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In this way, it is understood that tools, applications, software and other infrastructure technologies can come and go. However, the data remains in the same place, because it is the main asset of organizations. Below, you can see an example of a data-centric cloud model in the figure. They are built into the center, while policies and standards are around them, even when using different types of applications (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 . According to this mindset, they must build tools and skills to acquire and analyze data to make the best decisions.
What is now being argued is that data are Telegram Number Data more than decision guides: they are the main business assets . Therefore, companies must be data-centric or 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 foundation for processing. This is reflected in the renewal of data center architecture, which must stop focusing on computers and applications to put data in its place.
What are the benefits of a data-centric model? In a world of rapidly evolving technologies and applications, businesses need to migrate data back and forth. With the explosive growth of Big Data and the data sources that organizations operate with, this scenario can become chaotic. Data is often lost during migrations. Likewise, these assets become vulnerable, and may even generate losses for companies. For this reason, the data-centric architecture model tends to bring benefits to companies by placing data as permanent assets . Below, we give you the main advantages of working with this model in your organization: Data Integrability In a barely data-driven model, they can come from different sources and in different formats.
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