Analyze your Upload Data data in Jupyter
Getting your data from Upload Data 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 Upload Data 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 Upload Data data Panoply collects
Query-ready data with just a few clicks
Code-free data pipeline
Fuel your analytics
Integrate with Upload Data in minutes
Panoply provides out of the box integration with dozens of popular data sources, allowing you to query and analyze your data instantly without requiring thousands of lines of custom code. While Panoply works with many popular storage and database solutions, including Amazon S3, MySQL, and Postgres, Panoply is also programmed to allow uploads of your own data files. Many different types of files and data technologies can be uploaded directly to Panoply, including:
- .csv * .json * .txt * .gzip * .tar Panoply’s machine learning and NLP system models automate the data management process so that no ETL process is necessary. For custom data uploads, Panoply has several SDKs that reduce development time substantially.
Once the data is uploaded, it is instantly available for analyses and can be combined with all other data sources. Fast and simple, Panoply makes it easier to manage your data without a sizeable data warehousing infrastructure.
Learn more:
Documentation
Upload Data Data Warehousing
Upload Data Business Intelligence
Other integrations with Upload Data
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 integrations with Jupyter
Try It Now
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