Analyze your Vero and Jupyter data together

Integrating Vero and Jupyter has never been easier. Try Panoply for Free
Easily integrate data from over 80+ sources so it’s always ready for action.

Panoply in 30 seconds

See how easy it is to connect your data using Panoply. In just a few minutes, you can set up a data warehouse and start syncing your Vero data.

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Fuel your analytics

Panoply automatically organizes data into query-ready tables and connects to popular BI tools like Jupyter as well as analytical notebooks. From executives to analysts, your entire team will have access to the most up-to-date data and insights they need to drive your business forward.

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Code-free data pipeline

Seamlessly sync Vero and all your other data sources with Panoply’s built-in ETL. Set up a pipeline in minutes with our simple point-and-click interface, then we’ll handle the ongoing maintenance so you can focus on building value, not fixing leaky plumbing.

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All your data in one place

Easily sync and store over 80+ data sources. Break down the silos separating your data to create a single source of truth your whole company can rely on.

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Integrate with Vero in minutes

Finding the right balance between making your Social data accessible and maintaining control over your Vero account can be tricky. Panoply’s combination of ETL and data warehousing is an easy way to share data without giving everyone in the company the login. In just a few minutes, connect to Panoply to create a secure copy of your data that can be sent to your favorite business intelligence tool. With that pipeline in place, your data stays safe and your team can create the reports and dashboards they need.
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Vero is a Partner Data Source. Please see our Documentation to learn more about partner data sources.

Integrate with Jupyter in minutes

With open source Jupyter Notebook, programmers create and share interactive code, visual graphics, and text. This BI tool supports script in over 40 languages. It integrates to large data platforms like Apache Spark from Python, R and Scala. You can share Jupyter Notebook work through email, Dropbox, GitHub or the Jupyter Notebook Viewer. As with any data operations, you need an ETL to extract, transform and output your Jupyter Notebook code work. Panoply’s Jupyter Notebook integration makes the ETL process easy and seamless. This fully automated pipeline manages the entire ETL workflow on the cloud in real time. With Panoply, your data is continuously uploaded, cleaned and streamed to the client side. So the output you share is always the most relevant and up to date.

Learn more:
Documentation

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