I have a relational database for my product EmpowerID named EmpowerID in Microsoft Azure SQL. My database has a table named Account with a unique identifer of type in called accountID and of type guid named AccountGUID. I have another table named Group with a unique identifier of type in called GroupID and of type guid named GroupGUID. The membership of accounts in groups is stored in the GroupAccount table which has the foreign Key GroupID and AccountID. Nested group memberships are stored in a table named GroupMemberGroup which has the GroupID and the MemberGroupID columns. How can I get my relational data from my Microsoft sql database into a neo4j graph database to view the graph representation of group memberships
To migrate your relational data from a Microsoft Azure SQL database to a Neo4j graph database, you can follow a structured approach. This involves extracting the data from your SQL database, transforming it into a suitable format for Neo4j, and then loading it into the Neo4j database. Below are the steps to achieve this:

### Step 1: Extract Data from Azure SQL Database

You will need to extract data from the `Account`, `Group`, `GroupAccount`, and `GroupMemberGroup` tables. You can use a SQL query to retrieve this data. Here are example queries for each table:

```sql
-- Get all accounts
SELECT accountID, AccountGUID FROM Account;

-- Get all groups
SELECT GroupID, GroupGUID FROM Group;

-- Get all group memberships
SELECT GroupID, AccountID FROM GroupAccount;

-- Get all nested group memberships
SELECT GroupID, MemberGroupID FROM GroupMemberGroup;
```

### Step 2: Transform Data into a Suitable Format

You will need to transform the extracted data into a format that Neo4j can understand, typically in CSV format. Here's how you can structure your data:

1. **Accounts CSV**: 
   - Columns: `accountID, AccountGUID`
  
2. **Groups CSV**: 
   - Columns: `GroupID, GroupGUID`
  
3. **Group Memberships CSV**: 
   - Columns: `GroupID, AccountID`
  
4. **Nested
  There are several ways to migrate relational data from a Microsoft SQL database to a Neo4j graph database, depending on the specific structure of your data and the desired graph representation. Here are a few common approaches:

1. Use the Neo4j Import tool: Neo4j provides an import tool that can be used to import data from a variety of sources, including Microsoft SQL databases. You can use the import tool to create a Cypher script that defines the structure of your graph, and then use the script to import your relational data into the graph.
2. Use a SQL-to-Cypher mapping tool: There are several tools available that can map SQL queries to Cypher scripts, allowing you to easily migrate your relational data to a Neo4j graph. Some popular tools include:
	* Neo4j's SQL-to-Cypher tool: This tool allows you to define a SQL query, and then generates a Cypher script that can be used to import the data into a Neo4j graph.
	* GraphCrunch: This tool allows you to map SQL queries to Cypher scripts, and also provides additional features such as data transformation and filtering.
	* SQL2Cypher: This tool allows you to map SQL queries to Cypher scripts, and also provides additional features such as data transformation and filtering.
3. Manually create the graph structure: If you have