RESOURCE
The Ultimate Guide to
Evaluating a Data Catalog
Confused about how to find the right data catalog for your team?
This step by step guide along with easily usable templates will make finding the right catalog a breeze!
Reduce your data discovery time
Where does the data come from? Will your business users be able to use it? Find the RIGHT data catalog for enabling self-service
Does your data lake increasingly look like a data swamp?
Adopting a modern data catalog is the first step to creating self-service analytics ecosystems to democratize your data lake, accelerate digital transformation and governance, and reduce time to insight by 60X.
However, before you go ahead and implement one of the many data catalog solutions in the market, you need to identify, evaluate and double-check which of them are best suited to your organization's data needs and complexities.
Create a comprehensive framework for catalog evaluation
Learn to create a customized evaluation criteria and get the most value from a POC (proof-of-concept) in our step-by-step guide.
Download the Guide →
WHAT’S INSIDE…
Discover the five steps to finding the right data catalog for your organization
Step 1
HIt was everywhere in 2021! But what exactly is data mesh?
Step 2
Will we see metrics become first-class citizen in more transformation tools in 2022?
Step 3
Are we close to finally solving the “last mile” problem in the modern data stack?
Step 4
How to structure a central DataOps function and its two key personas
Step 5
Why activating metadata holds the key to the DataOps dream
Meet the data catalog built for the future
Atlan is more than just a data catalog, it is an integrated data workspace for modern teams.
BONUS
Get a 7-point comparison of existing data catalog solutions
In this guide, you'll also find a quick comparison of existing data catalog solutions on their ease-of-use, data integrations, scalability and licensing, compiled from Gartner Peer Review.
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