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With over 80 data source connections, you can gather all your business data in one place in minutes. You’ll never have to worry about silos separating your CRM, database, advertising, analytics, or other business data.

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With Panoply, your data has the power to transform your business. Panoply prepares your data into easy-to-analyze tables and connects to all popular BI tools and analytical notebooks. From the executives to the analysts, everyone will have the most up-to-date data and the insights they need to drive your business forward.

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Integrations BI Tools Jupyter

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.
See all Integrations

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Amazon S3
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Facebook Ads
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Google Ads
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Google Analytics
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Shopify
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Zendesk
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Microsoft Azure SQL Data Warehouse
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Google Sheets
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JSON
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Youtube
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Twitter
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BigQuery
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LinkedIn Ads
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Instagram
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Hadoop
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CSV
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Google Cloud Datastore
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Twitter Ads
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Twilio
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Google Cloud Storage
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Google AdSense
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MailChimp
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GitHub
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etleap
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Amazon Aurora PostgreSQL
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Amazon Cloudfront
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Amazon Kinesis Firehose
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Apple Search Ads
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Autopilot
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Azure Blob Storage
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Braintree Payments
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Branch
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BranchTrack
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Codat
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Contact Pigeon
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Google Cloud SQL Postgres
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Google Drive
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Help Scout
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Heroku Postgres
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IBM DB2
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Mailjet
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MariaDB
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SFTP
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Zendesk Chat
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Integrations Data Warehouses Microsoft Azure SQL Data Warehouse

Integrate with Microsoft Azure SQL Data Warehouse in minutes

Panoply provides end to end data automation, from extraction to analysis, all with an ETL-free pipeline that is capable of connecting to both structured and semi-structured data sources. One of its newest data warehouse integrations is with Microsoft Azure SQL Data Warehouse.It takes only a few minutes to setup Panoply's integration with Azure SQL Data Warehouse, allowing businesses of all sizes to import their historical data using Panoply's data connectors into their Azure SQL Data Warehouse with only a few clicks. With Panoply, your Azure SQL Data Warehouse can be populated with data from dozens of sources and can be analyzed along with any additional data sources you may collect. With Panoply, you can start ingesting data the pain-free way with Panoply for Microsoft Azure SQL Data warehouse.
See all Integrations

