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Happy new year 2021 from Zeenea! Better days are coming
Zeenea wishes you a very happy New Year 2021! ⭐️
It is no secret that the year 2020 will be one to remember! This ...
Marquez: the metadata discovery solution at WeWork
Created in 2010, WeWork is a global office & workspace leasing company. Their objective is to provide space ...
Machine Learning Data Catalogs: good but not good enough!
How can you benefit from a Machine Learning Data Catalog?
You can use Machine Learning Data Catalogs (MLDCs) to ...
What is a knowledge graph and how can it empower data catalog capabilities?
Knowledge graphs have been interacting with us for quite some time. Whether it be through personalized shopping ...
What is Data Literacy? Tips on becoming data literate.
Data literacy has been a trending topic for a few years, and it is known that it is a vital skill for enterprises ...
Air France: Their Big Data strategy in a hybrid cloud context
Air France-KLM is the leading group in terms of international traffic departing from Europe. The airline is a ...
What is the difference between a Data Owner and a Data Steward?
What is the difference between a data steward and a data owner? This question comes up over and over ...
How to deploy effective data governance, adopted by everyone
It is no secret that the recent global pandemic has completely changed the way people do business. In March ...
BARC, the consulting firm, states Zeenea is The Adaptive Data Catalog
Last week, we had the pleasure to read this statement done by BARC in their last briefing research: “Zeenea is the ...
Retail 4.0: How Monoprix migrated to the Cloud
Omni-channel leader with a presence in more than 250 cities in France, Monoprix, french retail chain, offers ...
New white paper: “Data Discovery through the eyes of Tech Giants”
Learn about the data discovery solutions developed by various Tech Giants that enabled their data teams to ...
A smart data catalog, a must-have for data leaders
The term "smart data catalog" has become a buzzword over the past few months. However, when referring to something ...
