache.org/nifi/2.0.0/nifi-2.0.0-bin.tar.gz tar -xzf nifi-2.0.0-bin.tar.gz cd nifi-2.0.0 && ./bin/nifi.sh start

INTEGRATION GUIDE

1. Ingest and route streaming data from databases, APIs, and IoT devices into ML training pipelines with automated back-pressure handling 2. Track end-to-end data provenance for every record with built-in data lineage and provenance reporting 3. Visually design and monitor complex ETL workflows through a drag-and-drop web interface with 300+ built-in processors

TAGS

data-pipelinedata-integrationetlworkflow-automationdata-engineering