Other integrations with Microsoft Azure SQL Data Warehouse

Microsoft Azure SQL Data Warehouse +
Chartio
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Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
Redash
Microsoft Azure SQL Data Warehouse +
Google Data Studio
Microsoft Azure SQL Data Warehouse +
Apache Superset
Microsoft Azure SQL Data Warehouse +
Amazon QuickSight
Microsoft Azure SQL Data Warehouse +
Domo
Microsoft Azure SQL Data Warehouse +
Grafana
Microsoft Azure SQL Data Warehouse +
Microsoft Excel
Microsoft Azure SQL Data Warehouse +
Qlik
Microsoft Azure SQL Data Warehouse +
Alteryx
Microsoft Azure SQL Data Warehouse +
Apache Zeppelin
Microsoft Azure SQL Data Warehouse +
Birst
Microsoft Azure SQL Data Warehouse +
CARTO
Microsoft Azure SQL Data Warehouse +
Databricks
Microsoft Azure SQL Data Warehouse +
GoodData
Microsoft Azure SQL Data Warehouse +
Holistics
Microsoft Azure SQL Data Warehouse +
IBM Cognos
Microsoft Azure SQL Data Warehouse +
JackDB
Microsoft Azure SQL Data Warehouse +
Jupyter
Microsoft Azure SQL Data Warehouse +
Klipfolio
Microsoft Azure SQL Data Warehouse +
KNIME
Microsoft Azure SQL Data Warehouse +
Magento BI
Microsoft Azure SQL Data Warehouse +
MicroStrategy
Microsoft Azure SQL Data Warehouse +
Pentaho
Microsoft Azure SQL Data Warehouse +
Plotly
Microsoft Azure SQL Data Warehouse +
PopSQL
Microsoft Azure SQL Data Warehouse +
Python
Microsoft Azure SQL Data Warehouse +
R
Microsoft Azure SQL Data Warehouse +
SeekWell
Microsoft Azure SQL Data Warehouse +
Shiny
Microsoft Azure SQL Data Warehouse +
ThoughtSpot
Microsoft Azure SQL Data Warehouse +
TIBCO Spotfire X
Microsoft Azure SQL Data Warehouse +
Trevor.io
Microsoft Azure SQL Data Warehouse +
Trifacta
Microsoft Azure SQL Data Warehouse +
Yellowfin
Microsoft Azure SQL Data Warehouse +
Zoho Analytics
Microsoft Azure SQL Data Warehouse +
Alooma
Microsoft Azure SQL Data Warehouse +
Amazon Aurora
Microsoft Azure SQL Data Warehouse +
Amazon DynamoDB
Microsoft Azure SQL Data Warehouse +
Amazon S3
Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
AppsFlyer
Microsoft Azure SQL Data Warehouse +
Asana
Microsoft Azure SQL Data Warehouse +
Attunity
Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
Bing Ads
Microsoft Azure SQL Data Warehouse +
Blendo
Microsoft Azure SQL Data Warehouse +
ConvertKit
Microsoft Azure SQL Data Warehouse +
CSV
Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
Facebook Ads
Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
Google AdSense
Microsoft Azure SQL Data Warehouse +
Google Ads
Microsoft Azure SQL Data Warehouse +
Google Analytics
Microsoft Azure SQL Data Warehouse +
Google Cloud Datastore
Microsoft Azure SQL Data Warehouse +
Google Cloud Storage
Microsoft Azure SQL Data Warehouse +
Google Analytics Ecommerce
Microsoft Azure SQL Data Warehouse +
Google Search Console
Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
Hadoop
Microsoft Azure SQL Data Warehouse +
HubSpot
Microsoft Azure SQL Data Warehouse +
Informatica PowerCenter
Microsoft Azure SQL Data Warehouse +
Instagram
Microsoft Azure SQL Data Warehouse +
Intercom
Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
JSON
Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
Matillion
Microsoft Azure SQL Data Warehouse +
Microsoft SQL Server
Microsoft Azure SQL Data Warehouse +
MixPanel
Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
Pardot
Microsoft Azure SQL Data Warehouse +
Pendo
Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
RabbitMQ
Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
Rivery
Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
Segment
Microsoft Azure SQL Data Warehouse +
Shopify
Microsoft Azure SQL Data Warehouse +
Skyvia
Microsoft Azure SQL Data Warehouse +
Slamdata
Microsoft Azure SQL Data Warehouse +
SnapLogic
Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
Stripe
Microsoft Azure SQL Data Warehouse +
Sybase
Microsoft Azure SQL Data Warehouse +
Talend
Microsoft Azure SQL Data Warehouse +
Tray.io
Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
Twilio
Microsoft Azure SQL Data Warehouse +
Twitter Ads
Microsoft Azure SQL Data Warehouse +
Twitter
Microsoft Azure SQL Data Warehouse +
Typeform
Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
Wordpress
Microsoft Azure SQL Data Warehouse +
Xero
Microsoft Azure SQL Data Warehouse +
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Microsoft Azure SQL Data Warehouse +
Youtube
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Zoho CRM

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Common Questions

How do I connect Jupyter to my Microsoft Azure SQL Data Warehouse data?
To start analyzing your Microsoft Azure SQL Data Warehouse data in Jupyter, you’ll first create a connection to Panoply. Panoply stores a replica of your Microsoft Azure SQL Data Warehouse data and syncs it so it’s always up-to-date and ready for analysis. You can connect Jupyter to your Microsoft Azure SQL Data Warehouse data in Panoply via an ODBC connection.
What data can I integrate with Jupyter?
Panoply allows you to integrate Jupyter with over 80 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 80 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.