You've put data at the center of your company's business strategy, but the amount of data you have to handle is ...
In order to stand out from the competition, offer an adapted customer experience, reinforce innovation, and ...
You have data - and lots of it. However, it is messy, incomplete, and scattered into several different platforms, ...
Metadata management is an important component in a data management project and it requires more than just the data ...
Metadata management is an important component in a data management project and it requires more than just the data ...
By implementing a data stewardship program in your organization, you ensure not only the quality of your data but ...
A data catalog harnesses enormous amounts of very diverse information - and its volume will grow ...
Your company produces or uses more and more data? To better classify, manage, and give meaning to your data, ...
Created in 2010, WeWork is a global office & workspace leasing company. Their objective is to provide space ...
Data literacy has been a trending topic for a few years, and it is known that it is a vital skill for enterprises ...
When talking about data management, we often speak of the term “data preparation”.
According to ...
The recent global pandemic has left many organizations in an uncertain and fragile state. It is therefore a ...
In this age where data is all around us, organizations have increasingly been investing in data management ...
Data lakes offer an unlimited storage for data and present lots of potential benefits for data scientists in the ...
”There aren’t enough expert data scientists to meet data science and machine learning demands, hence the ...
In 2019, the Data Scientist was named most promising job by LinkedIn. From Fortune 500 companies to small ...
In the data world, a business glossary is a sacred text that represents long hours of hard work and collaboration ...
Exploding quantities of data have the potential to fuel innovation and produce more value for organizations. ...
In order to optimize their business strategies and improve productivity, data-driven organizations are seeing a ...
Metadata is becoming increasingly important for modern data-driven enterprises. In a world where the data ...
Data management can be defined as the process of ingesting, storing, organizing and maintaining all data created ...
Metadata management is emerging discipline and is necessary for enterprises wishing to bolster innovation or ...
Metadata management is emerging discipline and is necessary for enterprises wishing to bolster innovation or ...
Metadata management is emerging discipline and is necessary for enterprises wishing to bolster innovation or ...
As the world leader in the music streaming market, it is without question that the huge firm is driven by ...
Data life cycle analysis is an element in data management that enterprises are still struggling to ...
In our last article, we spoke of Uber’s Databook , an in-house platform designed by their very own engineers with ...
Uber is one of the most fascinating companies to emerge over the past decade. Founded in 2009, Uber grew to become ...
"By 2021, organizations will spend twice as much effort in managing metadata compared with 2018 in order to ...
In metadata management, we often talk about data dictionaries and business glossaries. Although they might ...
“Data is content, and metadata is context. Metadata can be much more revealing than data, especially when ...
Our conviction requires a company to make compromises between control and flexibility in the use of data. In ...
Zeenea’s participation in the AI & Big Data Global Expo in London on the 25th and 26th of April has officially ...
On the 4th, 5th and 6th of March, Zeenea had the opportunity to attend the famous Data & Analytics Summit ...
Dealing with large volumes of data is essential to any organization's success. But knowing what kind of data it ...
AirBnB is a burgeoning enterprise. To keep pace with their rapid expansion, AirBnB needed to really think about ...
The arrival of Big Data did not simplify how enterprises work with data. The volume, the variety, and the ...