Analyze your Facebook Pages data in Jupyter
Getting your data from Facebook Pages to Jupyter 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 Facebook Pages and Jupyter 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 Facebook Pages data Panoply collects
Query-ready data with just a few clicks
Code-free data pipeline
Fuel your analytics
Integrate with Facebook Pages in minutes
Panoply comes with several Facebook integrations, including Facebook page data. Facebook’s business page analytics provides thorough data ripe for analysis, including active users, cohorts, funnels, and more. That data can be instantly integrated into your Panoply data warehouse, where your logged event and page data can be combined and analyzed with all of your data sources.
With Panoply, Facebook Pages data instantly becomes a usable part of your existing datasets, without requiring any ETL or ELT process or any custom scripts. From within the Panoply platform, you can start to query and analyze that data right away, and leverage your business page to better support your company’s marketing and sales efforts.
Learn more:
Documentation
Facebook Pages Data Warehousing
Facebook Pages Business Intelligence
Other connectors with Facebook Pages
Integrate with Jupyter in minutes
You live in Jupyter Notebooks for analytics and prototyping and you love the flexibility and expressiveness of Python, Pandas, R and Julia, but your business users need the ease of a user-friendly BI tool. Supporting both is no problem with Panoply. We make it easy to sync data from 30+ data sources to multiple analytics tools, no code required.
Along with eliminating tedious setup and maintenance, Panoply’s built-in storage makes your queries faster, your pipelines more robust, and ensures that all your reporting is based on a single source of truth. Don’t choose between the open source tool you love and the BI tool the rest of the company can’t live without—power both with Panoply.
Learn more:
Documentation
Other connectors with Jupyter
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