Camila Casarotto
Jan 28, 22 | 9 min read
data architect
Reading time: 7 minutes
In the digital transformation scenario in the business world, data is no longer just a source of information or a business asset. Today, it is the core of business strategies and, as such, must be placed at the center of your decisions.
For this reason, the Data Architect has turkey email list positioned herself as essential for the performance of organizations. This concept places data as a central element, while technology is built around it and not the other way around, as companies usually do and end up losing their bearings.
In this post, we explain this concept that is extremely applied in organizations to promote business intelligence , also known as Business Intelligence, and the development of artificial intelligence and machine learning technologies.
Continue reading our article to find out:
What is Data Architect?
What are the benefits of a data-centric model?
What are the principles of data-centric architecture?
What are the pillars of data-centric architecture?
How to implement data-centric architecture?
What challenges may arise?
Take advantage of the moment and update yourself on this topic!
What is Data Architect?
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 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 or data-driven 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.
