Getting Started with Datasets

Your comprehensive guide to understanding and working with datasets in Cotera.

Overview

Datasets are the foundation of your Cotera workflows. They store and organize your data, making it accessible for AI processing, analysis, and transformation. Whether you're working with customer data, product information, or any other structured data, understanding datasets is essential for success with Cotera.

Before You Begin

If you're new to Cotera or datasets, we recommend starting with these foundational resources:

Learn the Fundamentals

• What is Cotera? - Get introduced to the platform and its core purpose
• Datasets (Core Concept) - Understand the fundamental concepts of datasets in Cotera
• Columns (Core Concept) - Learn how data is structured within datasets

Hands-On Practice

• Create your first dataset - Step-by-step tutorial to build your first dataset
• Create your first LLM column - Add AI-powered processing to your data

What You'll Learn in This Section

• How to create datasets using different methods
• Basic dataset operations and management
• Best practices for organizing and structuring your data
• How to work with columns and data types
• Dataset security and access controls

Quick Start Path

1. Start with the basics: Read Datasets (Core Concept) to understand what datasets are
2. Get hands-on: Follow Create your first dataset tutorial
3. Explore advanced features: Try Create using EraQL for more complex scenarios
4. Learn about relationships: Understand Child datasets for hierarchical data

Advanced Dataset Guides

Once you're comfortable with the basics, explore these specialized guides:

• Create using EraQL (Advanced) - Build datasets with advanced query language
• Child datasets overview - Work with nested and related data structures
• Create a child dataset - Build hierarchical data relationships
• Rename a dataset - Manage dataset organization
• Delete a dataset - Safely remove datasets when no longer needed

Working with Columns

Datasets are made up of columns that structure your data. Learn more about working with columns:

• Columns (Core Concept) - Understand column fundamentals
• Getting started with columns - Learn column operations
• Create an LLM column - Add AI-powered data processing

Need Help?

If you get stuck or need more specific guidance, refer back to the foundational concepts linked above in the "Before You Begin" section.