Seamlessly Sync Your Microsoft Azure SQL Data Warehouse Data to Jupyter
Sync, store, and access all your business data with Panoply
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 Azure SQL Data Warehouse 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 Azure SQL Data Warehouse 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 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.
Other integrations with Microsoft Azure SQL Data Warehouse
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.
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Start syncing your Microsoft Azure SQL Data Warehouse data to Jupyter now. Get a full Panoply trial free for 14 days.