How to transfer one table into multiple tables?

manishbeniwal  Please Folloe Below Information! Thank You!!

It seems like you're looking for a solution to transfer your data from Power BI to SQL automatically and ensure that the process is ongoing. Based on your requirements and the information provided, here's a comprehensive approach to achieve your goals:

1. **Automated Data Transfer from Power BI to SQL**:

To achieve an automated data transfer from Power BI to SQL, follow these steps:

- **Initial Data Transfer**:
1. Use Power Query in Power BI Desktop to load your data from your source (3M+ records) into Power BI.
2. Set up the necessary transformations and data modeling within Power BI.
3. Publish the Power BI report to the Power BI service.

- **Automated Refresh**:
1. In the Power BI service, schedule the data refresh for your dataset. This involves configuring the dataset to pull data from your source on a regular basis (daily, weekly, etc.).
2. Power BI will automatically refresh the dataset based on the schedule you've set. It will pull the latest data from your source and update the dataset.

2. **Using DAX Studio for Data Transfer**:

DAX Studio is mainly used for writing and analyzing DAX queries. While it's possible to use DAX Studio to transfer data to SQL, it's not a common or efficient method for bulk data transfers. It's more suited for analytical queries within Power BI. Instead, consider using the Power Query capabilities in Power BI Desktop for data transformation and loading.

3. **Splitting Data into Smaller Tables**:

Splitting your 3M+ data table into smaller tables using reference, index columns, and filtering is a valid approach, especially for performance optimization. However, this approach alone won't provide automated refresh capabilities.

- **Automated Refresh for Split Tables**:
1. Set up an ETL (Extract, Transform, Load) process to regularly refresh and update your split tables in SQL from your source data in Power BI.
2. This ETL process could be implemented using tools like SSIS (SQL Server Integration Services), Azure Data Factory, or custom scripts that connect to Power BI's data sources and update the split tables.

In summary:

- Use Power Query in Power BI Desktop to load and transform your data.
- Schedule automated data refresh in the Power BI service for ongoing updates.
- If you've split your data into smaller tables, implement a separate ETL process to refresh those split tables in SQL.

Remember that the choice of tools and technologies (Power BI, SQL, ETL tools) will depend on your existing infrastructure, data volume, and your organization's preferences. Always test your automated processes thoroughly before deploying them in a production environment.