Analyze your SFTP data in Python
Getting your data from SFTP 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 SFTP 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 SFTP data Panoply collects
Query-ready data with just a few clicks
Code-free data pipeline
Fuel your analytics
Integrate with SFTP in minutes
Data security is a critical part of any data warehouse. Panoply’s Secure File Transfer Protocol integration allows you to safely and securely upload your data without worrying about additional security. SFTP, the encrypted secure network protocol, is one of the preferred ways to transfer sensitive information. Panoply allows businesses to take data from nearly any data source, and upload that data securely into the Panoply Smart Data Warehouse. Once there, the data can be analyzed with all other data sources.
SFTP uploads are one of many security solutions integrated into Panoply’s advanced end-to-end data management platform, making it a valuable tool in generating reports and accessing your data.
Learn more:
SFTP Data Warehousing
SFTP Business Intelligence
Other connectors with SFTP
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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