5
maximum people
2d
duration
French
language
Goals
Palantir Foundry is a data management platform that allows organizations to centralize, analyze and visualize vast amounts of data to support strategic decision-making. It allows a significant gain in productivity for any user who has been trained and follows good practices.
At the end of this training, you will know:
- the different Palantir Foundry modules and their uses,
- Palantir Foundry best practices for developing Data solutions.
Prerequisites and target audience
Prerequisites: No prerequisites for specific knowledge of Palantir Foundry. One license available per participant is required.
Targeted audience : Members of the IT team who will use Palantir Foundry on a daily basis.
Educational means
The training alternates between theoretical contributions and getting to grips with the tool.
Training profiles
- Palantir Foundry Certified Data Scientist
Rate
Thank you for contacting us.
1
Number of trainees
5/5
Satisfaction rate
0%
Dropout rate
Training program
- Architecture and key components
- Data Health: Real-time monitoring of data health, identification of anomalies.
- Data Expectations: Setting data quality expectations, creating custom rules, and integrating into data workflows.
- Contour: Creation of interactive visualizations and dynamic dashboards.
- Quiver: Creating interactive visualizations and dynamic dashboards for temporal data.
- Slate: Developing custom reports and integrating complex visualizations.
- Ontology Manager: Construction and management of ontologies to structure business data.
- Object Explorer: Visual exploration of relationships between data and identification of hidden insights.
- Sparks Profile: Data analysis and profiling for deep insights.
- Fusion: Creation of manually editable datasets
- HyperAuto: Automation of analytical workflows and reduction of development time.
- Concept of Branching in Foundry
- Best practices for versioning and team collaboration
- Data Connection: Techniques for integrating data from various sources, including traditional databases, ERP systems, and cloud platforms.
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