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The data-driven decision-making trends in 2022 – BARC Data Culture Survey 23
Zeenea is a proud sponsor of BARC’s Data Culture Survey 23. Get your free copy here.In last year’s BARC Data ...

How to liberalize data access & empower data users – Check out BARC’s Data Culture Survey 23
Zeenea is a proud sponsor of BARC’s Data Culture Survey 23. Get your free copy here.“Data culture eats data ...

What is data modeling?
Data modeling is a central step of software engineering. A data-driven company's objectives are to evaluate all ...

What is the difference between Data Fabric and Data Mesh?
At first, organizations were focused on collecting their enterprise data. Now, the challenge is to leverage ...

How does a Data Catalog reinforce the 4 fundamental principles of Data Mesh?
Introduction: what is data mesh?
As companies are becoming more aware of the importance of their data, they are ...

Join Zeenea at Dataversity’s Demo Day – Data Governance 2022!
On November 9th, Zeenea will be presenting its data cataloging solution at DATAVERSITY’s Data Governance Demo Day, ...

The guide to becoming data-driven by Airbnb
Since 2008, Airbnb has grown tremendously with over 6 million listings and 4 million hosts worldwide - becoming a ...

What is Data Integrity?
Because we have entered a world where data is your company's most valuable asset: the quality, security, and ...

All you need to know about Data Observability
Companies are collecting and processing more data than they did before and much less than they will tomorrow. ...

The traps to avoid for a successful data catalog project – Technical integration
Metadata management is an important component in a data management project and it requires more than just the data ...

The traps to avoid for a successful data catalog project – Project Leadership
Metadata management is an important component in a data management project and it requires more than just the data ...

The traps to avoid for a successful data catalog project – Internal sponsorship
Metadata management is an important component in a data management project and it requires more than just the data ...