Seamlessly Sync Your Microsoft Excel Data to Jupyter

Integrating Microsoft Excel and Jupyter has never been easier. Try Panoply for Free
Easily integrate data from over 30+ 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 Microsoft Excel 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 Microsoft Excel 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 30+ 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 Microsoft Excel in minutes

People and businesses all over the world rely on Microsoft Excel to process, analyze, and display their data. This classic BI tool has some new modern features. Examples are learned intelligence that organizes your data based on recognized patterns, prebuilt advanced formulas and one-click templates for predictive charts, and real-time collaboration in shared files. You can add fast, automated data management and cloud convenience and security to Excel with the Panoply integration. Panoply manages your data in the only fully integrated cloud service that combines an automated ETL with a data warehouse. It continuously uploads, sorts, and stores all your latest data in one place, saving you time and data prep effort. The Panoply ETL pipeline streams your latest, cleanest data to your Excel charts and graphs, so they always display the most relevant results.

Learn more:
Documentation
Microsoft Excel Data Warehousing
Microsoft Excel Business Intelligence

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etleap
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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

See all Integrations

Other integrations with Jupyter

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Amazon S3
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Facebook Ads
Jupyter +
Google Ads
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Google Analytics
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Zendesk
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Shopify
Jupyter +
Microsoft Azure SQL Data Warehouse
Jupyter +
Microsoft Excel
Jupyter +
Stitch
Jupyter +
Twitter
Jupyter +
Fivetran
Jupyter +
JSON
Jupyter +
Google Sheets
Jupyter +
BigQuery
Jupyter +
LinkedIn Ads
Jupyter +
Google Cloud Datastore
Jupyter +
Instagram for Business
Jupyter +
CSV
Jupyter +
Singer
Jupyter +
Google Search Console
Jupyter +
Stripe
Jupyter +
Segment
Jupyter +
Twitter Ads
Jupyter +
Woocommerce
Jupyter +
Asana
Jupyter +
Intercom
Jupyter +
Delighted
Jupyter +
Facebook Posts
Jupyter +
Facebook Pages
Jupyter +
MailChimp
Jupyter +
Twilio
Jupyter +
Elasticsearch
Jupyter +
Upload Data
Jupyter +
Microsoft SQL Server
Jupyter +
Bing Ads
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Wordpress
Jupyter +
Pardot
Jupyter +
Google Cloud Storage
Jupyter +
Redshift
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AppsFlyer
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Amazon DynamoDB
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Google Analytics Ecommerce
Jupyter +
GitHub
Jupyter +
Attunity
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Informatica PowerCenter
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Jaspersoft
Jupyter +
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Slamdata
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Magento
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AdRoll
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AfterShip
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Amazon Cloudfront
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Azure Blob Storage
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Jupyter +
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Jupyter +
IBM Cognos
Jupyter +
JackDB
Jupyter +
Klipfolio
Jupyter +
KNIME
Jupyter +
Looker
Jupyter +
Metabase
Jupyter +
MicroStrategy
Jupyter +
Mode Analytics
Jupyter +
Pentaho
Jupyter +
Plotly
Jupyter +
PopSQL
Jupyter +
Power BI
Jupyter +
Python
Jupyter +
Qlik
Jupyter +
R
Jupyter +
Redash
Jupyter +
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Jupyter +
Shiny
Jupyter +
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Jupyter +
ThoughtSpot
Jupyter +
TIBCO Spotfire X
Jupyter +
Trevor.io
Jupyter +
Trifacta
Jupyter +
Yellowfin
Jupyter +
Zoho Analytics

Try It Now

Start syncing your Microsoft Excel data to Jupyter now. Get a full Panoply trial free for 14 days.

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Frequently Asked Questions

How do I connect Jupyter to my Microsoft Excel data?
To analyze your Microsoft Excel data in Jupyter, you’ll first create a connection to Panoply. Panoply stores a replica of your Microsoft Excel data and syncs it so it’s always up-to-date and ready for analysis. You can connect Jupyter to your Microsoft Excel data in Panoply via an ODBC connection.
What data can I integrate with Jupyter?
Panoply allows you to integrate Jupyter with 60+ data integrations including all major CRMs, databases, file systems, ad networks, analytics platforms, and finance tools. All of your data is stored in ready-to-analyze tables that can be joined together with SQL or merged in your BI tools. Integrating data for cross-channel advertising analysis, full-funnel conversion analysis, and CAC vs LTV analysis has never been so easy.
What is Panoply?
Panoply is a secure place to sync, store, and access all your business data. With unlimited access to over 60 data integrations, Panoply makes it possible to create an integrated view of your entire business. Everyone in your organization can share this single source of truth across any BI tool or analytical notebook with unlimited queries from unlimited users.

Technically speaking, Panoply provides the ETL (Extract, Transform, Load) and data warehouse functionality in one platform with the added benefit of simple role-based data governance, the security of AWS infrastructure, and SOC-2 and GDPR compliance.