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- Amundsen, the leading open source data catalog
Created by Trusted by names you know Amundsen has made Data Engineers, Data Analysts, and Data Scientists 20+% more productive
- How to use Amundsen with Amazon Neptune - Amundsen
This tutorial will go into setting up Amundsen to integrate with Neptune If you want to find out how to set up a Neptune instance you can find that information at Neptune Setup
- K8S Installation - Amundsen
What is this? This is setup templates for deploying amundsen on k8s (kubernetes), using helm How do I get started? Make sure you have the following command line clients setup: k8s (kubectl) helm Build out a cloud based k8s cluster, such as Amazon EKS Ensure you can connect to your cluster with cli tools in step 1 Prerequisites Helm 2 14
- Application Config - Amundsen
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data
- Models - Amundsen
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data
- Overview - Amundsen
Amundsen is a data discovery and metadata engine for improving the productivity of data analysts, data scientists and engineers when interacting with data It does that today by indexing data resources (tables, dashboards, streams, etc ) and powering a page-rank style search based on usage patterns (e g highly queried tables show up earlier
- How to setup a preview client with Apache Superset - Amundsen
In this tutorial, we will walk through how to configure data preview for this films table using Apache Superset Amundsen provides an integration between Amundsen and BI Viz tool for data preview It is not necessary to use Apache Superset as long as the BI Viz tool provides endpoint to do querying and get the results back from the BI tool
- How to index metadata for real life databases - Amundsen
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data
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