#AI: 7 hot topics for 2025
The 7 IA hot topics of this 9th edition are the solutions for the performing company. What are specifically the trends and topics to track in 2025? Here our videos...
Data Governance and Data Management: what's the difference?
In a world where companies' ambition is to be data-driven, data governance and data management are still too often regarded as being synonymous. Let us clear up the confusion. Data...
REPLAY | Let’s win the Data Mesh Battle: the winning alliance between Data Architecture and Data Governance
The Data Mesh vision has brought to light the various challenges that companies face in managing and effectively utilizing their data. This is not a new challenge, as it has...
REPLAY | The missing pillars in the Data Mesh approach
Is Data Mesh a utopia? For two years now, the concept of Data Mesh has been seen as a revolution in the world of data since it would fill the...
WHITEPAPER | Spiderman guides you towards a data-driven company
There is tremendous enthusiasm for Data Mesh. And for good reason: we finally have a complete framework for valuing data at company level. This white paper offers you a deep...
Data Mesh, a total data-driven model
Through its four main pillars, Data Mesh truly moves away from the dogma of centralisation and all-technology in favor of a global approach based on federation. Data Mesh thus promises...
#Data #AI: 7 hot topics for 2023
The 7 hot topics Data and AI of this 7th edition are the solutions for the performing company. What are specifically the trends and topics to track in 2023? This...
Data Mesh: Practical examples and feedback
Mastering data and its uses to create value is an ambition that is increasingly shared. However, organisations continue to face obstacles that Data Mesh could help to overcome… provided the...
Data Mesh: federated governance to guarantee efficiency
Data governance is an essential part of any data strategy. Nevertheless, it remains complex to deploy in a traditional organisation, but through its federated approach, Data Mesh is able to...
Data infrastructure self-service as the technological driving force behind Data Mesh
Data Mesh is not strictly speaking a technological approach, but data domains need powerful technical resources to develop their products. The data platform and its infrastructure are a facilitator for...
Data Mesh: data is a product
Oil, digital black gold, strategic asset… With Data Mesh, data is regarded as a product. Data domains are responsible for managing the life cycle of these products and for sharing...
Data domains: Data Mesh gives business domains superpowers
The Data Mesh concept is based on four main pillars, the first of which is an organisation divided into data domains. To be effective, this structure must reflect the business...
Data Mesh:The ultimate model for data-driven companies?
A new paradigm for data management, Data Mesh breaks with data centralisation models used for the past 30 years. Its foundations: federated decentralisation and redistribution of responsibility for the benefit...
TUTORIEL | Spark Structured Streaming: performance testing
Spark is an open source distributed computing framework that is more efficient than Hadoop, supports three main languages (Scala, Java and Python) and has rapidly carved out a significant niche...