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Data Pipeline Platform

NLT Data-in-Motion

Data Pipeline Platform

NLT Data-in-Motion is a cloud-native platform for building, running, and monitoring data pipelines at scale. Developed to handle dynamic disaster response scenarios, the framework streamlines integration, orchestration, and output of data and models through intuitive web-based workflow tools.

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Platform Capabilities

Pipeline Authoring & Orchestration

Design, test, schedule, deploy, and monitor execution of data pipelines and modeling workflows through intuitive web-based tooling.

Ingestion & Enrichment Automation

Automate ingestion, enrichment, translation, and output of consumable data services across federal, state, and commercial sources.

Intelligent Data Output & Search

Built-in indexing and search across pipeline output. Consumable downstream by analytics, GIS, and machine learning pipelines.

Format & Language Interoperability

Robust interoperability across data formats and programming languages — Python, R, SQL, Spark, and modern streaming primitives.

Serverless Elastic Throughput

High-throughput serverless architecture providing scalability and performance to support simulations and concurrent use under disaster-response loads.

Disaster Response Integration

Designed to handle dynamic disaster response scenarios. Streams real-time hazard data into NLT IMPACT and downstream emergency management workflows.

Use Cases

Federal

Disaster Response Pipelines

Real-time hazard data ingestion, transformation, and routing to NLT IMPACT and FEMA GeoPlatform during active incidents.

Federal

Large-Scale Federal Data Workflows

Concurrent simulation, statistical disclosure avoidance, and indicator computation for federal program reporting.

Geospatial

Geospatial Ingestion at Scale

Satellite imagery ingestion, change detection orchestration, and downstream delivery to GIS and AI/ML consumers.

Deploy NLT Data-in-Motion for Your Data Operations

NLT Data-in-Motion is available via GSA MAS 47QRAA20D001E. Contact us to discuss your pipeline orchestration needs.

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See NLT Data-in-Motion in Action

Request a demo or talk to the NLT team about deploying this platform in your environment — managed-service subscription or on-premises options available.