What is Data Profiling?
The purpose of any data project is to transform available data into valuable assets that will put your company on ...
Data Inspiration
At Zeenea, we are passionate about data and technology.
In this section of our blog, you will find articles on various data trends, as well as dive into some of the top data companies that have largely inspired our data catalog software.
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5 best practices for a successful Master Data Management strategy
Multiple data sources, overburdening data assets - managing data consistently and pragmatically is a daily ...
Everything you need to know about a Data Fabric
As early as 2019, the concept of a Data Fabric was identified by Gartner as a major technological trend for 2022. ...
Guide to Data Quality Management #4 – The Data Catalog contribution to DQM
Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
Guide to Data Quality Management #3 – The main features of DQM tools
Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
Guide to Data Quality Management #2 – The challenges and risks associated with Data Quality
Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
Guide to Data Quality Management #1 – The 9 Dimensions of Data Quality
Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
What is data fragmentation and how to overcome it?
Data-driven companies do everything they can to efficiently collect and exploit data. But if they are not careful, ...
What is the difference between a Data Architect and a Data Engineer?
The growing importance of data in organizations undergoing digital transformation is redefining the roles and ...
The Top 5 Data Trends to look out for in 2022
The role of data is central to corporate strategies, no matter the industry. However, the challenges related to ...
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 ...
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 ...
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 ...
Data storytelling: how to have effective data communication
It’s been said time and time again that data can bring so much value to a company. However, in order for your data ...
The challenges and benefits of data in the healthcare industry
According to a study conducted by IDC, the data production growth rate in healthcare is expected to exceed that of ...
What is Data Mesh?
In this new era of information, new terms are used in organizations working with data: Data Management Platform, ...
Data Lakes: The benefits and challenges
Data Lakes are increasingly used by companies for storing their enterprise data. However, storing large quantities ...
Data strategy: how to break down data silos?
Whether it comes from Product life cycles, marketing, or customer relations, data is omnipresent in the daily life ...
The keys to succeed your Cloud Migration
The recent COVID-19 pandemic has brought about major changes in the work culture and the Cloud is becoming an ...
What are the differences between a Data Analyst and a Business Analyst?
So similar yet, so different! The roles of a Data Analyst and a Business Analyst are very often unclear, even ...
What is a Data Product Manager?
Data Product Management has been a regular topic of discussion among Data Science, Engineering and Product ...
Data quality management: the ingredients to improve the efficiency of your data
Photo credit: AkeneoHaving large volumes of data is useless if they are of poor quality. The challenge of Data ...
COVID19: The rise of digital transformations for enterprises
2020 has marked a turning point in companies' processes for digital transformation. The coronavirus and its ...
Best practices for succeeding your digital transformation
Today, data impacts all sectors; all companies are confronted with data management challenges, in one way or ...
How Total accelerated their digital transformation
Total, one of the 7 “SuperMajor” oil companies, has recently opened their Digital Factory earlier this year in ...
IoT in manufacturing: why your enterprise needs a data catalog
Digital transformation has become a priority in organizations' business strategies and manufacturing industries ...
How has data impacted the manufacturing industry?
The place of data is - or should be - central to a manufacturing industry’s strategy. From production flows ...
Marquez: the metadata discovery solution at WeWork
Created in 2010, WeWork is a global office & workspace leasing company. Their objective is to provide space ...
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 ...
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 ...
The Most used Data Management Solutions in 2020
It is no secret that after various articles from Gartner, and other famous data and analytics consulting firms ...
Gartner’s top Data & Analytics trends in 2020
The recent global pandemic has left many organizations in an uncertain and fragile state. It is therefore a ...
The must-have roles for the perfect data & analytics team
As it’s been repeatedly said, digital business can not happen without data and analytics at its core. Technology ...
Data management is embracing Cloud technologies
Contemporary business initiatives such as digital transformation, are facing an explosion of data volume and ...
WhereHows: A data discovery and lineage portal for LinkedIn
Metadata is becoming increasingly important for modern data-driven enterprises. In a world where the data ...
Data Ops rules to avoid Data Oops
Data Ops is a new way to address the deployment of data and analytics solutions.The success of this methodology ...
Everything you need to know about Data Ops
"Within the next year, the number of data and analytics experts in business units will grow at three times the ...
How Spotify improved their Data Discovery for their Data Scientists
As the world leader in the music streaming market, it is without question that the huge firm is driven by ...
Metadata through the eyes of Web Giants
Data life cycle analysis is an element in data management that enterprises are still struggling to ...
Amundsen: How Lyft is able to easily discover their data
In our last article, we spoke of Uber’s Databook , an in-house platform designed by their very own engineers with ...
