Cognite Data Fusion Practitioner Level 200 Self-Paced Training (Test)
Transform Data into Asset Hierarchy in Cognite Process Industries Data Model
Learn how to transform tabular data using transformations into asset hierarchy in the Cognite Process Industries Data Model.
5 mins
Upload a File to Core Data Model and Link to an Asset
Learn how to upload a file to Core Data Model and link the file to an assets in Cognite Data Fusion.
5 mins
Cognite's MQTT Hosted Extractors
Learn how to extract data from MQTT brokers using Cognite's MQTT hosted Extractors.
3 min
Data Workflows - Data Flows
Learn how to have variable inputs to tasks and pass data between tasks in data workflows.
3 mins
Data Workflows - Simple Tasks
Learn how to configure and orchestrate simple task types using Data Workflows in Cognite Data Fusion.
4 mins
Data Workflows - Structural Tasks
Learn about three types of structural tasks to create flexible, scalable workflows in Cognite Data Fusion.
5 mins
Data Workflows - Task and Workflow Robustness
Learn about task-level error handling to ensure robust pipeline execution.
4 mins
Introduction to Jupyter Notebook in Cognite Data Fusion
Explore how Jupyter Notebook is integrated into Cognite Data Fusion.
2 mins
Access Control in Cognite Data Modeling
Learn how to manage access control in data modeling, focusing on space-based permissions, ACLs, and secure handling of instances, schemas, and edge relations.
20 mins
How to populate your data model (advanced)
Learn instance ingestion and management using the /apply and /delete endpoints. Learn about data accuracy, atomic application, autocreation, and optimistic concurrency control.
1 hr
Create Time Series in Core Data Model
Learn how to create time series in the Core Data Model with Cognite Python SDK.
8 mins
Transform data into the Core Data Model
Learn how to write data in to the Core Data Model with Transformations
8 mins
Debugging in Data Modeling
Learn the best practices on how to debug data ingestion issues.
Diagram Parsing for Data Modeling
Learn how to use Diagram parsing for data modeling in Cognite data fusion(CDF) and how it transforms static engineering diagrams into structured, connected, and contexualized data.
Collect your Microlearning bundle badge - Data Workflows
After completing the 7 Data Workflows Microlearning courses, you can collect a badge!
An Overview of Cognite Extractors
Gain an understanding of Cognite Data Fusion extractors, covering their architecture, types, security standards, and deployment strategies for effective industrial data integration
45 min
CDF Storage APIs: Best Practices
Learn how to structure and store industrial data in Cognite Data Fusion using recommended modeling patterns and the Storage APIs.
60 mins
Entity Matching with Python SDK
Learn about matching entities using Python SDK, different entity matching models, and more
30 min
Entity Matching: The Concept
Learn how to perform entity matching, and how the different entity matching models and feature types work.
45 min
Triggers in Data Workflows
Learn to automate data workflows using schedule and event-based triggers for enhanced efficiency and reliability.
5 mins
Working with Jupyter Notebooks in Cognite Data Fusion
Learn how to create, store, and share notebooks, access data, and run Python code.
5 mins
Query capabilities in Cognite Data Modeling
Explore the capabilities of querying graphs within CDF, including various query endpoints, constructing graph queries, advanced filters, and sync and subscriptions.
1.5 hrs
Mastering Extraction Pipelines in Cognite Data Fusion
Learn to build, secure, and monitor robust data integrations in Cognite Data Fusion to eliminate silent failures and ensure 24/7 data observability.
45 min
Data Modeling: Knowledge Graph Creation Assessment
Earn a Data Modeling: Knowledge Graph Creation Certificate!
How to bring data into a data modeling schema
Learn how to get the data into an existing schema and how to create nodes and egdes.
Data Modeling: Schema Design & Structure Assessment
Earn a Data Modeling: Schema Design & Structure Certificate!
Data Modeling: Explore the UI
After completing the hands-on, let's look at what we deployed in the Cognite Data Fusion UI.
Data Modeling: Use Case
Get familiar with the use case for the data modeling series
Managing Resources with Spaces
Learn about Spaces, how to use them, and how to transition from data set to spaces
8 mins
Introduction to API v1 using Postman
Set up an API collection in Postman and access the Open Industrial Data project.
30 min