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Over the past couple of years, a substantial number of potential Zeenea customers our sales team has contacted have attempted in one form or another to build their own internal data catalog.

These DIY efforts have usually been initiated by the more technically savvy data stakeholders. One oft-cited motivation behind these initiatives has been a wish to develop a customized tool with company-specific lists of features for company-specific needs.

Indeed, this “build vs buy” choice has sometimes stemmed from a perception that data catalog vendors won’t necessarily have all the technical features needed or, conversely, will offer cataloging features that…


The recent arrival of Cloud-native knowledge graph-based data catalogs have disrupted more traditional approaches to enterprise knowledge management. Moreover, the growing popularity of Machine Learning, Analytics, and Visualization within these platforms have all impacted the data management landscape. It seems therefore worthwhile looking into how Master Data Management fits into all this.

Master Data Management (MDM) has been an enterprise feature for decades but we have discovered here at Zeenea that it often means different things to different clients.

The Gartner group describes Master Data Management thus:

“Master data management (MDM) is a technology-enabled discipline in which business and IT…


Do you work with data in your organization ?

Gartner stated that : “By 2021, organizations will spend twice as much effort in managing metadata compared with 2018 in order to assess the value and risks associated with the data and its use.”

In this article, learn all you need to know about metadata management.

Definitions of Data and Metadata

For the majority of people, the concepts of metadata and data are unclear. Even though both are a form of data, their uses and specifications are completely different.

Data is a collection of information such as observations, measurements, facts, and descriptions of certain things. …


The notion of governance associated with information systems first appeared in the 90’s. It refers to the IT management resources implemented in an enterprise to achieve its strategic objectives. With the explosion of new technology for the purpose of collecting and sharing information, new security rules to guarantee data protection have been imposed.

In the context of fundamental digital changes, enterprises bear witness to the massive volume of data generated for their race to innovation. This influx of information is leading enterprises to initiate a data-driven governance in a global and transversal way like a strategy-focused priority.

Data Governance definitions

We like to…


As topics on data are still considered to be extremely technical, it is necessary for data to be shared and understandable by the large majority of the company in order for it to innovate.

This is the very purpose of a data catalog: to democratize data understanding! Data catalogs don’t require technical expertise to explore, understand, and trust in an enterprise’s data assets. Business analysts, data scientists, and even marketing teams can become autonomous in data discovery. …


As data has the potential to fuel innovation and produce more value, many enterprises invest in numerous technologies and pay handsomely for expert analytical talent. Yet, data still isn’t considered as a basis for strategic decision making! This is because many companies think becoming data driven is a technical challenge, rather than a cultural challenge.

The definition of data culture

”Data culture” is a concept that is becoming increasingly important to put in place, especially for organizations developing their digital and data driven strategies. Just like organizational or corporate culture, data culture refers to a workplace environment where decisions are made through emphatic and empirical…


When data is created, so is metadata. However, this type of information is not enough to properly manage data in this expanding digital era; data managers must invest time in making sure this business asset is properly named, tagged, stored, and archived in a taxonomy that is consistent with all of the other assets in the enterprise. This is what we call, “metadata management.” Let’s get into it.

What is metadata?

The most frequently cited definition for metadata is, “data on the data.” The main difference between Data and Metadata is that data is simply the content that can provide a description, measurement…


Gartner stated: “Within the next year, the number of data and analytics experts in business units will grow at three times the rate of experts in IT departments, which will force companies to rethink their organizational models and skill sets.”

As data volume continues to increase, the pressure for enterprises to deliver faster and higher quality data is causing data & analytics leaders to rethink the way their teams operate. Where traditional analytics models were used in the past, these waterfall methodologies are proving to be too time consuming and overwhelming!

In the same way DevOps works, the new way for data analytics teams to work is through a Data Ops approach. Let’s get into it.

What is Data Ops ?

First of all what is Data Ops? Gartner defines it as being : “collaborative data management practice focused on improving the communication, integration and…


Data catalog features

Effective data management has become a top priority for enterprises, as data has become an important strategic asset in order for organizations to reach their business objectives. Managing data from various types of data sources and storages can be difficult, which data catalogs now fill an essential role in overcoming this challenge.

In this article, find out the 5 main features of a data catalog to understand its purpose.

To discover more features, check out our website.

What is a data catalog?

Data catalogs were introduced to help data consumers find and understand data. Before their advent, data consumers worked blindly, taking a considerable amount…


source: sudouest.fr

It is clear that the GAFA (Google, Amazon, Facebook, Apple) and other various Web Giants such as Uber, Airbnb, and TripAdvisor are the most influential enterprises in the history of capitalism. These American companies are seen as some of the most powerful companies in the world.

But even the most powerful companies in the world have trouble working with their data. With millions and millions of data pouring in each day, these powerful Web Giants were in need of a single tool to organize, centralize, and valorize their data.

This tool has a name: a data catalog. Let’s see several…

Zeenea

Be data fluent with our data catalog

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