Accelerate Your Time to Value: Introducing Cognite Deployment Packs

Deployment Packs

Usage Areas

CDF Performance Testing

#test/verify

Optimize your projects with confidence using a pack designed for peak operational health:

• Evaluate & Enhance: Continuously improve performance across your entire data environment.
• Track Vital Metrics: Gain visibility into ingestion speeds, query efficiency, and API responsiveness.
• Maximize Efficiency: Ensure your CDF deployment remains smooth, reliable, and high-performing.

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CDF Entity Matching

#datafoundation

Connect your data effortlessly with a scalable, production-ready solution designed to eliminate manual effort:

• Seamless Integration: Link time series, 3D nodes, and other entities directly to assets and tags using Cognite Data Fusion Data Modeling objects.
• Enhanced Accuracy: Improve data alignment through automated, high-precision mapping.
• Time Savings: Reduce manual mapping workflows so your team can focus on generating actionable insights.

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Root Cause Analysis

#applications

Transform complex equipment issues into actionable insights by leveraging intelligent AI agents:

• Intelligent Analysis: Deploy three Atlas AI agents—Cause Map, RCA, and Time Series—to analyze failures and maintenance history.
• Knowledge-Driven Insights: Utilize your RMDM knowledge graph and time series data for deep, context-aware troubleshooting.
• Operational Excellence: Rapidly identify root causes to reduce downtime and boost long-term reliability.

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Reliability & Maintenance Data Model

#datafoundation

Standardize your data foundation with industry-compliant models built for consistency and scale:

• Industry Compliance: Align your maintenance and reliability data with ISO 14224 and NORSOK Z-008 standards.
• Ready-to-Use Framework: Access pre-configured containers and views for assets, equipment, maintenance orders, and failure analysis.
• Organizational Consistency: Enable reliable root cause analysis and condition-based maintenance across your entire enterprise.

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P&ID Annotation

#datafoundation

Eliminate manual effort and automate the connection between your diagrams and operational data:

• Automated Workflows: Leverage Cognite Data Fusion Data Modeling to link P&ID documents directly to assets and related files.
• Enhanced Traceability: Improve data accuracy and visibility across your operations with digitized connections.
• Process Efficiency: Accelerate project timelines and reduce human error by replacing tedious manual annotation.

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Contextualization Status

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Gain instant clarity on your data health with a centralized visualization of status and completeness:

• Comprehensive Health Checks: Monitor status across asset hierarchies, equipment, time series, and 3D models.
• Full-Spectrum Visibility: Track status across maintenance workflows and file annotations in a single view.
• Data Confidence: Ensure your operational data is complete and reliable for better decision-making.

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InField QuickStart 

#applications

Fast-track your InField implementation with a pre-configured setup designed for immediate impact:

• Accelerated Deployment: Rapidly establish the essential data model within your existing Cognite Data Fusion projects.
• Turnkey Configuration: Utilize ready-to-use structures for configuration storage, integrations, and visualizations.
• Immediate Value: Onboard teams with minimal manual effort so they can focus on delivering insights from day one.

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ISA Data Model

#datafoundation

Bring your manufacturing data to life with a structured, industry-standard domain model tailored for Cognite Data Fusion:

• Standardized Framework: Leverage an ISA-95/ISA-88 compliant model designed specifically for manufacturing environments.
• Comprehensive Toolset: Access a ready-to-use package including spaces, containers, views, SQL transformations, and orchestration workflows.
• Seamless Data Loading: Accelerate your setup with optional RAW seed data and automated workflows for a truly turnkey experience.

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Cause Map in Canvas with Atlas AI Agents

#applications

The Industrial Canvas is particularly useful for conducting RCA by providing a structured environment to gather data and identify the underlying causes of equipment failures. The Cause Map agent further enhances the user experience by guiding the retrieval of relevant data and suggesting a cause map aligned with ISO 14224. It is especially useful for personnel such as site reliability engineers and has proven to significantly reduce the time spent on RCA.
 

This how-to article shows how to implement an Atlas AI agent that can be adapted and extended to suit the particular needs of customers. 

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CDF Transformation Job Metrics Analysis Notebook

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The Transformation Job Metrics Analysis Notebook is a web-based interactive tool designed for exporting, visualizing, and analyzing Transformation Job Metrics from Cognite Data Fusion (CDF). Built with marimo.io, it provides a modern, Python-driven interface to monitor performance, analyze concurrency, and troubleshoot transformation jobs.

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Quickstart 

#datafoundation

The Quickstart Deployment Pack is a comprehensive solution designed to bootstrap a Cognite Data Fusion project with a robust, production-ready foundation. It provides a curated set of modules that handle everything from infrastructure setup and data modeling to data ingestion, contextualization, and quality reporting.

This guide explains how to install, configure, and use the Quickstart DP to accelerate your industrial digital twin development.

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Quickstart Enterprise Data Model

#datafoundation

This quick start guide provides a comprehensive introduction to implementing and working with the Quickstart Common Data Model (CDM) and contextualization workflows in industrial environments. It combines data modelling fundamentals with practical contextualization techniques to help you build robust industrial data management solutions.

This guide walks you through the concept of Quick Start Enterprise data model and the steps to download, configure, and deploy QuickStart using the Cognite Toolkit.

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Atlas AI Property Extractor

#datafoundation

The Atlas AI Property Extractor is a specialized ingestion tool designed to bridge the gap between unstructured documents and structured industrial data within Cognite Data Fusion (CDF). Leveraging Atlas AI agents, it automates the extraction of key technical information—such as equipment tags, metadata, and relationships—from complex documents, engineering reports, and technical manuals.

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CDF Project Health Dashboard

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The CDF Project Health Dashboard module provides a solution for measuring, monitoring, and visualizing the health of CDF resources (extraction pipelines, workflows, transformations, and functions) scoped by dataset. It consists of two main components:

1. Project Health Metrics Function: Computes health metrics for a given dataset and time range and saves them as a JSON file in CDF
2. Streamlit Dashboard: Loads the pre-computed metrics file and displays health gauges, status donuts, resource tables, and recent errors across tabs

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CDF Qualitizer

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The Qualitizer web application is a collection of tools that help you understand, troubleshoot, and improve the quality of your CDF deployment.

It helps you solve problems such as:

• “Why does user X see this search result, while user Y does not?”
• Identifying failing activities and processing bottlenecks so you can reduce spikes and improve system stability.

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