Analyze your JSON data in Jupyter
Getting your data from JSON 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 JSON 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 JSON data Panoply collects
Query-ready data with just a few clicks
Code-free data pipeline
Fuel your analytics
Integrate with JSON in minutes
JavaScript Object Notation (JSON) is a lightweight data-interchange file format based on the JavaScript programming language. JSON text format is often used to transfer data files between web apps and servers. Its language conventions are like those of other programming languages, which makes JSON convenient for programmers. Because JSON is so easy for both machines and humans to work with, large amounts of source data are often stored in JSON files.
In any data operations, including those that involve JSON files, an ETL method is needed to upload, process, and store JSON and other related data. The Panoply JSON integration makes it easy to extract JSON data, combine it with all your other data sources, and store it in one secure location. Panoply AI-driven data pipeline speeds and manages the entire process on the only enterprise-level cloud service that combines an automated ETL with a data warehouse.
Learn more:
Documentation
JSON Data Warehousing
JSON Business Intelligence
Other connectors with JSON
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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