What is Data Architect?
Posted: Tue Feb 18, 2025 5:09 am
Data-centric architecture is a business approach that places data at the center of an enterprise's infrastructure , while technology is built around it.
In this way, it is understood that tools, applications, software and other infrastructure technologies can come and go. However, data remains in the same place, because it is the main asset of organizations.
Below you can see in the figure an example of a data-centric cloud spain phone number list model. Data is integrated at the core, while policies and standards are around it, even when different types of applications are used (SaaS, IaaS, On-premises, Edge).
Data Architect
Source: Architecting.it
In the context of digital transformation, there is a lot of talk in the market about creating data -driven companies . In line with this mindset, they must build tools and skills to acquire and analyze data in order to make the best decisions.
The argument now being made is that data is more than just a decision-maker: it is the most important business asset . Therefore, companies must be data-centric to achieve business intelligence and competitive advantage.
Artificial intelligence, deep learning , graph processing and big data technologies are at the heart of business innovation and require a modern basis for their processing. This is reflected in the renewal of data center architecture, which must move from focusing on computers and applications to putting data in their place.
In this way, it is understood that tools, applications, software and other infrastructure technologies can come and go. However, data remains in the same place, because it is the main asset of organizations.
Below you can see in the figure an example of a data-centric cloud spain phone number list model. Data is integrated at the core, while policies and standards are around it, even when different types of applications are used (SaaS, IaaS, On-premises, Edge).
Data Architect
Source: Architecting.it
In the context of digital transformation, there is a lot of talk in the market about creating data -driven companies . In line with this mindset, they must build tools and skills to acquire and analyze data in order to make the best decisions.
The argument now being made is that data is more than just a decision-maker: it is the most important business asset . Therefore, companies must be data-centric to achieve business intelligence and competitive advantage.
Artificial intelligence, deep learning , graph processing and big data technologies are at the heart of business innovation and require a modern basis for their processing. This is reflected in the renewal of data center architecture, which must move from focusing on computers and applications to putting data in their place.