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July 29, 2021
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min read

Top 2 Reasons Why Data Catalogs Fail

You notice that data producers and data consumers don't know what data exists, how to use it, and what is trustworthy. You see a ton of questions on slack and a real hit on the productivity of the data team. You get a big fancy data catalog—it has lots of bells and whistles but months go by and no one uses it. Your data catalog never gets adopted. I have seen this story play out so many times. Here are the top 2 reasons why, despite all good intentions, many data catalogs end up failing.

August 4, 2021
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min read

How-to: Setup OIDC Authentication in Amundsen

Okta, Google, and others provide user authentication and have native support for Open ID Connect (OIDC) for all of their customers. This step-by-step guide will explain how to enable OIDC for your Amundsen installation.

July 29, 2021
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min read

How to Make Your Data Catalog Successful

Too many data catalog installs fail at getting adoption. I take a stab at what makes a data catalog install successful with learnings from dozens of companies.

There are only 2 goals that matter when it comes to measuring the success of a data catalog: 1) adoption, and 2) customer satisfaction. If you nail these two, you are successful.

July 29, 2021
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5
min read

Stemma: Helping you trust your data

Today, we are excited to announce the launch of Stemma - a fully managed data catalog, powered by Amundsen, the leading open-source data catalog with the largest community and broadest adoption. We raised $4.8M in seed funding led by Sequoia to bring the power of the leading open-source data catalog to every organization.

July 29, 2021
March 18, 2021
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5
min read

Amundsen deployment best practices

Almost any organization using Amundsen will need to make custom changes to their install. Unfortunately, this has been a long-time issue for the community. This post is the first in a step-by-step guide to getting a fully customized enterprise deployment of Amundsen¹, based on how Stemma deploys Amundsen for its customers.

July 29, 2021
December 1, 2020
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7
min read

The data production- consumption gap

All recent innovation in data has taken place in two areas — helping data engineers produce data, and helping data consumers (primarily data analysts and scientists) consume that data.