Databook: How Uber turns data into exploitable knowledge with metadata
Uber is one of the most fascinating companies to emerge over the past decade. Founded in 2009, Uber grew to become ...
What is Data Fingerprinting and similarity detection?
With the emergence of Big Data, enterprises found themselves with a colossal amount of data. In order to ...
How does data visualization bring value to an organization?
Data visualization is defined as a graphical representation of data. It is used to help people understand the context and significance of their information by showing patterns, trends and correlations that may be difficult to interpret in plain text form. These visual representations can be in the form of graphs, pie charts, heat maps, sparklines, and much more.
Artificial Intelligence Conferences at AI Paris 2019
As a sponsor for this year’s AI Paris 2019, we were able to attend several conferences based on artificial ...
How to become Data Driven according to Charlotte Tilbury
Zeenea’s participation in the AI & Big Data Global Expo in London on the 25th and 26th of April has officially ...
Google Goods: The management and data democratization tool of Google
When you’re called Google, the data issue is more than just central. A colossal amount of information is generated ...
Metacat: Netflix makes their Big Data accessible and useful
Like many numerous companies, Netflix has a colossal amount of data that come from many different data sources ...
How Big Data & Machine Learning contributed to Zalando’s success
For the second year in a row, Zeenea participated at Big Data Paris as a sponsor this past 11th and 12th ...
McDonald’s France : How Big Data changed the firm
As a sponsor for the 2019 “Big Data Paris” trade show, Zeenea had the opportunity to attend to many ...
Data portal, the data centric tool of AirBnB
AirBnB is a burgeoning enterprise. To keep pace with their rapid expansion, AirBnB needed to really think about ...
U
What is Data Profiling?
The purpose of any data project is to transform available data into valuable assets that will put your company on ...
5 best practices for a successful Master Data Management strategy
Multiple data sources, overburdening data assets - managing data consistently and pragmatically is a daily ...
Everything you need to know about a Data Fabric
As early as 2019, the concept of a Data Fabric was identified by Gartner as a major technological trend for 2022. ...
Guide to Data Quality Management #4 – The Data Catalog contribution to DQM
Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
Guide to Data Quality Management #3 – The main features of DQM tools
Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
Guide to Data Quality Management #2 – The challenges and risks associated with Data Quality
Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
Guide to Data Quality Management #1 – The 9 Dimensions of Data Quality
Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
What is data fragmentation and how to overcome it?
Data-driven companies do everything they can to efficiently collect and exploit data. But if they are not careful, ...
What is the difference between a Data Architect and a Data Engineer?
The growing importance of data in organizations undergoing digital transformation is redefining the roles and ...
The Top 5 Data Trends to look out for in 2022
The role of data is central to corporate strategies, no matter the industry. However, the challenges related to ...
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 ...
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 ...
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 ...
Data storytelling: how to have effective data communication
It’s been said time and time again that data can bring so much value to a company. However, in order for your data ...
The challenges and benefits of data in the healthcare industry
According to a study conducted by IDC, the data production growth rate in healthcare is expected to exceed that of ...
What is Data Mesh?
In this new era of information, new terms are used in organizations working with data: Data Management Platform, ...
Data Lakes: The benefits and challenges
Data Lakes are increasingly used by companies for storing their enterprise data. However, storing large quantities ...
Data strategy: how to break down data silos?
Whether it comes from Product life cycles, marketing, or customer relations, data is omnipresent in the daily life ...
The keys to succeed your Cloud Migration
The recent COVID-19 pandemic has brought about major changes in the work culture and the Cloud is becoming an ...
What are the differences between a Data Analyst and a Business Analyst?
So similar yet, so different! The roles of a Data Analyst and a Business Analyst are very often unclear, even ...
What is a Data Product Manager?
Data Product Management has been a regular topic of discussion among Data Science, Engineering and Product ...
Data quality management: the ingredients to improve the efficiency of your data
Photo credit: AkeneoHaving large volumes of data is useless if they are of poor quality. The challenge of Data ...
COVID19: The rise of digital transformations for enterprises
2020 has marked a turning point in companies' processes for digital transformation. The coronavirus and its ...
Best practices for succeeding your digital transformation
Today, data impacts all sectors; all companies are confronted with data management challenges, in one way or ...
How Total accelerated their digital transformation
Total, one of the 7 “SuperMajor” oil companies, has recently opened their Digital Factory earlier this year in ...
IoT in manufacturing: why your enterprise needs a data catalog
Digital transformation has become a priority in organizations' business strategies and manufacturing industries ...
How has data impacted the manufacturing industry?
The place of data is - or should be - central to a manufacturing industry’s strategy. From production flows ...
