Analyze Elasticsearch data in Jupyter.
Load your Elasticsearch data to your data warehouse to run custom SQL queries on your customer data and to generate reports and dashboards using Jupyter. Combine your Elasticsearch data with data from other sources to make it even more valuable.
How it works
By leveraging the Alooma enterprise data pipeline, you can easily integrate, connect, and watch your Elasticsearch data flow into Jupyter.
Integrate
Add Elasticsearch as a data source.
Connect
Map Elasticsearch data to Jupyter.
Watch
See Elasticsearch data flow into Jupyter.
Export your Elasticsearch data along with all of
your other data sources to Jupyter.
Elasticsearch is an open-source search server based on Lucene. It provides a distributed, multitenant-capable full-text search engine with a RESTful web interface and schema-free JSON documents.
The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text.
Bring all your data sources together
Select from any number of data sources, from low to high volume, Alooma’s infrastructure scales to your needs.
