Palantir Foundry Training

Live Online & Classroom Enterprise Training

Palantir Foundry is a powerful data integration and analytics platform that enables organizations to unify, analyze, and operationalize data at scale. This course provides hands-on experience in data pipelines, ontology modeling, and building operational applications using Foundry.

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What is Palantir Foundry Training about?

This course offers a comprehensive introduction to Palantir Foundry, focusing on how to integrate disparate data sources, build scalable data pipelines, and create data-driven applications. Participants will learn how to work with Foundry’s core components such as Code Repositories, Ontology, Pipeline Builder, and Workshop. The training emphasizes real-world use cases, enabling learners to transform raw data into actionable insights and operational workflows.

What are the objectives of Palantir Foundry Training ?

Understand the architecture and core components of Palantir Foundry
Learn to build and manage data pipelines
Perform data integration and transformation at scale
Develop and use Ontology for business logic modeling
Create operational applications and dashboards

Who is Palantir Foundry Training for?

Data Analysts and Business Analysts
Data Engineers and ETL Developers
Data Scientists and AI/ML Engineers
BI Professionals and Reporting Analysts
IT Professionals working with data platforms

What are the prerequisites for Palantir Foundry Training?

Prerequisites:

Basic understanding of databases and SQL
Familiarity with data analysis concepts
Knowledge of Python or similar programming language
Understanding of ETL processes
Basic knowledge of cloud or data platforms

Learning Path:

Introduction to Foundry Platform
Data Integration and Pipeline Development
Data Transformation and Code Repositories
Ontology Modeling and Business Logic
Application Development and Deployment

Related Courses:

Big Data and Hadoop Fundamentals
Data Engineering with Python
SQL for Data Analysis
Cloud Data Platforms (AWS/Azure/GCP)

Available Training Modes

Live Online Training

2 Days

Course Outline Expand All

Expand All

Module 1: Introduction to Palantir Platform

Overview of Palantir ecosystem (Foundry, Gotham, Apollo)

Role of Palantir Foundry in enterprise data platforms

Data-driven decision-making concepts

Foundry architecture and platform overview

Module 2: Data Integration in Foundry

Connecting and ingesting data from multiple sources

Working with datasets in Foundry

Data lineage fundamentals

Data governance basics

Managing transformations and workflows

Module 3: Building Data Pipelines

Introduction to Pipeline Builder

Creating and managing pipelines

Data transformation techniques

Pipeline monitoring and optimization

Module 4: Ontology & Data Modeling

Understanding Foundry Ontology

Creating objects, properties, and relationships

Managing business logic using ontology

Designing semantic data models

Module 5: Code Repositories & Transformations

Working with Code Repositories

Writing transformations using SQL/Python

Version control and collaboration

Testing and deployment of transformations

Module 6: Data Analysis & Visualization

Exploring datasets and analytical tools

Creating dashboards and visualizations

Data exploration techniques

Generating business insights

Module 7: Application Development in Foundry

Introduction to Workshop applications

Building operational applications

Creating interactive dashboards and workflows

Integrating analytics into business processes

Module 8: Collaboration, Security & Governance

Data access control and permissions

User roles and security policies

Data governance best practices

Collaboration across teams

Module 9: AI & Advanced Features

Introduction to Palantir AIP (AI Platform)

Machine learning integration

AI-driven decision making

Automation and advanced analytics

Who is the instructor for this training?

The trainer for this Palantir Foundry Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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