Analyze your Google Drive data in Python
Getting your data from Google Drive to Python can be a pain. Managing pipelines for all your data sources just isn’t sustainable, but your reporting can’t be put on hold while you wait for IT or Engineering to get to your ticket.
With Panoply, you can eliminate that hassle—and all that wasted time. Set up code-free connections to both Google Drive and Python with just a few clicks. Then Panoply will automatically sync your data so it’s ready to analyze when you are.
It’s that simple: Unblock your data with Panoply.
How it works
Automatically sync and store the data you want with table-level control.
See the Google Drive data Panoply collects
Query-ready data with just a few clicks
Code-free data pipeline
Fuel your analytics
Integrate with Google Drive in minutes
It takes only a few minutes to integrate Google Drive data into your own data warehouse with Panoply. Google Drive, a cloud based file storage solution used to store most common files, such as photos, spreadsheets, and word processing documents, comes fully integrated into the Panoply platform.
You can import your Google Drive files and data without maintaining an ETL or ELT process, and once stored, that data can be combined and connected with other data sources. Panoply’s Smart Data Warehouse uses machine learning and NLP processes to make data access easy. You can then merge your documents, explore your data, and turn your stored Google Drive information into usable analytical data.
Panoply gives businesses a cloud solution that replaces their entire data infrastructure and comes ready to include Google Drive data without having to write or maintain any custom scripts.
Learn more:
Google Drive Data Warehousing
Google Drive Business Intelligence
Other connectors with Google Drive
Integrate with Python in minutes
Love the power of Python for analytics and machine learning but need a way to support it alongside other BI tools? Panoply makes it easy to pipe data to multiple analytics tools with 30+ code-free connectors you can set up in minutes.
Along with eliminating API configuration and maintenance, Panoply automatically stores a copy of your data in the cloud, making your queries faster and more stable. Plus, by powering all your BI and analytics tools with the same centralized data you can ensure that key metrics are consistent across the company, no matter who’s doing the reporting.
Learn more:
Documentation
Other connectors with Python
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