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Data Engineer Path

Data Engineer Curriculum

Master the fundamental skills required for industrial data operations, integration, and contextualization in Cognite Data Fusion.

Level 1

Foundation

Essential knowledge required for all subsequent courses.

Learning Path Foundation

Cognite Data Fusion Fundamentals with Data Modeling

Master the core concepts of data ingestion, contextualization, and the foundational architecture. This comprehensive path sets the stage for advanced engineering tasks.

Start Path
6 Hours
Level 2

Core Data Engineer Skills

Master the fundamental skills required for industrial data operations.

Core Integration

Data Integration

Master the ingestion of data from various industrial sources using standard Extractors and API integrations.

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Core Transformation

Data Transformation

Utilize CDF Transformations to convert data from the RAW layer into the Core Data Model.

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Core Modeling

Data Modeling

Structure and manage data using containers, views, and semantic layer best practices.

Coming Soon
Core Context

Contextualization

Understand the concept of asset hierarchy and perform basic linking of CogniteTimeSeries and files to CogniteAssets.

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Core SDKs

Tooling

Demonstrate basic proficiency with the Cognite Python SDK and Toolkit for simple read/write operations and authentication.

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Core Governance

Governance

Properly define and apply Spaces to manage data ownership and access control.

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Level 3

Specialization & Advanced Topics

Deep dive into specific capabilities once you have the core skills.

Advanced Integration

Advanced Integration

Master complex pipelines, data reconciliation, and scalable stream processing techniques.

Coming Soon
Advanced Pipeline

Contextualization Pipeline

Building and maintaining automated pipelines for linking assets, timeseries, and documents.

Coming Soon
Advanced Data Model

Advanced Data Modeling

Deep dive into advanced schema design, versioning, and working with complex query patterns.

Coming Soon
Advanced Security

Security and Best Practices

Implementing fine-grained access control, security best practices, and data governance policies.

Coming Soon
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