Marquez: the metadata discovery solution at WeWork
Created in 2010, WeWork is a global office & workspace leasing company. Their objective is to provide space ...
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 ...
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 ...
The Most used Data Management Solutions in 2020
It is no secret that after various articles from Gartner, and other famous data and analytics consulting firms ...
Gartner’s top Data & Analytics trends in 2020
The recent global pandemic has left many organizations in an uncertain and fragile state. It is therefore a ...
The must-have roles for the perfect data & analytics team
As it’s been repeatedly said, digital business can not happen without data and analytics at its core. Technology ...
Data management is embracing Cloud technologies
Contemporary business initiatives such as digital transformation, are facing an explosion of data volume and ...
WhereHows: A data discovery and lineage portal for LinkedIn
Metadata is becoming increasingly important for modern data-driven enterprises. In a world where the data ...
Data Ops rules to avoid Data Oops
Data Ops is a new way to address the deployment of data and analytics solutions.The success of this methodology ...
Everything you need to know about Data Ops
"Within the next year, the number of data and analytics experts in business units will grow at three times the ...
How Spotify improved their Data Discovery for their Data Scientists
As the world leader in the music streaming market, it is without question that the huge firm is driven by ...
Metadata through the eyes of Web Giants
Data life cycle analysis is an element in data management that enterprises are still struggling to ...
Amundsen: How Lyft is able to easily discover their data
In our last article, we spoke of Uber’s Databook , an in-house platform designed by their very own engineers with ...
Databook: How Uber turns data into exploitable knowledge with metadata
Uber is one of the most fascinating companies to emerge over the past decade. Founded in 2009, Uber grew to become ...
What is Data Fingerprinting and similarity detection?
With the emergence of Big Data, enterprises found themselves with a colossal amount of data. In order to ...
How does data visualization bring value to an organization?
Data visualization is defined as a graphical representation of data. It is used to help people understand the context and significance of their information by showing patterns, trends and correlations that may be difficult to interpret in plain text form. These visual representations can be in the form of graphs, pie charts, heat maps, sparklines, and much more.
Artificial Intelligence Conferences at AI Paris 2019
As a sponsor for this year’s AI Paris 2019, we were able to attend several conferences based on artificial ...
How to become Data Driven according to Charlotte Tilbury
Zeenea’s participation in the AI & Big Data Global Expo in London on the 25th and 26th of April has officially ...
Google Goods: The management and data democratization tool of Google
When you’re called Google, the data issue is more than just central. A colossal amount of information is generated ...
Metacat: Netflix makes their Big Data accessible and useful
Like many numerous companies, Netflix has a colossal amount of data that come from many different data sources ...
How Big Data & Machine Learning contributed to Zalando’s success
For the second year in a row, Zeenea participated at Big Data Paris as a sponsor this past 11th and 12th ...
McDonald’s France : How Big Data changed the firm
As a sponsor for the 2019 “Big Data Paris” trade show, Zeenea had the opportunity to attend to many ...
Data portal, the data centric tool of AirBnB
AirBnB is a burgeoning enterprise. To keep pace with their rapid expansion, AirBnB needed to really think about ...
U
What is Data Profiling?
The purpose of any data project is to transform available data into valuable assets that will put your company on ...
5 best practices for a successful Master Data Management strategy
Multiple data sources, overburdening data assets - managing data consistently and pragmatically is a daily ...
Everything you need to know about a Data Fabric
As early as 2019, the concept of a Data Fabric was identified by Gartner as a major technological trend for 2022. ...
Guide to Data Quality Management #4 – The Data Catalog contribution to DQM
Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
Guide to Data Quality Management #3 – The main features of DQM tools
Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
Guide to Data Quality Management #2 – The challenges and risks associated with Data Quality
Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
Guide to Data Quality Management #1 – The 9 Dimensions of Data Quality
Data Quality refers to an organization’s ability to maintain the quality of its data in time. If we were to take ...
What is data fragmentation and how to overcome it?
Data-driven companies do everything they can to efficiently collect and exploit data. But if they are not careful, ...
What is the difference between a Data Architect and a Data Engineer?
The growing importance of data in organizations undergoing digital transformation is redefining the roles and ...
The Top 5 Data Trends to look out for in 2022
The role of data is central to corporate strategies, no matter the industry. However, the challenges related to ...
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 ...
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 ...
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 ...
Data storytelling: how to have effective data communication
It’s been said time and time again that data can bring so much value to a company. However, in order for your data ...
The challenges and benefits of data in the healthcare industry
According to a study conducted by IDC, the data production growth rate in healthcare is expected to exceed that of ...
What is Data Mesh?
In this new era of information, new terms are used in organizations working with data: Data Management Platform, ...
