Analyze your Elasticsearch data in Jupyter
Getting your data from Elasticsearch 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 Elasticsearch 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.
How it works
Automatically sync and store the data you want with table-level control.
See the Elasticsearch data Panoply collects
Query-ready data with just a few clicks
Code-free data pipeline
Fuel your analytics
Integrate with Elasticsearch in minutes
Panoply’s out of the box integrations include Elasticsearch analytics. In minutes, your Elasticsearch data can be added to your own cloud based Panoply Data Warehouse for instant access, becoming part of the Panoply end-to-end data management platform. Elasticsearch is an open source search and analytics engine that organization use to both analyze and query many different types of data, including: Structured Data, Unstructured Data, Geographic Data, and More. Panoply lets you connect and combine your analytics with other data in the cloud, creating a relational data warehouse for your Elasticsearch data. There, you can generate custom reports and dashboards from within the Panoply platform. Give your analysts an opportunity to explore trends and patterns without having to write or maintain scripts, and make discoveries that will help your business grow.
Learn more:
Elasticsearch Data Warehousing
Elasticsearch Business Intelligence
Other connectors with Elasticsearch
Integrate with Jupyter in minutes
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
Other connectors with Jupyter
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