Microsoft OneDrive Python Connector

Read, Write, and Update Microsoft OneDrive with Python

Easily connect Python-based Data Access, Visualization, ORM, ETL, AI/ML, and Custom Apps with Microsoft OneDrive!


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Python Connector Libraries for Microsoft OneDrive Data Connectivity. Integrate Microsoft OneDrive with popular Python tools like Pandas, SQLAlchemy, Dash & petl. Easy-to-use Python Database API (DB-API) Modules connect Microsoft OneDrive data with Python and any Python-based applications.

Features

  • Fully compatible with the OneDrive REST API
  • Use SQL Stored Procedures to perform actions like creating folders, uploading resources, downloading files, and more
  • Connect to live Microsoft OneDrive data, for real-time data access
  • Full support for data aggregation and complex JOINs in SQL queries
  • Secure connectivity through modern cryptography, including TLS 1.2, SHA-256, ECC, etc.
  • Seamless integration with leading BI, reporting, and ETL tools and with custom applications

Specifications

  • Python Database API (DB-API) Modules for Microsoft OneDrive with bi-directional access.
  • Write SQL, get Microsoft OneDrive data. Access Microsoft OneDrive through standard Python Database Connectivity.
  • Integration with popular Python tools like Pandas, SQLAlchemy, Dash & petl.
  • Simple command-line based data exploration of Microsoft OneDrive Files, Changes, Apps, and more!
  • Full Unicode support for data, parameter, & metadata.


CData Python Connectors in Action!

Watch the video overview for a first hand-look at the powerful data integration capabilities included in the CData Python Connectors.

WATCH THE PYTHON CONNECTOR VIDEO OVERVIEW

Python Connectivity with Microsoft OneDrive

Full-featured and consistent SQL access to any supported data source through Python


  • Universal Python Microsoft OneDrive Connectivity

    Easily connect to Microsoft OneDrive data from common Python-based frameworks, including:


    • Data Analysis/Visualization: Jupyter Notebook, pandas, Matplotlib
    • ORM: SQLAlchemy, SQLObject, Storm
    • Web Applications: Dash, Django
    • ETL: Apache Airflow, Luigi, Bonobo, Bubbles, petl
  • Popular Tooling Integration

    The Microsoft OneDrive Connector integrates seamlessly with popular data science and developer tooling like Anaconda, Visual Studio Python IDE, PyCharm, and more. Real Python,

  • Replication and Caching

    Our replication and caching commands make it easy to copy data to local and cloud data stores such as Oracle, SQL Server, Google Cloud SQL, etc. The replication commands include many features that allow for intelligent incremental updates to cached data.

  • String, Date, Numeric SQL Functions

    The Microsoft OneDrive Connector includes a library of 50 plus functions that can manipulate column values into the desired result. Popular examples include Regex, JSON, and XML processing functions.

  • Collaborative Query Processing

    Our Python Connector enhances the capabilities of Microsoft OneDrive with additional client-side processing, when needed, to enable analytic summaries of data such as SUM, AVG, MAX, MIN, etc.

  • Easily Customizable and Configurable

    The data model exposed by our Microsoft OneDrive Connector can easily be customized to add or remove tables/columns, change data types, etc. without requiring a new build. These customizations are supported at runtime using human-readable schema files that are easy to edit.

  • Enterprise-class Secure Connectivity

    Includes standard Enterprise-class security features such as TLS/ SSL data encryption for all client-server communications.

Connecting to Microsoft OneDrive with Python

CData Python Connectors leverage the Database API (DB-API) interface to make it easy to work with Microsoft OneDrive from a wide range of standard Python data tools. Connecting to and working with your data in Python follows a basic pattern, regardless of data source:

  • Configure the connection properties to Microsoft OneDrive
  • Query Microsoft OneDrive to retrieve or update data
  • Connect your Microsoft OneDrive data with Python data tools.


Connecting to Microsoft OneDrive in Python

To connect to your data from Python, import the extension and create a connection:

import cdata.microsoft onedrive as mod
conn = mod.connect("User=user@domain.com; Password=password;")

#Create cursor and iterate over results
cur = conn.cursor()
cur.execute("SELECT * FROM Files")
 
rs = cur.fetchall()
 
for row in rs:
print(row)

Once you import the extension, you can work with all of your enterprise data using the python modules and toolkits that you already know and love, quickly building apps that help you drive business.

Visualize Microsoft OneDrive Data with pandas

The data-centric interfaces of the Microsoft OneDrive Python Connector make it easy to integrate with popular tools like pandas and SQLAlchemy to visualize data in real-time.

engine = create_engine("microsoft onedrive///Password=password&User=user")

df = pandas.read_sql("SELECT * FROM Files", engine)

df.plot()
plt.show()

More Than Read-Only: Full Update/CRUD Support

Microsoft OneDrive Connector goes beyond read-only functionality to deliver full support for Create, Read Update, and Delete operations (CRUD). Your end-users can interact with the data presented by the Microsoft OneDrive Connector as easily as interacting with a database table.