Getting your data from Google Cloud Storage 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 Google Cloud Storage 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.
Panoply integrates with most popular cloud storage systems, including Google Cloud Storage. Google’s Cloud Storage is a secure, only storage system that stores objects via user defined buckets. Panoply makes it simple to move that data into your own Panoply Smart Data Warehouse without any ETL or ELT support.
Once added, your Google Cloud Storage data can be combined and analyzed with all other data sources, giving your analysts an opportunity to identify and drive business decisions from directly within Panoply. Create queries, generate reports, and develop actionable analyses using your Google Cloud data, and all other data you load to Panoply.
Learn more:
Google Cloud Storage Data Warehousing
Google Cloud Storage Business Intelligence
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
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