Coalesce Fundamentals

These guides introduces fundamental concepts you need to understand in order to use Coalesce effectively.

📄️ Directed Acyclic Graph (DAG)

A Directed Acyclic Graph, or DAG, is a concept from mathematics and computer science that describes a specific type of graph.

📄️ Nodes and Node Types

In Coalesce, a Node, is the visual representation of a database object (table, views) that serves as a building block of your larger data pipeline is called a Node, and each Node is classified into a Node Type.

📄️ Graphs and Subgraphs

Your Node Graph or DAG (directed acyclic graph) is all the Nodes in your data pipeline. The Node graph will show each Node and their relationship to each other.

📄️ Projects

A project is where you'll organize your work.

📄️ Workspaces

A Workspace is a sandbox environment where you can complete the development of your data, refine, and perform preliminary validation before merging them into the codebase.

📄️ Storage Locations and Storage Mappings

Storage Locations and Storage Mappings are closely related but serve different purposes in managing and structuring data within Coalesce.

📄️ Environments

Learn how to configure Environments in Coalesce for deploying your data pipelines. This guide covers Environment setup, configuration options, and best practices for successful deployments.

📄️ Understanding Deploy, Refresh, and Jobs in Coalesce

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📄️ When To Use Copy Objects, Duplicate, or Create New Project

There are multiple options for copying data, duplicating workspaces, and creating a new project.