added new content for each lesson

Author: irina-loghin-neo4j

asciidoc/courses/importing-relational-to-graph/ad.adoc

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+:page-ad-title: Learn how to import relational data into Neo4j with GraphAcademy
+:page-ad-description: This 3-hours course explores the options for importing data into Neo4j.
+:page-ad-link: https://graphacademy.neo4j.com/courses/importing-fundamentals/?ref=docs-ad-importing-fundamentals
+:page-ad-underline-role: button
+:page-ad-underline: Enroll for free

asciidoc/courses/importing-relational-to-graph/banner.png

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+= Importing Relational Data into Neo4j
+:categories: beginners:4, start:4, data-analysis:4, reporting:4, software-development:4, foundation:4
+:status: active
+:next: importing-cypher
+:duration: 3 hours
+:caption: Learn how to import relational SQL data into Neo4j
+:usecase: blank-sandbox
+:key-points: Migrating from relational to graph databases, Transforming SQL data models, Using Neo4j Data Importer, Working with PostgreSQL and Northwind
+
+
+== Course Description
+
+Welcome to Importing Relational Data into Neo4j!
+
+In this course, you will learn how to migrate data from relational databases into Neo4j. You will work with the classic Northwind PostgreSQL database and transform it into a graph data model optimized for traversal queries.
+
+You will learn to:
+
+* Understand the fundamental differences between relational and graph data models.
+* Analyze relational database schemas to identify entities, relationships, and properties.
+* Use PostgreSQL and Postico or pgAdmin to explore and query relational data.
+* Transform relational tables into graph nodes and relationships.
+* Use the Neo4j Data Importer to import relational data into a Neo4j Aura instance.
+* Set unique IDs, constraints, and indexes to ensure data quality and query performance.
+
+You will work hands-on with the Northwind database, a sample relational database representing a fictional company's sales data, and migrate it into a graph structure that you can query using Cypher.
+
+
+=== Prerequisites
+
+Before taking this course, you should have an understanding of:
+
+* Graph and Neo4j fundamental concepts
+* Basic Cypher queries
+* Relational database concepts and SQL
+* Graph data modeling principles
+
+Completing the following courses in GraphAcademy is recommended:
+
+* link:https://graphacademy.neo4j.com/courses/neo4j-fundamentals/[Neo4j Fundamentals^]
+* link:https://graphacademy.neo4j.com/courses/cypher-fundamentals/[Cypher Fundamentals^]
+* link:https://graphacademy.neo4j.com/courses/modeling-fundamentals/[Graph Data Modeling Fundamentals^]
+
+You will also need:
+
+* A Neo4j database - choose one of:
+** **AuraDB Professional** (recommended) - No credit card required, includes Graph Data Science support and Data Importer
+** **GraphAcademy Sandbox** (quick start) - Free temporary sandbox provided with this course for learning
+** **Self-managed Neo4j** - Neo4j Desktop or Docker installation
+* PostgreSQL installed (link:https://postgresapp.com/[Postgres.app^] for macOS or link:https://www.postgresql.org/download/[postgresql.org^])
+* Postico (macOS) or pgAdmin (Windows, Linux, macOS) - optional but recommended
+* The Northwind database (instructions provided in the course)
+
+
+=== Duration
+
+{duration}
+
+
+=== What you will learn
+
+* The fundamental differences between relational and graph data models.
+* How to analyze and understand relational database schemas.
+* Techniques for mapping relational tables to graph nodes and relationships.
+* How to extract data from PostgreSQL databases.
+* How to use the Neo4j Data Importer to migrate relational data into a Neo4j Aura instance.
+* Best practices for validating and querying your imported graph data.
+
+
+[.includes]
+== This course includes
+
+* [lessons]#16 lessons#
+* [challenges]#1 hands-on challenge#
+* [quizes]#20 quizzes to support your learning#

asciidoc/courses/importing-relational-to-graph/course.adoc

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+%%{init: {'theme': 'base', 'themeVariables': { 'primaryColor': '#4C8EDA', 'primaryTextColor': '#fff', 'primaryBorderColor': '#2563EB', 'lineColor': '#64748B', 'secondaryColor': '#F59E0B', 'tertiaryColor': '#10B981'}}}%%
+graph TB
+    subgraph "Northwind Graph Model - Node Labels"
+        C((Customer))
+        O((Order))
+        P((Product))
+        Cat((Category))
+        S((Supplier))
+        E((Employee))
+        Sh((Shipper))
+    end
+
+    subgraph "Source Tables"
+        T1[customers table]
+        T2[orders table]
+        T3[products table]
+        T4[categories table]
+        T5[suppliers table]
+        T6[employees table]
+        T7[shippers table]
+    end
+
+    T1 -->|becomes| C
+    T2 -->|becomes| O
+    T3 -->|becomes| P
+    T4 -->|becomes| Cat
+    T5 -->|becomes| S
+    T6 -->|becomes| E
+    T7 -->|becomes| Sh
+
+    style C fill:#4C8EDA,stroke:#2563EB,color:#fff
+    style O fill:#F59E0B,stroke:#D97706,color:#fff
+    style P fill:#10B981,stroke:#059669,color:#fff
+    style Cat fill:#8B5CF6,stroke:#7C3AED,color:#fff
+    style S fill:#EC4899,stroke:#DB2777,color:#fff
+    style E fill:#06B6D4,stroke:#0891B2,color:#fff
+    style Sh fill:#F97316,stroke:#EA580C,color:#fff
+

asciidoc/courses/importing-relational-to-graph/data/northwind.sql

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+%%{init: {'theme': 'base', 'themeVariables': { 'primaryColor': '#4C8EDA', 'primaryTextColor': '#fff', 'lineColor': '#64748B'}}}%%
+graph LR
+    subgraph "Graph Model"
+        C((Customer))
+        O((Order))
+        C -->|PLACED| O
+    end
+
+    subgraph "Relational Model"
+        CT[customers table<br/>customer_id PK]
+        OT[orders table<br/>order_id PK<br/>customer_id FK]
+        CT -.->|referenced by| OT
+    end
+
+    style C fill:#4C8EDA,stroke:#2563EB,color:#fff
+    style O fill:#F59E0B,stroke:#D97706,color:#fff
+    style CT fill:#E2E8F0,stroke:#94A3B8,color:#1E293B
+    style OT fill:#E2E8F0,stroke:#94A3B8,color:#1E293B
+

asciidoc/courses/importing-relational-to-graph/diagrams/01-node-labels.mmd

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+%%{init: {'theme': 'base', 'themeVariables': { 'primaryColor': '#06B6D4', 'primaryTextColor': '#fff', 'lineColor': '#64748B'}}}%%
+graph LR
+    subgraph "Graph Model"
+        E((Employee))
+        O((Order))
+        E -->|PROCESSED| O
+    end
+
+    subgraph "Relational Model"
+        ET[employees table<br/>employee_id PK]
+        OT[orders table<br/>order_id PK<br/>employee_id FK]
+        ET -.->|referenced by| OT
+    end
+
+    style E fill:#06B6D4,stroke:#0891B2,color:#fff
+    style O fill:#F59E0B,stroke:#D97706,color:#fff
+    style ET fill:#E2E8F0,stroke:#94A3B8,color:#1E293B
+    style OT fill:#E2E8F0,stroke:#94A3B8,color:#1E293B
+