Data Lakes: The benefits and challenges
Data Lakes are increasingly used by companies for storing their enterprise data. However, storing large quantities ...
Data strategy: how to break down data silos?
Whether it comes from Product life cycles, marketing, or customer relations, data is omnipresent in the daily life ...
The keys to succeed your Cloud Migration
The recent COVID-19 pandemic has brought about major changes in the work culture and the Cloud is becoming an ...
What are the differences between a Data Analyst and a Business Analyst?
So similar yet, so different! The roles of a Data Analyst and a Business Analyst are very often unclear, even ...
What is a Data Product Manager?
Data Product Management has been a regular topic of discussion among Data Science, Engineering and Product ...
Data quality management: the ingredients to improve the efficiency of your data
Photo credit: AkeneoHaving large volumes of data is useless if they are of poor quality. The challenge of Data ...
COVID19: The rise of digital transformations for enterprises
2020 has marked a turning point in companies' processes for digital transformation. The coronavirus and its ...
Best practices for succeeding your digital transformation
Today, data impacts all sectors; all companies are confronted with data management challenges, in one way or ...
How Total accelerated their digital transformation
Total, one of the 7 “SuperMajor” oil companies, has recently opened their Digital Factory earlier this year in ...
IoT in manufacturing: why your enterprise needs a data catalog
Digital transformation has become a priority in organizations' business strategies and manufacturing industries ...
How has data impacted the manufacturing industry?
The place of data is - or should be - central to a manufacturing industry’s strategy. From production flows ...
Marquez: the metadata discovery solution at WeWork
Created in 2010, WeWork is a global office & workspace leasing company. Their objective is to provide space ...
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 ...
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 ...
The Most used Data Management Solutions in 2020
It is no secret that after various articles from Gartner, and other famous data and analytics consulting firms ...
Gartner’s top Data & Analytics trends in 2020
The recent global pandemic has left many organizations in an uncertain and fragile state. It is therefore a ...
The must-have roles for the perfect data & analytics team
As it’s been repeatedly said, digital business can not happen without data and analytics at its core. Technology ...
Data management is embracing Cloud technologies
Contemporary business initiatives such as digital transformation, are facing an explosion of data volume and ...
WhereHows: A data discovery and lineage portal for LinkedIn
Metadata is becoming increasingly important for modern data-driven enterprises. In a world where the data ...
Data Ops rules to avoid Data Oops
Data Ops is a new way to address the deployment of data and analytics solutions.The success of this methodology ...
Everything you need to know about Data Ops
"Within the next year, the number of data and analytics experts in business units will grow at three times the ...
How Spotify improved their Data Discovery for their Data Scientists
As the world leader in the music streaming market, it is without question that the huge firm is driven by ...
Metadata through the eyes of Web Giants
Data life cycle analysis is an element in data management that enterprises are still struggling to ...
Amundsen: How Lyft is able to easily discover their data
In our last article, we spoke of Uber’s Databook , an in-house platform designed by their very own engineers with ...
Databook: How Uber turns data into exploitable knowledge with metadata
Uber is one of the most fascinating companies to emerge over the past decade. Founded in 2009, Uber grew to become ...
What is Data Fingerprinting and similarity detection?
With the emergence of Big Data, enterprises found themselves with a colossal amount of data. In order to ...
How does data visualization bring value to an organization?
Data visualization is defined as a graphical representation of data. It is used to help people understand the context and significance of their information by showing patterns, trends and correlations that may be difficult to interpret in plain text form. These visual representations can be in the form of graphs, pie charts, heat maps, sparklines, and much more.
Artificial Intelligence Conferences at AI Paris 2019
As a sponsor for this year’s AI Paris 2019, we were able to attend several conferences based on artificial ...
How to become Data Driven according to Charlotte Tilbury
Zeenea’s participation in the AI & Big Data Global Expo in London on the 25th and 26th of April has officially ...
Google Goods: The management and data democratization tool of Google
When you’re called Google, the data issue is more than just central. A colossal amount of information is generated ...
Metacat: Netflix makes their Big Data accessible and useful
Like many numerous companies, Netflix has a colossal amount of data that come from many different data sources ...
How Big Data & Machine Learning contributed to Zalando’s success
For the second year in a row, Zeenea participated at Big Data Paris as a sponsor this past 11th and 12th ...
McDonald’s France : How Big Data changed the firm
As a sponsor for the 2019 “Big Data Paris” trade show, Zeenea had the opportunity to attend to many ...
Data portal, the data centric tool of AirBnB
AirBnB is a burgeoning enterprise. To keep pace with their rapid expansion, AirBnB needed to really think about ...
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