Feature note #5 – Business Glossary

Feature note #5 – Business Glossary


business glossary makes it possible to define terms used within an enterprise. It is a trusted reference business “dictionary” in an organization.

Its main objectives, among others, are to:

  • Use the same definitions and create a common language between all employees,
  • Have a better understanding and collaboration between business and IT teams,
  • Associate business terms to other assets in the enterprise and offer an overview of their different connections,
  • Elaborate and share a set of rules regarding data governance.


Since our latest release note 19.07, Zeenea offers a business glossary within its data catalog. This feature was developed to answer our clients’ needs: to link a business term to another informational asset, in our case, in the data domaine

Zeenea automatically connects and imports your glossaries and dictionaries in our tool with our APIs. A glossary can also be manually created within Zeenea’s interface. 

In the same way as you can for any given dataset, it is possible to visualize business terms in the “Glossary” tab. These new assets can be:

  • documented (descriptions, tags, properties, etc.)
  • linked to one or many contacts
  • indexed in our search engine
  • affiliated to a field in a dataset’s schema

It is up to the Data Steward to confirm – manually or with our intelligent suggestions – one or more business terms to a field. This information can be documented and viewed on the field page of a dataset.

Links between business terms and specific fields are also visible on the business terms page. On this page, the “fields” tab shows all of the fields related to the selected business terms.



Release Note July 2019: Business terms & new Connectors

Release Note July 2019: Business terms & new Connectors

This latest release concentrates on the creation of new assets, business terms, and the technical environment in which Zeenea connects itself in the enterprise.


A Business glossary defines a certain number of terms that are linked to a business domain. Its objective is to align all collaborators on the definition of a specific term in the organization, as well as in database systems.

Manually in Zeenea, or connected to the enterprise’s existing dictionaries, create a Business Glossary that is accessible in our data catalog. 

In order to establish a common language around data in an enterprise, it is necessary to offer this new asset to our clients – we call them business terms. These terms thus become assets, and like datasets, they are documentable and searchable in our tool. These business terms then become linked to the fields in datasets that are catalogued in Zeenea. 

All affiliated fields become visible on the screen of the business term in question.


Zeenea offers new connectors. They are ElasticSearch, and Red Shift. Release after release, Zeenea develops a set of connectors that will automatically inventory newly stored datasets in your different bases. 

We also offer open connectors on Open Data, such as CKan. 


With its connectors, Zeenea inventories and exposes on its interface all available datasets in the requested database. We are referring to our Data Discovery feature: Zeenea detects stored datasets and their modifications in the databases. 

Currently, our data catalog notifies you when a dataset no longer exists in the storage systems connected to Zeenea. You will have the choice to keep the listed information in the data catalog or delete them.


In order to facilitate the use of Zeenea in your teams, our data catalog now supports different languages. Depending on your browser settings, you Zeenea is displayed in the language of your choice.

Otherwise, Zeenea is by default in English. 🙂

Feature note: Data Discovery

Feature note: Data Discovery

Do you know your enterprise’s data assets? The datasets that are stored in your data storages? The new datasets that were collected? And how frequently they are updated? Here are some of the questions that enterprises must answer in order to become data-driven.

To help our clients map their data, Zeenea offers new features:


Through our connectors, Zeenea inventories and exposes from its interface all the datasets available in the requested database. This feature helps Chief Data Officers and their teams to map the enterprise’s data assets.

In other words, from Zeenea’s interface, our data discovery feature allows you to:

  1. Visualize data assets in each storage system that Zeenea is connected to (number of stored datasets and their IDs).
  2. Identify your golden datasets for each data storage.
  3. Import these datasets in Zeenea with just a few clicks.


Do you know when a new dataset is stored in one of your bases? Or if one of your datasets has been updated (its documentation or schema)?

Connected to your data systems, Zeenea detects newly collected and stored datasets as well as their modifications in your databases through its last inventory.

Configure Zeenea’s crunch frequency in your databases and be notified of the latest “news”!


Our Discovery API allows you to visualize new datasets stored by data storages from a specific date. It’s up to you to integrate them though Zeenea’s interface or to use the Discovery API to catalog the datasets that you wish to import.

Feature note: catalog metadata in our metadata management platform

Feature note: catalog metadata in our metadata management platform

It is for this very reason that Zeenea is the enterprise’s metadata catalog. In other words, Zeenea references intrinsic metadata of various cataloged data sets in the tool and allows you to personalize certain fields. What are they?



The various users of the catalog (where information is synched with an LDAP repository) can be associated with different data sets with a certain level of responsibility (configurable roles).


A properties system in the form of a key/value (configurable), which allows you to create a bona fide documentation data template.


A tags system lets you create an authentic taxonomy within the catalog.


Data set categories allow you to organize the catalog and logically regroup data sets by technical validity or by business use.

In the same way as for a data set, categories have their own metadata. Who is the referent contact of the category? What are the associated properties? What tags should be assigned to it? Etc.


The representation of cataloged data sets’ diagram in Zeenea allows you to annotate the attributes of data sets (in columns) by the help of metadata (business name, descriptions, tags, sensitivity level, etc.).

Feature note: Modular productivity template

Feature note: Modular productivity template

The next generation of available applications on the market wants to be as modular as possible! This approach aims to offer customizable semantics and a non-intrusive construction in order to make their reading and integration more fluide in your environment.

To know more about the subject, this article defines this new wave of software: Why Modular Productivity Softwares Are Only Just Beginning ?

With this shared conviction, we develop a data catalog that will allow you, freely, to completely personalize your datasets documentation layout and thus, help you progress step by step.

In this latest product release, we offer  the possibility to redesign with a modular approach your properties construction.




  • Dataset: a collection of data, commonly corresponding to a database table
  • Category: a category brings together different datasets grouped together by a Zeenea administrator based on their business or technical goal.
  • Process: the activities that led to the creation of a specific dataset.
  • Properties: a set of information giving context to a category, dataset or process.



Zeenea automatically captures and updates technical and operation metadata from an enterprise’s data sources in its data catalog.  Our tool also allows you to add and configure – at the hand of the data catalog’s administrator –  to overlay information (information that can be mandatory or not) on Zeenea’s cataloged datasets. This additional information, we call them properties! This contextual information is mainly referred to business and operational documentation.

Some examples of additional properties could be:

  • a data’s sensitivity level
  • how frequent a dataset is updated in Zeenea
  • the business unit
  • Etc.

Via this approach, we offer to the tool’s administrator a simple and modular way to configure documentation templates according to the enterprise’s objectives and priorities.



This “custom layout” est the first step to a tool that we wish to be as modular and non-intrusive as possible! We want to offer a data catalog that will adapt to your organization and not the other way around.

We will propose pre-configured property templates for administrators and automate tedious actions to increase productivity.

For more information, contact us at info@zeenea.com.