https://github.com/turnipdo/pyodbc-data-import-for-ssms-alextheanalyst-ref-

Using Python's pyodbc module to connect to Microsoft SQL Server and import data into SSMS.
https://github.com/turnipdo/pyodbc-data-import-for-ssms-alextheanalyst-ref-

data-engineering pyodbc sql ssms

Last synced: 25 days ago
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Using Python's pyodbc module to connect to Microsoft SQL Server and import data into SSMS.

• Host: GitHub
• URL: https://github.com/turnipdo/pyodbc-data-import-for-ssms-alextheanalyst-ref-
• Owner: Turnipdo
• Created: 2024-05-21T03:50:23.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-06-10T07:52:45.000Z (7 months ago)
• Last Synced: 2024-11-06T01:50:21.698Z (2 months ago)
• Topics: data-engineering, pyodbc, sql, ssms
• Language: Jupyter Notebook
• Homepage: https://github.com/Turnipdo/Portfolio
• Size: 3.76 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# PyODBC Data Import Into SSMS :atom:

Using Python's pyodbc module to connect to Microsoft SQL Server and import data into SSMS.

## Additional info :warning:

This mini project offers an alternative method to importing data into SSMS compared to the process shown in "Alex The Analyst's" Data Analyst Portfolio Project | SQL Data Exploration | Project 1/4 video.


[Link to his video](https://www.youtube.com/watch?v=qfyynHBFOsM)

* Initially, I was unable to import the data into SSMS directly from Excel as a data source.

* Instead, I utilized the pyodbc package in Python to create my tables, which allowed me to insert my data afterward.

* You'll notice that I had to use the `fillna()` function in order to convert them to an acceptable `NULL` value for SSMS.

* The benefit of doing this is that it avoids the need for us to use a `CAST()` or any type of `CONVERT()` to an int datatype because the tables created initially are of float datatypes.

***Note***: *While I fully agree that I could have simply imported a flat file source in SSMS, I opted to explore something different, hence my use of pyodbc as an alternative.* :trollface:

## Requirements :basecamp:

* `SQL Server`

* `SSMS`

* `ODBC Driver For SQL Server`

* `VSCode`

* `PyODBC module`

* `pandas`

* `numpy`

## Instructions :page_with_curl:

* Configure SQL Server and ensure you have an ODBC Driver setup already.

* pip install the `pyodbc`, `pandas`, `numpy` module in VSCode's terminal.

* Use the code.