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How to build an efficient permission management system for a data catalog
An organization’s data catalog enhances all available data assets by relying on two types of information - on the ...

Data Sampling: create subsets for a more fluid data analysis
Your data culture is growing! But if the amount of data at your disposal is exploding, then you may find it ...

Zeenea will participate in the Big Data Europe organized by Scale Up 360 (virtual)
Don't miss our virtual conference!
On November 24 - 11:45 am CET, Luc Legardeur - VP International Operations at ...

Exploiting the value of Data Lineage in the organization: A user-centric approach
In our previous article, we broke down Data Lineage by presenting the different lineage typologies (physical ...

Data literacy: the foundation for effective data governance
On September 28th and 29th, we attended several conferences during the Big Data & AI Paris 2021. One of ...

Breaking down Data Lineage: typologies and granularity
As a concept, Data Lineage seems universal: whatever the sector of activity, any stakeholder in a data-driven ...

What if you were to embark on the path of Data Intelligence?
Better understand your data for it to be used more quickly and efficiently: this is the promise of this ...

How pivoting to a SaaS model allowed 320 production releases in 6 months
After starting out as an on-premise data catalog solution, Zeenea made the decision to switch to a fully SaaS ...

Constitution of our Data Democracy
Read the 10 rules you must follow for perfect data democratization in your organization. Article 1 - ...

Zeenea Exchange : 15 companies share their metadata management experiences and best practices
On October 12th, we invited our French-speaking customers to a round table discussion on the following topic: ...

Zeenea will be part of BARC’s “Top Vendors” Webinar for Data Catalogs!
Zeenea is proud to announce that we will be part of BARC's Top Vendors Webinar "Data Catalog: The Portal to ...

Data Mining: definition, benefits, and uses
You’ve collected your data. But have you prepared, organized, and prioritized it? Now you have to go even further ...